idx
stringlengths 16
54
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stringclasses 2
values | skill
stringclasses 3
values | frequency
stringclasses 6
values | history_values
stringlengths 119
5.11k
| history_start
stringclasses 47
values | history_end
stringlengths 7
19
| future_values
stringlengths 53
1.68k
| future_start
stringlengths 7
19
| future_end
stringlengths 7
19
| entry_sep
stringclasses 1
value | roi
stringlengths 0
297
| pred_length
int64 15
240
| system_prompt
stringclasses 1
value | user_instruct
stringlengths 182
237
| context_info
stringlengths 70
1.49k
| prompt
stringlengths 505
5.76k
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
anomaly_explicit/template0/item0
|
GIFT synthesize
|
anomaly
|
D
|
45.104,79.022,108.380,130.293,349.321,558.734,758.739,950.305,1134.104,1311.993,1487.250,1661.686,1632.464,1607.898,1590.064,1344.266,1112.177,899.515,709.815,546.336,410.910,304.957,228.124,180.906,161.755,186.750,204.405,211.847,210.322,199.754,181.145,155.469,125.881,94.922,64.674,37.938,17.032,3.750,0.000,5.167,19.710,42.721,72.445,107.101,143.529,179.847,213.078,240.783,261.322,272.925,275.457,268.052,252.399,229.542,201.278,170.548,139.593,111.322,87.949,71.523,63.278,64.584,75.658,94.827,121.851,154.264,190.013,226.625,260.826,290.835,314.003,329.260,335.220,427.572,148.605,387.783,219.602,548.669,123.435,460.280,241.474,464.064,679.559,500.189,710.574,869.328,985.116,1010.289,1556.433,1466.911,2040.045,2242.954,2268.545,2129.057,1981.546,1827.236,1666.784,1502.243,1336.196,1171.494,1012.456,861.111,722.210,597.396,490.346,402.934,335.914,289.969,265.354,260.163,273.003,308.037,343.290,375.824,404.092,425.240,438.063,441.988,436.512,422.706,401.084,374.322,344.268,313.215,284.356,259.517,241.076,231.206,229.303,237.256,253.609,277.697,307.739,341.404,376.012,409.731,439.519,463.372,479.169,486.462,485.026,473.855,455.588,430.521,401.333,370.526,340.438,313.735,292.573,278.284,272.846,276.658,289.070,309.891,336.781,368.826
|
2025-10-10 00:00:00
|
2026-03-14 00:00:00
|
402.873,436.584,467.769,493.818,512.793,523.240,524.807,517.773,501.788,479.120,451.661,420.819,390.106,361.369,337.711,320.128,311.013,310.448,318.996,336.027,360.150,390.035,422.790,456.281,488.259,516.004,537.864,551.647,556.554,552.514,539.779,519.717,493.478,463.748,432.535,402.473,375.970,355.366,342.552,337.904,342.326,355.552,376.539,403.847,435.209,468.396,500.887,530.050,553.980,570.941,578.880,578.606,569.246,551.312,527.356,498.452,466.873,436.022,407.569,384.061,367.219,358.581,358.693,368.351,385.453,409.908,439.908,471.934,504.750,535.440,561.471,581.078,592.400,595.254,588.953,573.926,552.215,524.217,493.266,461.362,431.087,404.651,384.718,371.819,368.214,373.477,387.328,408.855,435.995,467.416,500.078,531.305,559.355,581.506,596.076,601.901,599.020,587.058,567.843,541.258
|
2026-03-15 00:00:00
|
2026-06-22 00:00:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-10-12 00:00:00 to 2025-11-03 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2025-12-21 00:00:00 to 2026-01-28 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
|
<history>45.104,79.022,108.380,130.293,349.321,558.734,758.739,950.305,1134.104,1311.993,1487.250,1661.686,1632.464,1607.898,1590.064,1344.266,1112.177,899.515,709.815,546.336,410.910,304.957,228.124,180.906,161.755,186.750,204.405,211.847,210.322,199.754,181.145,155.469,125.881,94.922,64.674,37.938,17.032,3.750,0.000,5.167,19.710,42.721,72.445,107.101,143.529,179.847,213.078,240.783,261.322,272.925,275.457,268.052,252.399,229.542,201.278,170.548,139.593,111.322,87.949,71.523,63.278,64.584,75.658,94.827,121.851,154.264,190.013,226.625,260.826,290.835,314.003,329.260,335.220,427.572,148.605,387.783,219.602,548.669,123.435,460.280,241.474,464.064,679.559,500.189,710.574,869.328,985.116,1010.289,1556.433,1466.911,2040.045,2242.954,2268.545,2129.057,1981.546,1827.236,1666.784,1502.243,1336.196,1171.494,1012.456,861.111,722.210,597.396,490.346,402.934,335.914,289.969,265.354,260.163,273.003,308.037,343.290,375.824,404.092,425.240,438.063,441.988,436.512,422.706,401.084,374.322,344.268,313.215,284.356,259.517,241.076,231.206,229.303,237.256,253.609,277.697,307.739,341.404,376.012,409.731,439.519,463.372,479.169,486.462,485.026,473.855,455.588,430.521,401.333,370.526,340.438,313.735,292.573,278.284,272.846,276.658,289.070,309.891,336.781,368.826</history>
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-10-12 00:00:00 to 2025-11-03 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2025-12-21 00:00:00 to 2026-01-28 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template1/item0
|
GIFT synthesize
|
anomaly
|
D
|
46.772,99.481,164.879,238.480,316.446,395.768,470.917,538.994,596.387,639.657,664.900,674.772,663.466,636.520,593.470,536.605,467.878,392.910,314.391,238.260,165.277,103.903,52.939,18.215,0.000,0.491,19.617,54.671,104.645,168.635,241.853,320.678,400.364,477.662,548.539,608.676,655.085,685.787,461.035,460.935,530.947,623.250,579.179,326.294,261.821,616.636,192.082,718.514,153.847,781.140,801.142,295.323,359.730,899.933,780.651,1308.204,1228.571,1365.758,1758.350,1838.820,1916.323,1787.794,1654.223,1513.372,1371.133,1226.811,1082.367,943.700,811.192,691.172,586.964,517.199,442.568,367.587,296.509,232.720,180.658,141.816,119.329,114.643,128.593,159.962,207.323,266.653,338.777,415.385,497.090,577.025,650.717,717.258,771.661,809.647,831.515,836.448,822.123,791.947,745.016,687.703,622.182,549.638,474.901,405.319,341.403,287.887,248.115,223.726,216.382,227.767,256.601,301.166,360.490,431.140,507.593,588.582,670.766,747.340,815.931,872.785,916.296,940.623,950.644,941.300,914.818,873.029,819.966,755.497,684.493,614.010,543.195,1607.356,1552.724,1447.065,1363.119,1305.731,1275.252,1270.957,1291.578,1335.811,1404.567,1482.815,1564.003,1645.930,1725.834,1796.119,1857.365,1903.129,1934.544,1947.196,1943.397,1922.595,1884.342,1832.940,1770.987,1703.894,1633.822,1564.025
|
2025-10-10 00:00:00
|
2026-03-14 00:00:00
|
1499.326,1442.447,1400.282,1372.734,1360.509,1367.624,1390.619,1431.066,1487.617,1555.376,1633.062,1714.711,1798.462,1879.529,1953.418,2017.664,2069.097,2103.539,2121.425,2120.529,2104.092,2070.618,2022.609,1964.755,1899.697,1828.783,1758.949,1694.447,1637.019,1592.951,1562.462,1548.716,1552.564,1574.543,1612.220,1666.565,1734.126,1810.737,1893.402,1980.014,2062.071,2139.740,2206.544,2262.221,2301.961,2323.856,2328.359,2315.583,2285.946,2241.778,2186.920,2121.814,2054.377,1983.763,1919.039,1861.478,1814.249,1781.895,1764.944,1767.514,1786.654,1823.118,1875.430,1941.742,2018.344,2102.742,2189.280,2275.065,2354.867,2426.635,2485.194,2528.821,2556.392,2563.739,2556.305,2530.357,2490.050,2437.150,2375.438,2307.426,2237.831,2173.387,2113.418,2066.004,2030.567,2012.535,2011.836,2027.555,2061.624,2113.266,2179.380,2255.389,2339.617,2427.567,2515.704,2598.947,2673.624,2737.111,2784.925,2816.498
|
2026-03-15 00:00:00
|
2026-06-22 00:00:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-11-16 00:00:00 to 2025-12-19 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-02-14 00:00:00 to 2026-02-16 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
|
<history>46.772,99.481,164.879,238.480,316.446,395.768,470.917,538.994,596.387,639.657,664.900,674.772,663.466,636.520,593.470,536.605,467.878,392.910,314.391,238.260,165.277,103.903,52.939,18.215,0.000,0.491,19.617,54.671,104.645,168.635,241.853,320.678,400.364,477.662,548.539,608.676,655.085,685.787,461.035,460.935,530.947,623.250,579.179,326.294,261.821,616.636,192.082,718.514,153.847,781.140,801.142,295.323,359.730,899.933,780.651,1308.204,1228.571,1365.758,1758.350,1838.820,1916.323,1787.794,1654.223,1513.372,1371.133,1226.811,1082.367,943.700,811.192,691.172,586.964,517.199,442.568,367.587,296.509,232.720,180.658,141.816,119.329,114.643,128.593,159.962,207.323,266.653,338.777,415.385,497.090,577.025,650.717,717.258,771.661,809.647,831.515,836.448,822.123,791.947,745.016,687.703,622.182,549.638,474.901,405.319,341.403,287.887,248.115,223.726,216.382,227.767,256.601,301.166,360.490,431.140,507.593,588.582,670.766,747.340,815.931,872.785,916.296,940.623,950.644,941.300,914.818,873.029,819.966,755.497,684.493,614.010,543.195,1607.356,1552.724,1447.065,1363.119,1305.731,1275.252,1270.957,1291.578,1335.811,1404.567,1482.815,1564.003,1645.930,1725.834,1796.119,1857.365,1903.129,1934.544,1947.196,1943.397,1922.595,1884.342,1832.940,1770.987,1703.894,1633.822,1564.025</history>
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-11-16 00:00:00 to 2025-12-19 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-02-14 00:00:00 to 2026-02-16 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template2/item0
|
GIFT synthesize
|
anomaly
|
D
|
0.000,4.764,9.816,347.463,352.129,357.037,361.771,366.596,371.127,42.951,47.887,52.604,57.297,61.968,66.791,71.599,76.038,81.062,85.932,90.727,95.615,100.096,104.990,109.651,114.286,119.451,124.063,128.492,133.504,471.437,476.085,480.917,485.670,490.408,495.209,166.946,171.702,176.499,181.160,186.039,190.568,195.340,200.360,205.188,209.772,214.651,219.168,224.056,228.809,233.527,238.120,243.004,247.939,252.558,257.528,262.077,599.774,604.646,609.484,614.296,618.950,290.881,295.626,373.924,449.234,522.210,592.337,659.526,724.044,785.339,844.299,900.619,953.884,1004.489,1052.221,1097.435,1139.537,1178.929,1215.641,1249.463,1280.841,1308.951,1667.499,1690.367,1710.698,1728.032,1742.387,1420.913,1429.788,1434.523,1439.274,1321.720,1205.636,1092.382,983.094,879.674,783.056,694.017,614.564,544.819,485.867,438.516,403.292,380.357,376.291,372.880,368.989,365.504,694.689,690.828,687.221,683.481,679.755,342.891,339.405,335.463,331.480,327.889,324.499,320.673,316.736,313.016,308.965,305.498,301.864,297.979,294.264,290.636,286.926,282.732,279.264,275.543,271.956,268.142,1054.630,1050.770,1004.334,969.036,965.243,628.574,624.802,620.824,617.255,613.470,609.659,605.982,602.326,598.516,594.572,591.178,587.126,583.558,579.887,575.827,572.362,568.633,565.061,561.007,557.280,553.368,883.174,879.269,875.447,871.738,867.990,531.048,527.455,523.452,520.074,516.256,512.575,508.700,505.089,501.330,497.654,493.900,489.903,486.350,482.539,478.994,475.180,471.176,467.514,463.978,460.078,456.299,785.726,788.107,790.504,792.651,795.103,464.020,466.832,469.204,471.532,473.698,475.781,478.678,480.745,483.048,485.719,487.994,490.197,492.419,494.846,497.420,499.634,502.034,504.181,506.811,509.166,511.388,846.980,849.244,851.539,853.890,856.093,525.719,527.938,530.306,532.616,534.933,537.263,539.701,541.796,544.408,546.698,548.983,551.436,553.930,555.965,558.282,561.000,563.144,565.579,567.966,570.270,572.529,908.088,910.462,912.743,915.258,917.487,586.674,589.088,591.462,593.769,596.190,598.451,601.254,603.313,605.490,607.719,610.291,612.619,615.153,617.365,619.625,622.252,624.485,626.756,629.219,631.268,633.794,969.375,971.546,974.121,976.547,978.748,647.925,650.389,652.639,655.057,657.363,659.779,661.993,664.430,666.850,668.971,671.535,673.813,676.341,678.596,680.872,683.375,685.492,688.155,690.590,686.979,683.721,1013.321,1009.990,1006.759,1003.496,1000.009,663.709,660.243,657.069,653.733,650.529,647.204,643.994,640.358,637.101,633.801,630.365,627.094,623.694,620.302,617.165,613.784,610.341,607.135,603.878,600.424,597.239,926.667,923.363,920.366,916.927,913.533,910.153,573.869,570.449
|
2025-10-10 00:00:00
|
2026-08-29 00:00:00
|
567.330,563.851,560.510,557.218,553.930,550.381,547.282,544.045,540.575,537.263,533.990,530.680,527.374,523.913,520.628,517.192,513.912,510.718,840.694,836.994,833.730,830.488,827.130,823.966,487.302,483.954,480.738,477.371,473.923,470.542,467.508,464.291,460.522,457.616,453.955,450.759,447.493,443.993,440.871,437.349,434.172,430.771,427.337,424.290,753.902,750.514,747.341,743.904,740.594,737.360,400.962,397.408,394.433,391.040,387.787,384.382,381.067,377.462,374.274,370.865
|
2026-08-30 00:00:00
|
2026-10-28 00:00:00
|
,
| 60
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-12-10 00:00:00 to 2026-01-21 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-02-19 00:00:00 to 2026-02-21 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
|
<history>0.000,4.764,9.816,347.463,352.129,357.037,361.771,366.596,371.127,42.951,47.887,52.604,57.297,61.968,66.791,71.599,76.038,81.062,85.932,90.727,95.615,100.096,104.990,109.651,114.286,119.451,124.063,128.492,133.504,471.437,476.085,480.917,485.670,490.408,495.209,166.946,171.702,176.499,181.160,186.039,190.568,195.340,200.360,205.188,209.772,214.651,219.168,224.056,228.809,233.527,238.120,243.004,247.939,252.558,257.528,262.077,599.774,604.646,609.484,614.296,618.950,290.881,295.626,373.924,449.234,522.210,592.337,659.526,724.044,785.339,844.299,900.619,953.884,1004.489,1052.221,1097.435,1139.537,1178.929,1215.641,1249.463,1280.841,1308.951,1667.499,1690.367,1710.698,1728.032,1742.387,1420.913,1429.788,1434.523,1439.274,1321.720,1205.636,1092.382,983.094,879.674,783.056,694.017,614.564,544.819,485.867,438.516,403.292,380.357,376.291,372.880,368.989,365.504,694.689,690.828,687.221,683.481,679.755,342.891,339.405,335.463,331.480,327.889,324.499,320.673,316.736,313.016,308.965,305.498,301.864,297.979,294.264,290.636,286.926,282.732,279.264,275.543,271.956,268.142,1054.630,1050.770,1004.334,969.036,965.243,628.574,624.802,620.824,617.255,613.470,609.659,605.982,602.326,598.516,594.572,591.178,587.126,583.558,579.887,575.827,572.362,568.633,565.061,561.007,557.280,553.368,883.174,879.269,875.447,871.738,867.990,531.048,527.455,523.452,520.074,516.256,512.575,508.700,505.089,501.330,497.654,493.900,489.903,486.350,482.539,478.994,475.180,471.176,467.514,463.978,460.078,456.299,785.726,788.107,790.504,792.651,795.103,464.020,466.832,469.204,471.532,473.698,475.781,478.678,480.745,483.048,485.719,487.994,490.197,492.419,494.846,497.420,499.634,502.034,504.181,506.811,509.166,511.388,846.980,849.244,851.539,853.890,856.093,525.719,527.938,530.306,532.616,534.933,537.263,539.701,541.796,544.408,546.698,548.983,551.436,553.930,555.965,558.282,561.000,563.144,565.579,567.966,570.270,572.529,908.088,910.462,912.743,915.258,917.487,586.674,589.088,591.462,593.769,596.190,598.451,601.254,603.313,605.490,607.719,610.291,612.619,615.153,617.365,619.625,622.252,624.485,626.756,629.219,631.268,633.794,969.375,971.546,974.121,976.547,978.748,647.925,650.389,652.639,655.057,657.363,659.779,661.993,664.430,666.850,668.971,671.535,673.813,676.341,678.596,680.872,683.375,685.492,688.155,690.590,686.979,683.721,1013.321,1009.990,1006.759,1003.496,1000.009,663.709,660.243,657.069,653.733,650.529,647.204,643.994,640.358,637.101,633.801,630.365,627.094,623.694,620.302,617.165,613.784,610.341,607.135,603.878,600.424,597.239,926.667,923.363,920.366,916.927,913.533,910.153,573.869,570.449</history>
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-12-10 00:00:00 to 2026-01-21 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-02-19 00:00:00 to 2026-02-21 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template3/item0
|
GIFT synthesize
|
anomaly
|
D
|
6944.088,6945.398,6946.665,6947.786,8104.850,8105.924,8107.217,8108.393,8109.475,6954.818,6955.899,6957.059,6958.090,6959.145,6960.220,6961.318,6962.292,6963.399,6964.440,6965.396,6966.335,6967.329,6968.318,6969.262,6970.308,6971.189,6972.053,6973.114,6973.924,6974.849,6975.773,6976.581,6977.520,6978.297,6979.155,7115.363,7251.616,7387.649,7523.967,7660.104,7796.286,7932.465,8068.527,8204.644,8340.745,8476.802,8613.061,8748.985,8749.740,8750.321,8751.081,9907.626,9784.653,9666.122,9552.150,9442.662,8181.917,8081.287,7985.313,7893.763,7806.638,7724.155,7646.014,7572.430,7503.298,7438.687,7378.489,7322.829,7271.657,7225.039,7182.850,7145.026,7111.906,7083.124,7058.910,7039.071,7023.883,7013.044,7006.724,7007.114,7007.577,7008.083,7008.482,7008.862,7009.282,7009.575,7010.011,7010.297,7010.790,7011.047,7011.458,7011.767,7012.230,7012.436,7012.727,7013.192,7013.432,7013.689,7014.055,8170.214,8170.431,8170.793,8171.009,8171.254,7015.784,7016.045,7016.268,7016.443,7016.732,7017.028,7017.190,7017.498,7017.564,7017.930,7018.171,7018.253,7018.526,7018.636,7018.957,7019.104,7019.214,7019.299,7019.539,7019.696,7019.871,7020.117,7020.280,7020.392,7020.433,7020.563,7020.780,7020.858,7021.009,7021.128,7021.275,7021.371,7021.483,7021.560,7021.609,7021.790,7021.814,7022.032,7022.001,7022.146,7022.319,7022.343,7022.258,8178.283,8178.395,8178.346,8178.436,8178.518,7022.851,7022.797,7022.851,7022.963,7022.964,7022.949,7023.117,7023.132,7023.231,7023.135,7023.292,7023.289,7023.236,7023.297,7023.385,7023.308,7023.450,7023.464,7023.226,7023.499,7023.440,7023.465,7023.417,7023.500,7023.439,7023.454,7023.408,7023.528,7023.477,7023.491,7023.542,7023.553,7023.573,7023.435,7023.534,7023.597,7023.518,7023.527,7023.456,7023.464,7023.568,7023.603,7023.510,8179.274,8178.953,8178.670,8178.340,8177.818,7021.554,7020.953,7020.200,7019.356,7057.555,7173.542,7367.166,7638.878,7988.147,8415.350,8920.421,9503.241,10163.869,10162.314,10160.683,10158.975,10153.406,10140.463,10119.845,10091.383,10055.736,10012.259,9961.350,9902.847,9836.689,9762.930,9681.718,9592.867,9496.529,9392.552,9280.977,9161.957,9035.183,8900.883,8759.024,8609.665,8452.725,8288.263,8116.139,7936.442,7749.195,7554.565,7351.952,8297.846,8080.500,8076.797,8072.976,6913.300,6909.339,6905.400,6901.371,6897.351,6893.040,6888.927,6884.625,6880.334,6875.902,6871.489,6866.930,6862.320,6857.828,6853.234,6848.402,6843.808,6838.846,6833.998,6829.094,6824.045,6818.965,6813.975,6808.726,6803.672,6798.381,6793.102,6787.740,6782.376,6777.010,6771.479,6765.916,6760.392,6754.702,6748.909,6743.177,6737.526,6731.711,6725.927,6719.876,6714.033,6708.109,6701.890,7851.818,7845.615,7839.361,7833.296,7827.020,6664.816,6658.614,6652.115,6645.800,6639.273,6632.773,6626.268,6619.755,6613.076,6606.540,6599.718,6593.194,6586.341,6579.577,6572.754,6565.986,6558.993,6552.096,6545.131,6538.131,6531.105,6524.071,6516.975,6509.935,6502.630,6495.548,6488.346,6481.078,6473.767
|
2025-10-10 00:00:00
|
2026-08-29 00:00:00
|
6466.536,6459.267,6451.852,6444.468,6437.123,6429.581,6422.198,6414.712,6407.187,6399.671,6392.087,6384.398,6376.877,6369.230,7517.373,7509.814,7502.162,7494.271,7486.602,6322.886,6315.160,6307.410,6299.605,6291.797,6283.850,6275.946,6268.076,6260.101,6252.187,6244.291,6236.252,6228.239,6220.270,6212.217,6204.159,6196.271,6188.186,6180.157,6171.929,6163.974,6155.803,6147.668,6139.524,6131.379,6123.260,6115.056,6106.917,6098.750,6090.457,6082.312,6074.150,6065.983,6057.657,6049.451,6041.201,6033.005,6024.679,6016.548,6008.155,6000.000
|
2026-08-30 00:00:00
|
2026-10-28 00:00:00
|
,
| 60
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-11-12 00:00:00 to 2025-12-27 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-04-30 00:00:00 to 2026-06-11 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
|
<history>6944.088,6945.398,6946.665,6947.786,8104.850,8105.924,8107.217,8108.393,8109.475,6954.818,6955.899,6957.059,6958.090,6959.145,6960.220,6961.318,6962.292,6963.399,6964.440,6965.396,6966.335,6967.329,6968.318,6969.262,6970.308,6971.189,6972.053,6973.114,6973.924,6974.849,6975.773,6976.581,6977.520,6978.297,6979.155,7115.363,7251.616,7387.649,7523.967,7660.104,7796.286,7932.465,8068.527,8204.644,8340.745,8476.802,8613.061,8748.985,8749.740,8750.321,8751.081,9907.626,9784.653,9666.122,9552.150,9442.662,8181.917,8081.287,7985.313,7893.763,7806.638,7724.155,7646.014,7572.430,7503.298,7438.687,7378.489,7322.829,7271.657,7225.039,7182.850,7145.026,7111.906,7083.124,7058.910,7039.071,7023.883,7013.044,7006.724,7007.114,7007.577,7008.083,7008.482,7008.862,7009.282,7009.575,7010.011,7010.297,7010.790,7011.047,7011.458,7011.767,7012.230,7012.436,7012.727,7013.192,7013.432,7013.689,7014.055,8170.214,8170.431,8170.793,8171.009,8171.254,7015.784,7016.045,7016.268,7016.443,7016.732,7017.028,7017.190,7017.498,7017.564,7017.930,7018.171,7018.253,7018.526,7018.636,7018.957,7019.104,7019.214,7019.299,7019.539,7019.696,7019.871,7020.117,7020.280,7020.392,7020.433,7020.563,7020.780,7020.858,7021.009,7021.128,7021.275,7021.371,7021.483,7021.560,7021.609,7021.790,7021.814,7022.032,7022.001,7022.146,7022.319,7022.343,7022.258,8178.283,8178.395,8178.346,8178.436,8178.518,7022.851,7022.797,7022.851,7022.963,7022.964,7022.949,7023.117,7023.132,7023.231,7023.135,7023.292,7023.289,7023.236,7023.297,7023.385,7023.308,7023.450,7023.464,7023.226,7023.499,7023.440,7023.465,7023.417,7023.500,7023.439,7023.454,7023.408,7023.528,7023.477,7023.491,7023.542,7023.553,7023.573,7023.435,7023.534,7023.597,7023.518,7023.527,7023.456,7023.464,7023.568,7023.603,7023.510,8179.274,8178.953,8178.670,8178.340,8177.818,7021.554,7020.953,7020.200,7019.356,7057.555,7173.542,7367.166,7638.878,7988.147,8415.350,8920.421,9503.241,10163.869,10162.314,10160.683,10158.975,10153.406,10140.463,10119.845,10091.383,10055.736,10012.259,9961.350,9902.847,9836.689,9762.930,9681.718,9592.867,9496.529,9392.552,9280.977,9161.957,9035.183,8900.883,8759.024,8609.665,8452.725,8288.263,8116.139,7936.442,7749.195,7554.565,7351.952,8297.846,8080.500,8076.797,8072.976,6913.300,6909.339,6905.400,6901.371,6897.351,6893.040,6888.927,6884.625,6880.334,6875.902,6871.489,6866.930,6862.320,6857.828,6853.234,6848.402,6843.808,6838.846,6833.998,6829.094,6824.045,6818.965,6813.975,6808.726,6803.672,6798.381,6793.102,6787.740,6782.376,6777.010,6771.479,6765.916,6760.392,6754.702,6748.909,6743.177,6737.526,6731.711,6725.927,6719.876,6714.033,6708.109,6701.890,7851.818,7845.615,7839.361,7833.296,7827.020,6664.816,6658.614,6652.115,6645.800,6639.273,6632.773,6626.268,6619.755,6613.076,6606.540,6599.718,6593.194,6586.341,6579.577,6572.754,6565.986,6558.993,6552.096,6545.131,6538.131,6531.105,6524.071,6516.975,6509.935,6502.630,6495.548,6488.346,6481.078,6473.767</history>
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-11-12 00:00:00 to 2025-12-27 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-04-30 00:00:00 to 2026-06-11 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template4/item0
|
GIFT synthesize
|
anomaly
|
D
|
0.230,0.000,0.366,0.137,0.345,0.323,0.349,0.397,75.318,181.330,286.902,393.023,498.804,604.807,710.371,816.593,922.629,1028.266,1134.330,1240.201,1346.289,1318.352,1212.853,1107.412,1001.988,896.562,791.123,685.764,580.448,475.020,369.519,264.109,158.908,53.371,7.201,192.690,378.194,563.654,749.032,934.683,1120.189,1120.616,1120.994,1121.805,1122.246,1122.839,1123.343,1123.825,1124.396,1124.953,1125.593,1126.141,1126.965,1127.563,1212.331,1318.889,1425.427,1531.673,1638.107,1744.449,1851.239,1957.383,2064.265,2170.487,2277.026,2383.539,2490.015,2443.596,2338.766,2234.146,2129.118,2024.222,1919.418,1814.306,1709.538,1604.724,1500.017,1395.195,1290.426,1185.601,1149.459,1150.381,1151.203,1152.305,1153.559,1154.349,1155.417,1156.427,1157.431,1158.530,1159.953,1160.764,1161.882,1162.907,1164.210,1165.179,1166.483,1167.639,1168.762,1169.983,1265.259,1372.004,1479.011,1586.056,1693.018,1799.948,1906.878,2013.873,2121.191,2228.114,2335.143,2442.156,2549.406,2484.580,2380.415,2276.219,2171.491,3893.355,3768.724,3602.856,3395.748,3147.936,2859.001,2754.653,2650.447,2546.262,2519.957,2521.695,2523.335,2524.637,2526.368,2528.084,2529.526,2531.086,2532.814,2534.452,2535.969,2537.572,2539.310,2541.022,2542.713,2544.226,2546.113,2547.879,2549.616,2551.217,2656.514,2763.921,2871.411,2979.260,3086.584,3194.158,3301.697,3409.185,3516.934,3624.641,3732.091,3839.859,3947.424,3864.202,3760.547,3656.698,3552.971,3449.260,3345.535,3241.782,3137.917,3034.353,2930.501,2826.885,2723.310,2619.678,2603.662,2605.481,2607.628,2609.750,2611.931,2613.989,2616.218,2618.322,2620.635,2622.910,2624.793,2627.104,2629.389,2631.729,2633.971,2636.152,2638.343,2640.677,2643.075,2652.404,2760.454,2868.464,2976.703,3084.846,3192.858,3300.879,3409.256,3517.388,3625.555,3733.704,3841.975,3950.046,4058.186,3956.625,3853.424,3750.156,3647.124,3543.920,3440.530,3337.415,3234.457,3131.086,3027.960,2924.745,2821.717,2718.571,2712.559,2715.207,2717.792,2720.609,2723.320,2726.017,2728.467,2731.513,2734.244,2736.813,2739.860,2742.710,2745.251,2748.006,2750.722,2753.683,2756.306,2759.423,2762.241,2781.737,2890.359,2998.848,3107.643,3216.330,3324.882,3433.648,3542.320,3651.176,3759.657,3868.441,3977.294,4085.952,4177.375,4074.539,3972.041,3869.363,3766.646,3664.062,3561.446,3458.886,3356.036,3253.544,3151.013,3048.333,2945.868,2844.141,2847.391,2850.567,2853.842,2857.216,2860.219,2863.664,2866.972,2870.257,2873.426,2876.776,2880.180,2883.342,2886.866,2890.286,2893.474,2896.923,2900.406,2903.853,2907.051,2936.713,3045.735,3155.065,3264.314,3373.561,3482.546,3591.838,3701.130,3810.410,3919.782,4029.020,4138.349,4247.776,4320.591,4218.416,4116.484,4014.413,3912.386,3810.109,3707.980,3605.962,3503.878,3401.972,3299.718,3197.813,3095.828,3004.185,3008.057,3011.803,3015.598,3019.281,3023.206,3027.078,3030.654,3034.731,3038.405,3042.310,3046.254,3050.198,3054.002,3057.996,3062.121,3066.128,3069.865,3073.765,3077.848,3117.411,3227.221,3336.854,3446.584,3556.302,3666.170,3776.031,3886.008,3995.548,4105.503,4215.539,4325.252,4434.998,4489.593,4388.027,4286.514,4185.106,4083.398,3981.864,3880.454,3778.941,3677.486,3575.773,3474.554,3373.035,3271.549,3189.896,3194.259,3198.714,3203.113,3207.360,3211.876,3215.931
|
2025-10-10 00:00:00
|
2026-10-06 00:00:00
|
3220.355,3224.736,3229.461,3233.663,3238.274,3242.641,3247.277,3251.589,3255.986,3260.670,3265.206,3269.632,3274.239,3323.827,3434.091,3544.387,3654.920,3765.089,3875.486,3985.651,4096.160,4206.626,4317.014,4427.350,4537.837,4648.154,4684.358,4583.580,4482.299,4381.427,4280.275,4179.417,4078.499,3977.466,3876.758,3775.841,3674.727,3574.016,3473.063,3401.490,3406.509,3411.250,3416.221,3421.089,3426.218,3430.891,3435.858,3440.885,3445.942,3450.796,3455.865,3460.938,3465.828,3470.885,3476.032,3481.095,3486.276,3491.220,3496.300,3556.003,3666.900,3777.573,3888.849,3999.521,4110.456,4221.464,4332.372,4443.395,4554.489,4665.128,4776.364,4887.317,4904.894,4804.600,4703.819,4603.548,4503.254,4402.520,4302.349,4202.088,4101.566,4001.273,3900.803,3800.515,3700.219,3638.668,3644.185,3649.805,3655.087,3660.433,3666.116,3671.659,3677.109,3682.577,3688.059,3693.933,3699.169,3704.847,3710.440,3716.084,3721.753,3727.300,3732.769,3738.678,3744.340,3814.091,3925.546,4036.929,4148.284,4259.712,4371.240,4482.772,4594.182,4705.732,4817.280,4928.654,5040.505,5151.785,5151.046,5051.148,4951.327,4851.511,4751.451,4651.817,4552.029,4452.035,4352.404,4252.385,4152.537,4052.894,3953.346,3901.714,3907.798,3913.564,3919.618,3925.769,3931.788,3937.960,3943.920,3950.110,3956.196,3962.364,3968.290,3974.432,3980.673,3986.912,3993.193,3999.317,4005.418,4011.710
|
2026-10-07 00:00:00
|
2027-03-05 00:00:00
|
,
| 150
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the sales of this store over the next 150 days, from 2026-10-07 00:00:00 to 2027-03-05 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-10-06 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-11-12 00:00:00 to 2025-11-19 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-02-02 00:00:00 to 2026-02-03 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
|
<history>0.230,0.000,0.366,0.137,0.345,0.323,0.349,0.397,75.318,181.330,286.902,393.023,498.804,604.807,710.371,816.593,922.629,1028.266,1134.330,1240.201,1346.289,1318.352,1212.853,1107.412,1001.988,896.562,791.123,685.764,580.448,475.020,369.519,264.109,158.908,53.371,7.201,192.690,378.194,563.654,749.032,934.683,1120.189,1120.616,1120.994,1121.805,1122.246,1122.839,1123.343,1123.825,1124.396,1124.953,1125.593,1126.141,1126.965,1127.563,1212.331,1318.889,1425.427,1531.673,1638.107,1744.449,1851.239,1957.383,2064.265,2170.487,2277.026,2383.539,2490.015,2443.596,2338.766,2234.146,2129.118,2024.222,1919.418,1814.306,1709.538,1604.724,1500.017,1395.195,1290.426,1185.601,1149.459,1150.381,1151.203,1152.305,1153.559,1154.349,1155.417,1156.427,1157.431,1158.530,1159.953,1160.764,1161.882,1162.907,1164.210,1165.179,1166.483,1167.639,1168.762,1169.983,1265.259,1372.004,1479.011,1586.056,1693.018,1799.948,1906.878,2013.873,2121.191,2228.114,2335.143,2442.156,2549.406,2484.580,2380.415,2276.219,2171.491,3893.355,3768.724,3602.856,3395.748,3147.936,2859.001,2754.653,2650.447,2546.262,2519.957,2521.695,2523.335,2524.637,2526.368,2528.084,2529.526,2531.086,2532.814,2534.452,2535.969,2537.572,2539.310,2541.022,2542.713,2544.226,2546.113,2547.879,2549.616,2551.217,2656.514,2763.921,2871.411,2979.260,3086.584,3194.158,3301.697,3409.185,3516.934,3624.641,3732.091,3839.859,3947.424,3864.202,3760.547,3656.698,3552.971,3449.260,3345.535,3241.782,3137.917,3034.353,2930.501,2826.885,2723.310,2619.678,2603.662,2605.481,2607.628,2609.750,2611.931,2613.989,2616.218,2618.322,2620.635,2622.910,2624.793,2627.104,2629.389,2631.729,2633.971,2636.152,2638.343,2640.677,2643.075,2652.404,2760.454,2868.464,2976.703,3084.846,3192.858,3300.879,3409.256,3517.388,3625.555,3733.704,3841.975,3950.046,4058.186,3956.625,3853.424,3750.156,3647.124,3543.920,3440.530,3337.415,3234.457,3131.086,3027.960,2924.745,2821.717,2718.571,2712.559,2715.207,2717.792,2720.609,2723.320,2726.017,2728.467,2731.513,2734.244,2736.813,2739.860,2742.710,2745.251,2748.006,2750.722,2753.683,2756.306,2759.423,2762.241,2781.737,2890.359,2998.848,3107.643,3216.330,3324.882,3433.648,3542.320,3651.176,3759.657,3868.441,3977.294,4085.952,4177.375,4074.539,3972.041,3869.363,3766.646,3664.062,3561.446,3458.886,3356.036,3253.544,3151.013,3048.333,2945.868,2844.141,2847.391,2850.567,2853.842,2857.216,2860.219,2863.664,2866.972,2870.257,2873.426,2876.776,2880.180,2883.342,2886.866,2890.286,2893.474,2896.923,2900.406,2903.853,2907.051,2936.713,3045.735,3155.065,3264.314,3373.561,3482.546,3591.838,3701.130,3810.410,3919.782,4029.020,4138.349,4247.776,4320.591,4218.416,4116.484,4014.413,3912.386,3810.109,3707.980,3605.962,3503.878,3401.972,3299.718,3197.813,3095.828,3004.185,3008.057,3011.803,3015.598,3019.281,3023.206,3027.078,3030.654,3034.731,3038.405,3042.310,3046.254,3050.198,3054.002,3057.996,3062.121,3066.128,3069.865,3073.765,3077.848,3117.411,3227.221,3336.854,3446.584,3556.302,3666.170,3776.031,3886.008,3995.548,4105.503,4215.539,4325.252,4434.998,4489.593,4388.027,4286.514,4185.106,4083.398,3981.864,3880.454,3778.941,3677.486,3575.773,3474.554,3373.035,3271.549,3189.896,3194.259,3198.714,3203.113,3207.360,3211.876,3215.931</history>
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-10-06 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-11-12 00:00:00 to 2025-11-19 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-02-02 00:00:00 to 2026-02-03 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
Predict the sales of this store over the next 150 days, from 2026-10-07 00:00:00 to 2027-03-05 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template0/item0
|
GIFT synthesize
|
anomaly
|
D
|
45.104,79.022,108.380,130.293,349.321,558.734,758.739,950.305,1134.104,1311.993,1487.250,1661.686,1632.464,1607.898,1590.064,1344.266,1112.177,899.515,709.815,546.336,410.910,304.957,228.124,180.906,161.755,186.750,204.405,211.847,210.322,199.754,181.145,155.469,125.881,94.922,64.674,37.938,17.032,3.750,0.000,5.167,19.710,42.721,72.445,107.101,143.529,179.847,213.078,240.783,261.322,272.925,275.457,268.052,252.399,229.542,201.278,170.548,139.593,111.322,87.949,71.523,63.278,64.584,75.658,94.827,121.851,154.264,190.013,226.625,260.826,290.835,314.003,329.260,335.220,427.572,148.605,387.783,219.602,548.669,123.435,460.280,241.474,464.064,679.559,500.189,710.574,869.328,985.116,1010.289,1556.433,1466.911,2040.045,2242.954,2268.545,2129.057,1981.546,1827.236,1666.784,1502.243,1336.196,1171.494,1012.456,861.111,722.210,597.396,490.346,402.934,335.914,289.969,265.354,260.163,273.003,308.037,343.290,375.824,404.092,425.240,438.063,441.988,436.512,422.706,401.084,374.322,344.268,313.215,284.356,259.517,241.076,231.206,229.303,237.256,253.609,277.697,307.739,341.404,376.012,409.731,439.519,463.372,479.169,486.462,485.026,473.855,455.588,430.521,401.333,370.526,340.438,313.735,292.573,278.284,272.846,276.658,289.070,309.891,336.781,368.826
|
2025-10-10 00:00:00
|
2026-03-14 00:00:00
|
402.873,436.584,467.769,493.818,512.793,523.240,524.807,517.773,501.788,479.120,451.661,420.819,390.106,361.369,337.711,320.128,311.013,310.448,318.996,336.027,360.150,390.035,422.790,456.281,488.259,516.004,537.864,551.647,556.554,552.514,539.779,519.717,493.478,463.748,432.535,402.473,375.970,355.366,342.552,337.904,342.326,355.552,376.539,403.847,435.209,468.396,500.887,530.050,553.980,570.941,578.880,578.606,569.246,551.312,527.356,498.452,466.873,436.022,407.569,384.061,367.219,358.581,358.693,368.351,385.453,409.908,439.908,471.934,504.750,535.440,561.471,581.078,592.400,595.254,588.953,573.926,552.215,524.217,493.266,461.362,431.087,404.651,384.718,371.819,368.214,373.477,387.328,408.855,435.995,467.416,500.078,531.305,559.355,581.506,596.076,601.901,599.020,587.058,567.843,541.258
|
2026-03-15 00:00:00
|
2026-06-22 00:00:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
|
<history>45.104,79.022,108.380,130.293,349.321,558.734,758.739,950.305,1134.104,1311.993,1487.250,1661.686,1632.464,1607.898,1590.064,1344.266,1112.177,899.515,709.815,546.336,410.910,304.957,228.124,180.906,161.755,186.750,204.405,211.847,210.322,199.754,181.145,155.469,125.881,94.922,64.674,37.938,17.032,3.750,0.000,5.167,19.710,42.721,72.445,107.101,143.529,179.847,213.078,240.783,261.322,272.925,275.457,268.052,252.399,229.542,201.278,170.548,139.593,111.322,87.949,71.523,63.278,64.584,75.658,94.827,121.851,154.264,190.013,226.625,260.826,290.835,314.003,329.260,335.220,427.572,148.605,387.783,219.602,548.669,123.435,460.280,241.474,464.064,679.559,500.189,710.574,869.328,985.116,1010.289,1556.433,1466.911,2040.045,2242.954,2268.545,2129.057,1981.546,1827.236,1666.784,1502.243,1336.196,1171.494,1012.456,861.111,722.210,597.396,490.346,402.934,335.914,289.969,265.354,260.163,273.003,308.037,343.290,375.824,404.092,425.240,438.063,441.988,436.512,422.706,401.084,374.322,344.268,313.215,284.356,259.517,241.076,231.206,229.303,237.256,253.609,277.697,307.739,341.404,376.012,409.731,439.519,463.372,479.169,486.462,485.026,473.855,455.588,430.521,401.333,370.526,340.438,313.735,292.573,278.284,272.846,276.658,289.070,309.891,336.781,368.826</history>
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template1/item0
|
GIFT synthesize
|
anomaly
|
D
|
46.772,99.481,164.879,238.480,316.446,395.768,470.917,538.994,596.387,639.657,664.900,674.772,663.466,636.520,593.470,536.605,467.878,392.910,314.391,238.260,165.277,103.903,52.939,18.215,0.000,0.491,19.617,54.671,104.645,168.635,241.853,320.678,400.364,477.662,548.539,608.676,655.085,685.787,461.035,460.935,530.947,623.250,579.179,326.294,261.821,616.636,192.082,718.514,153.847,781.140,801.142,295.323,359.730,899.933,780.651,1308.204,1228.571,1365.758,1758.350,1838.820,1916.323,1787.794,1654.223,1513.372,1371.133,1226.811,1082.367,943.700,811.192,691.172,586.964,517.199,442.568,367.587,296.509,232.720,180.658,141.816,119.329,114.643,128.593,159.962,207.323,266.653,338.777,415.385,497.090,577.025,650.717,717.258,771.661,809.647,831.515,836.448,822.123,791.947,745.016,687.703,622.182,549.638,474.901,405.319,341.403,287.887,248.115,223.726,216.382,227.767,256.601,301.166,360.490,431.140,507.593,588.582,670.766,747.340,815.931,872.785,916.296,940.623,950.644,941.300,914.818,873.029,819.966,755.497,684.493,614.010,543.195,1607.356,1552.724,1447.065,1363.119,1305.731,1275.252,1270.957,1291.578,1335.811,1404.567,1482.815,1564.003,1645.930,1725.834,1796.119,1857.365,1903.129,1934.544,1947.196,1943.397,1922.595,1884.342,1832.940,1770.987,1703.894,1633.822,1564.025
|
2025-10-10 00:00:00
|
2026-03-14 00:00:00
|
1499.326,1442.447,1400.282,1372.734,1360.509,1367.624,1390.619,1431.066,1487.617,1555.376,1633.062,1714.711,1798.462,1879.529,1953.418,2017.664,2069.097,2103.539,2121.425,2120.529,2104.092,2070.618,2022.609,1964.755,1899.697,1828.783,1758.949,1694.447,1637.019,1592.951,1562.462,1548.716,1552.564,1574.543,1612.220,1666.565,1734.126,1810.737,1893.402,1980.014,2062.071,2139.740,2206.544,2262.221,2301.961,2323.856,2328.359,2315.583,2285.946,2241.778,2186.920,2121.814,2054.377,1983.763,1919.039,1861.478,1814.249,1781.895,1764.944,1767.514,1786.654,1823.118,1875.430,1941.742,2018.344,2102.742,2189.280,2275.065,2354.867,2426.635,2485.194,2528.821,2556.392,2563.739,2556.305,2530.357,2490.050,2437.150,2375.438,2307.426,2237.831,2173.387,2113.418,2066.004,2030.567,2012.535,2011.836,2027.555,2061.624,2113.266,2179.380,2255.389,2339.617,2427.567,2515.704,2598.947,2673.624,2737.111,2784.925,2816.498
|
2026-03-15 00:00:00
|
2026-06-22 00:00:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
|
<history>46.772,99.481,164.879,238.480,316.446,395.768,470.917,538.994,596.387,639.657,664.900,674.772,663.466,636.520,593.470,536.605,467.878,392.910,314.391,238.260,165.277,103.903,52.939,18.215,0.000,0.491,19.617,54.671,104.645,168.635,241.853,320.678,400.364,477.662,548.539,608.676,655.085,685.787,461.035,460.935,530.947,623.250,579.179,326.294,261.821,616.636,192.082,718.514,153.847,781.140,801.142,295.323,359.730,899.933,780.651,1308.204,1228.571,1365.758,1758.350,1838.820,1916.323,1787.794,1654.223,1513.372,1371.133,1226.811,1082.367,943.700,811.192,691.172,586.964,517.199,442.568,367.587,296.509,232.720,180.658,141.816,119.329,114.643,128.593,159.962,207.323,266.653,338.777,415.385,497.090,577.025,650.717,717.258,771.661,809.647,831.515,836.448,822.123,791.947,745.016,687.703,622.182,549.638,474.901,405.319,341.403,287.887,248.115,223.726,216.382,227.767,256.601,301.166,360.490,431.140,507.593,588.582,670.766,747.340,815.931,872.785,916.296,940.623,950.644,941.300,914.818,873.029,819.966,755.497,684.493,614.010,543.195,1607.356,1552.724,1447.065,1363.119,1305.731,1275.252,1270.957,1291.578,1335.811,1404.567,1482.815,1564.003,1645.930,1725.834,1796.119,1857.365,1903.129,1934.544,1947.196,1943.397,1922.595,1884.342,1832.940,1770.987,1703.894,1633.822,1564.025</history>
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template2/item0
|
GIFT synthesize
|
anomaly
|
D
|
0.000,4.764,9.816,347.463,352.129,357.037,361.771,366.596,371.127,42.951,47.887,52.604,57.297,61.968,66.791,71.599,76.038,81.062,85.932,90.727,95.615,100.096,104.990,109.651,114.286,119.451,124.063,128.492,133.504,471.437,476.085,480.917,485.670,490.408,495.209,166.946,171.702,176.499,181.160,186.039,190.568,195.340,200.360,205.188,209.772,214.651,219.168,224.056,228.809,233.527,238.120,243.004,247.939,252.558,257.528,262.077,599.774,604.646,609.484,614.296,618.950,290.881,295.626,373.924,449.234,522.210,592.337,659.526,724.044,785.339,844.299,900.619,953.884,1004.489,1052.221,1097.435,1139.537,1178.929,1215.641,1249.463,1280.841,1308.951,1667.499,1690.367,1710.698,1728.032,1742.387,1420.913,1429.788,1434.523,1439.274,1321.720,1205.636,1092.382,983.094,879.674,783.056,694.017,614.564,544.819,485.867,438.516,403.292,380.357,376.291,372.880,368.989,365.504,694.689,690.828,687.221,683.481,679.755,342.891,339.405,335.463,331.480,327.889,324.499,320.673,316.736,313.016,308.965,305.498,301.864,297.979,294.264,290.636,286.926,282.732,279.264,275.543,271.956,268.142,1054.630,1050.770,1004.334,969.036,965.243,628.574,624.802,620.824,617.255,613.470,609.659,605.982,602.326,598.516,594.572,591.178,587.126,583.558,579.887,575.827,572.362,568.633,565.061,561.007,557.280,553.368,883.174,879.269,875.447,871.738,867.990,531.048,527.455,523.452,520.074,516.256,512.575,508.700,505.089,501.330,497.654,493.900,489.903,486.350,482.539,478.994,475.180,471.176,467.514,463.978,460.078,456.299,785.726,788.107,790.504,792.651,795.103,464.020,466.832,469.204,471.532,473.698,475.781,478.678,480.745,483.048,485.719,487.994,490.197,492.419,494.846,497.420,499.634,502.034,504.181,506.811,509.166,511.388,846.980,849.244,851.539,853.890,856.093,525.719,527.938,530.306,532.616,534.933,537.263,539.701,541.796,544.408,546.698,548.983,551.436,553.930,555.965,558.282,561.000,563.144,565.579,567.966,570.270,572.529,908.088,910.462,912.743,915.258,917.487,586.674,589.088,591.462,593.769,596.190,598.451,601.254,603.313,605.490,607.719,610.291,612.619,615.153,617.365,619.625,622.252,624.485,626.756,629.219,631.268,633.794,969.375,971.546,974.121,976.547,978.748,647.925,650.389,652.639,655.057,657.363,659.779,661.993,664.430,666.850,668.971,671.535,673.813,676.341,678.596,680.872,683.375,685.492,688.155,690.590,686.979,683.721,1013.321,1009.990,1006.759,1003.496,1000.009,663.709,660.243,657.069,653.733,650.529,647.204,643.994,640.358,637.101,633.801,630.365,627.094,623.694,620.302,617.165,613.784,610.341,607.135,603.878,600.424,597.239,926.667,923.363,920.366,916.927,913.533,910.153,573.869,570.449
|
2025-10-10 00:00:00
|
2026-08-29 00:00:00
|
567.330,563.851,560.510,557.218,553.930,550.381,547.282,544.045,540.575,537.263,533.990,530.680,527.374,523.913,520.628,517.192,513.912,510.718,840.694,836.994,833.730,830.488,827.130,823.966,487.302,483.954,480.738,477.371,473.923,470.542,467.508,464.291,460.522,457.616,453.955,450.759,447.493,443.993,440.871,437.349,434.172,430.771,427.337,424.290,753.902,750.514,747.341,743.904,740.594,737.360,400.962,397.408,394.433,391.040,387.787,384.382,381.067,377.462,374.274,370.865
|
2026-08-30 00:00:00
|
2026-10-28 00:00:00
|
,
| 60
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
|
<history>0.000,4.764,9.816,347.463,352.129,357.037,361.771,366.596,371.127,42.951,47.887,52.604,57.297,61.968,66.791,71.599,76.038,81.062,85.932,90.727,95.615,100.096,104.990,109.651,114.286,119.451,124.063,128.492,133.504,471.437,476.085,480.917,485.670,490.408,495.209,166.946,171.702,176.499,181.160,186.039,190.568,195.340,200.360,205.188,209.772,214.651,219.168,224.056,228.809,233.527,238.120,243.004,247.939,252.558,257.528,262.077,599.774,604.646,609.484,614.296,618.950,290.881,295.626,373.924,449.234,522.210,592.337,659.526,724.044,785.339,844.299,900.619,953.884,1004.489,1052.221,1097.435,1139.537,1178.929,1215.641,1249.463,1280.841,1308.951,1667.499,1690.367,1710.698,1728.032,1742.387,1420.913,1429.788,1434.523,1439.274,1321.720,1205.636,1092.382,983.094,879.674,783.056,694.017,614.564,544.819,485.867,438.516,403.292,380.357,376.291,372.880,368.989,365.504,694.689,690.828,687.221,683.481,679.755,342.891,339.405,335.463,331.480,327.889,324.499,320.673,316.736,313.016,308.965,305.498,301.864,297.979,294.264,290.636,286.926,282.732,279.264,275.543,271.956,268.142,1054.630,1050.770,1004.334,969.036,965.243,628.574,624.802,620.824,617.255,613.470,609.659,605.982,602.326,598.516,594.572,591.178,587.126,583.558,579.887,575.827,572.362,568.633,565.061,561.007,557.280,553.368,883.174,879.269,875.447,871.738,867.990,531.048,527.455,523.452,520.074,516.256,512.575,508.700,505.089,501.330,497.654,493.900,489.903,486.350,482.539,478.994,475.180,471.176,467.514,463.978,460.078,456.299,785.726,788.107,790.504,792.651,795.103,464.020,466.832,469.204,471.532,473.698,475.781,478.678,480.745,483.048,485.719,487.994,490.197,492.419,494.846,497.420,499.634,502.034,504.181,506.811,509.166,511.388,846.980,849.244,851.539,853.890,856.093,525.719,527.938,530.306,532.616,534.933,537.263,539.701,541.796,544.408,546.698,548.983,551.436,553.930,555.965,558.282,561.000,563.144,565.579,567.966,570.270,572.529,908.088,910.462,912.743,915.258,917.487,586.674,589.088,591.462,593.769,596.190,598.451,601.254,603.313,605.490,607.719,610.291,612.619,615.153,617.365,619.625,622.252,624.485,626.756,629.219,631.268,633.794,969.375,971.546,974.121,976.547,978.748,647.925,650.389,652.639,655.057,657.363,659.779,661.993,664.430,666.850,668.971,671.535,673.813,676.341,678.596,680.872,683.375,685.492,688.155,690.590,686.979,683.721,1013.321,1009.990,1006.759,1003.496,1000.009,663.709,660.243,657.069,653.733,650.529,647.204,643.994,640.358,637.101,633.801,630.365,627.094,623.694,620.302,617.165,613.784,610.341,607.135,603.878,600.424,597.239,926.667,923.363,920.366,916.927,913.533,910.153,573.869,570.449</history>
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template3/item0
|
GIFT synthesize
|
anomaly
|
D
|
6944.088,6945.398,6946.665,6947.786,8104.850,8105.924,8107.217,8108.393,8109.475,6954.818,6955.899,6957.059,6958.090,6959.145,6960.220,6961.318,6962.292,6963.399,6964.440,6965.396,6966.335,6967.329,6968.318,6969.262,6970.308,6971.189,6972.053,6973.114,6973.924,6974.849,6975.773,6976.581,6977.520,6978.297,6979.155,7115.363,7251.616,7387.649,7523.967,7660.104,7796.286,7932.465,8068.527,8204.644,8340.745,8476.802,8613.061,8748.985,8749.740,8750.321,8751.081,9907.626,9784.653,9666.122,9552.150,9442.662,8181.917,8081.287,7985.313,7893.763,7806.638,7724.155,7646.014,7572.430,7503.298,7438.687,7378.489,7322.829,7271.657,7225.039,7182.850,7145.026,7111.906,7083.124,7058.910,7039.071,7023.883,7013.044,7006.724,7007.114,7007.577,7008.083,7008.482,7008.862,7009.282,7009.575,7010.011,7010.297,7010.790,7011.047,7011.458,7011.767,7012.230,7012.436,7012.727,7013.192,7013.432,7013.689,7014.055,8170.214,8170.431,8170.793,8171.009,8171.254,7015.784,7016.045,7016.268,7016.443,7016.732,7017.028,7017.190,7017.498,7017.564,7017.930,7018.171,7018.253,7018.526,7018.636,7018.957,7019.104,7019.214,7019.299,7019.539,7019.696,7019.871,7020.117,7020.280,7020.392,7020.433,7020.563,7020.780,7020.858,7021.009,7021.128,7021.275,7021.371,7021.483,7021.560,7021.609,7021.790,7021.814,7022.032,7022.001,7022.146,7022.319,7022.343,7022.258,8178.283,8178.395,8178.346,8178.436,8178.518,7022.851,7022.797,7022.851,7022.963,7022.964,7022.949,7023.117,7023.132,7023.231,7023.135,7023.292,7023.289,7023.236,7023.297,7023.385,7023.308,7023.450,7023.464,7023.226,7023.499,7023.440,7023.465,7023.417,7023.500,7023.439,7023.454,7023.408,7023.528,7023.477,7023.491,7023.542,7023.553,7023.573,7023.435,7023.534,7023.597,7023.518,7023.527,7023.456,7023.464,7023.568,7023.603,7023.510,8179.274,8178.953,8178.670,8178.340,8177.818,7021.554,7020.953,7020.200,7019.356,7057.555,7173.542,7367.166,7638.878,7988.147,8415.350,8920.421,9503.241,10163.869,10162.314,10160.683,10158.975,10153.406,10140.463,10119.845,10091.383,10055.736,10012.259,9961.350,9902.847,9836.689,9762.930,9681.718,9592.867,9496.529,9392.552,9280.977,9161.957,9035.183,8900.883,8759.024,8609.665,8452.725,8288.263,8116.139,7936.442,7749.195,7554.565,7351.952,8297.846,8080.500,8076.797,8072.976,6913.300,6909.339,6905.400,6901.371,6897.351,6893.040,6888.927,6884.625,6880.334,6875.902,6871.489,6866.930,6862.320,6857.828,6853.234,6848.402,6843.808,6838.846,6833.998,6829.094,6824.045,6818.965,6813.975,6808.726,6803.672,6798.381,6793.102,6787.740,6782.376,6777.010,6771.479,6765.916,6760.392,6754.702,6748.909,6743.177,6737.526,6731.711,6725.927,6719.876,6714.033,6708.109,6701.890,7851.818,7845.615,7839.361,7833.296,7827.020,6664.816,6658.614,6652.115,6645.800,6639.273,6632.773,6626.268,6619.755,6613.076,6606.540,6599.718,6593.194,6586.341,6579.577,6572.754,6565.986,6558.993,6552.096,6545.131,6538.131,6531.105,6524.071,6516.975,6509.935,6502.630,6495.548,6488.346,6481.078,6473.767
|
2025-10-10 00:00:00
|
2026-08-29 00:00:00
|
6466.536,6459.267,6451.852,6444.468,6437.123,6429.581,6422.198,6414.712,6407.187,6399.671,6392.087,6384.398,6376.877,6369.230,7517.373,7509.814,7502.162,7494.271,7486.602,6322.886,6315.160,6307.410,6299.605,6291.797,6283.850,6275.946,6268.076,6260.101,6252.187,6244.291,6236.252,6228.239,6220.270,6212.217,6204.159,6196.271,6188.186,6180.157,6171.929,6163.974,6155.803,6147.668,6139.524,6131.379,6123.260,6115.056,6106.917,6098.750,6090.457,6082.312,6074.150,6065.983,6057.657,6049.451,6041.201,6033.005,6024.679,6016.548,6008.155,6000.000
|
2026-08-30 00:00:00
|
2026-10-28 00:00:00
|
,
| 60
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
|
<history>6944.088,6945.398,6946.665,6947.786,8104.850,8105.924,8107.217,8108.393,8109.475,6954.818,6955.899,6957.059,6958.090,6959.145,6960.220,6961.318,6962.292,6963.399,6964.440,6965.396,6966.335,6967.329,6968.318,6969.262,6970.308,6971.189,6972.053,6973.114,6973.924,6974.849,6975.773,6976.581,6977.520,6978.297,6979.155,7115.363,7251.616,7387.649,7523.967,7660.104,7796.286,7932.465,8068.527,8204.644,8340.745,8476.802,8613.061,8748.985,8749.740,8750.321,8751.081,9907.626,9784.653,9666.122,9552.150,9442.662,8181.917,8081.287,7985.313,7893.763,7806.638,7724.155,7646.014,7572.430,7503.298,7438.687,7378.489,7322.829,7271.657,7225.039,7182.850,7145.026,7111.906,7083.124,7058.910,7039.071,7023.883,7013.044,7006.724,7007.114,7007.577,7008.083,7008.482,7008.862,7009.282,7009.575,7010.011,7010.297,7010.790,7011.047,7011.458,7011.767,7012.230,7012.436,7012.727,7013.192,7013.432,7013.689,7014.055,8170.214,8170.431,8170.793,8171.009,8171.254,7015.784,7016.045,7016.268,7016.443,7016.732,7017.028,7017.190,7017.498,7017.564,7017.930,7018.171,7018.253,7018.526,7018.636,7018.957,7019.104,7019.214,7019.299,7019.539,7019.696,7019.871,7020.117,7020.280,7020.392,7020.433,7020.563,7020.780,7020.858,7021.009,7021.128,7021.275,7021.371,7021.483,7021.560,7021.609,7021.790,7021.814,7022.032,7022.001,7022.146,7022.319,7022.343,7022.258,8178.283,8178.395,8178.346,8178.436,8178.518,7022.851,7022.797,7022.851,7022.963,7022.964,7022.949,7023.117,7023.132,7023.231,7023.135,7023.292,7023.289,7023.236,7023.297,7023.385,7023.308,7023.450,7023.464,7023.226,7023.499,7023.440,7023.465,7023.417,7023.500,7023.439,7023.454,7023.408,7023.528,7023.477,7023.491,7023.542,7023.553,7023.573,7023.435,7023.534,7023.597,7023.518,7023.527,7023.456,7023.464,7023.568,7023.603,7023.510,8179.274,8178.953,8178.670,8178.340,8177.818,7021.554,7020.953,7020.200,7019.356,7057.555,7173.542,7367.166,7638.878,7988.147,8415.350,8920.421,9503.241,10163.869,10162.314,10160.683,10158.975,10153.406,10140.463,10119.845,10091.383,10055.736,10012.259,9961.350,9902.847,9836.689,9762.930,9681.718,9592.867,9496.529,9392.552,9280.977,9161.957,9035.183,8900.883,8759.024,8609.665,8452.725,8288.263,8116.139,7936.442,7749.195,7554.565,7351.952,8297.846,8080.500,8076.797,8072.976,6913.300,6909.339,6905.400,6901.371,6897.351,6893.040,6888.927,6884.625,6880.334,6875.902,6871.489,6866.930,6862.320,6857.828,6853.234,6848.402,6843.808,6838.846,6833.998,6829.094,6824.045,6818.965,6813.975,6808.726,6803.672,6798.381,6793.102,6787.740,6782.376,6777.010,6771.479,6765.916,6760.392,6754.702,6748.909,6743.177,6737.526,6731.711,6725.927,6719.876,6714.033,6708.109,6701.890,7851.818,7845.615,7839.361,7833.296,7827.020,6664.816,6658.614,6652.115,6645.800,6639.273,6632.773,6626.268,6619.755,6613.076,6606.540,6599.718,6593.194,6586.341,6579.577,6572.754,6565.986,6558.993,6552.096,6545.131,6538.131,6531.105,6524.071,6516.975,6509.935,6502.630,6495.548,6488.346,6481.078,6473.767</history>
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template4/item0
|
GIFT synthesize
|
anomaly
|
D
|
0.230,0.000,0.366,0.137,0.345,0.323,0.349,0.397,75.318,181.330,286.902,393.023,498.804,604.807,710.371,816.593,922.629,1028.266,1134.330,1240.201,1346.289,1318.352,1212.853,1107.412,1001.988,896.562,791.123,685.764,580.448,475.020,369.519,264.109,158.908,53.371,7.201,192.690,378.194,563.654,749.032,934.683,1120.189,1120.616,1120.994,1121.805,1122.246,1122.839,1123.343,1123.825,1124.396,1124.953,1125.593,1126.141,1126.965,1127.563,1212.331,1318.889,1425.427,1531.673,1638.107,1744.449,1851.239,1957.383,2064.265,2170.487,2277.026,2383.539,2490.015,2443.596,2338.766,2234.146,2129.118,2024.222,1919.418,1814.306,1709.538,1604.724,1500.017,1395.195,1290.426,1185.601,1149.459,1150.381,1151.203,1152.305,1153.559,1154.349,1155.417,1156.427,1157.431,1158.530,1159.953,1160.764,1161.882,1162.907,1164.210,1165.179,1166.483,1167.639,1168.762,1169.983,1265.259,1372.004,1479.011,1586.056,1693.018,1799.948,1906.878,2013.873,2121.191,2228.114,2335.143,2442.156,2549.406,2484.580,2380.415,2276.219,2171.491,3893.355,3768.724,3602.856,3395.748,3147.936,2859.001,2754.653,2650.447,2546.262,2519.957,2521.695,2523.335,2524.637,2526.368,2528.084,2529.526,2531.086,2532.814,2534.452,2535.969,2537.572,2539.310,2541.022,2542.713,2544.226,2546.113,2547.879,2549.616,2551.217,2656.514,2763.921,2871.411,2979.260,3086.584,3194.158,3301.697,3409.185,3516.934,3624.641,3732.091,3839.859,3947.424,3864.202,3760.547,3656.698,3552.971,3449.260,3345.535,3241.782,3137.917,3034.353,2930.501,2826.885,2723.310,2619.678,2603.662,2605.481,2607.628,2609.750,2611.931,2613.989,2616.218,2618.322,2620.635,2622.910,2624.793,2627.104,2629.389,2631.729,2633.971,2636.152,2638.343,2640.677,2643.075,2652.404,2760.454,2868.464,2976.703,3084.846,3192.858,3300.879,3409.256,3517.388,3625.555,3733.704,3841.975,3950.046,4058.186,3956.625,3853.424,3750.156,3647.124,3543.920,3440.530,3337.415,3234.457,3131.086,3027.960,2924.745,2821.717,2718.571,2712.559,2715.207,2717.792,2720.609,2723.320,2726.017,2728.467,2731.513,2734.244,2736.813,2739.860,2742.710,2745.251,2748.006,2750.722,2753.683,2756.306,2759.423,2762.241,2781.737,2890.359,2998.848,3107.643,3216.330,3324.882,3433.648,3542.320,3651.176,3759.657,3868.441,3977.294,4085.952,4177.375,4074.539,3972.041,3869.363,3766.646,3664.062,3561.446,3458.886,3356.036,3253.544,3151.013,3048.333,2945.868,2844.141,2847.391,2850.567,2853.842,2857.216,2860.219,2863.664,2866.972,2870.257,2873.426,2876.776,2880.180,2883.342,2886.866,2890.286,2893.474,2896.923,2900.406,2903.853,2907.051,2936.713,3045.735,3155.065,3264.314,3373.561,3482.546,3591.838,3701.130,3810.410,3919.782,4029.020,4138.349,4247.776,4320.591,4218.416,4116.484,4014.413,3912.386,3810.109,3707.980,3605.962,3503.878,3401.972,3299.718,3197.813,3095.828,3004.185,3008.057,3011.803,3015.598,3019.281,3023.206,3027.078,3030.654,3034.731,3038.405,3042.310,3046.254,3050.198,3054.002,3057.996,3062.121,3066.128,3069.865,3073.765,3077.848,3117.411,3227.221,3336.854,3446.584,3556.302,3666.170,3776.031,3886.008,3995.548,4105.503,4215.539,4325.252,4434.998,4489.593,4388.027,4286.514,4185.106,4083.398,3981.864,3880.454,3778.941,3677.486,3575.773,3474.554,3373.035,3271.549,3189.896,3194.259,3198.714,3203.113,3207.360,3211.876,3215.931
|
2025-10-10 00:00:00
|
2026-10-06 00:00:00
|
3220.355,3224.736,3229.461,3233.663,3238.274,3242.641,3247.277,3251.589,3255.986,3260.670,3265.206,3269.632,3274.239,3323.827,3434.091,3544.387,3654.920,3765.089,3875.486,3985.651,4096.160,4206.626,4317.014,4427.350,4537.837,4648.154,4684.358,4583.580,4482.299,4381.427,4280.275,4179.417,4078.499,3977.466,3876.758,3775.841,3674.727,3574.016,3473.063,3401.490,3406.509,3411.250,3416.221,3421.089,3426.218,3430.891,3435.858,3440.885,3445.942,3450.796,3455.865,3460.938,3465.828,3470.885,3476.032,3481.095,3486.276,3491.220,3496.300,3556.003,3666.900,3777.573,3888.849,3999.521,4110.456,4221.464,4332.372,4443.395,4554.489,4665.128,4776.364,4887.317,4904.894,4804.600,4703.819,4603.548,4503.254,4402.520,4302.349,4202.088,4101.566,4001.273,3900.803,3800.515,3700.219,3638.668,3644.185,3649.805,3655.087,3660.433,3666.116,3671.659,3677.109,3682.577,3688.059,3693.933,3699.169,3704.847,3710.440,3716.084,3721.753,3727.300,3732.769,3738.678,3744.340,3814.091,3925.546,4036.929,4148.284,4259.712,4371.240,4482.772,4594.182,4705.732,4817.280,4928.654,5040.505,5151.785,5151.046,5051.148,4951.327,4851.511,4751.451,4651.817,4552.029,4452.035,4352.404,4252.385,4152.537,4052.894,3953.346,3901.714,3907.798,3913.564,3919.618,3925.769,3931.788,3937.960,3943.920,3950.110,3956.196,3962.364,3968.290,3974.432,3980.673,3986.912,3993.193,3999.317,4005.418,4011.710
|
2026-10-07 00:00:00
|
2027-03-05 00:00:00
|
,
| 150
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the sales of this store over the next 150 days, from 2026-10-07 00:00:00 to 2027-03-05 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-10-06 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
|
<history>0.230,0.000,0.366,0.137,0.345,0.323,0.349,0.397,75.318,181.330,286.902,393.023,498.804,604.807,710.371,816.593,922.629,1028.266,1134.330,1240.201,1346.289,1318.352,1212.853,1107.412,1001.988,896.562,791.123,685.764,580.448,475.020,369.519,264.109,158.908,53.371,7.201,192.690,378.194,563.654,749.032,934.683,1120.189,1120.616,1120.994,1121.805,1122.246,1122.839,1123.343,1123.825,1124.396,1124.953,1125.593,1126.141,1126.965,1127.563,1212.331,1318.889,1425.427,1531.673,1638.107,1744.449,1851.239,1957.383,2064.265,2170.487,2277.026,2383.539,2490.015,2443.596,2338.766,2234.146,2129.118,2024.222,1919.418,1814.306,1709.538,1604.724,1500.017,1395.195,1290.426,1185.601,1149.459,1150.381,1151.203,1152.305,1153.559,1154.349,1155.417,1156.427,1157.431,1158.530,1159.953,1160.764,1161.882,1162.907,1164.210,1165.179,1166.483,1167.639,1168.762,1169.983,1265.259,1372.004,1479.011,1586.056,1693.018,1799.948,1906.878,2013.873,2121.191,2228.114,2335.143,2442.156,2549.406,2484.580,2380.415,2276.219,2171.491,3893.355,3768.724,3602.856,3395.748,3147.936,2859.001,2754.653,2650.447,2546.262,2519.957,2521.695,2523.335,2524.637,2526.368,2528.084,2529.526,2531.086,2532.814,2534.452,2535.969,2537.572,2539.310,2541.022,2542.713,2544.226,2546.113,2547.879,2549.616,2551.217,2656.514,2763.921,2871.411,2979.260,3086.584,3194.158,3301.697,3409.185,3516.934,3624.641,3732.091,3839.859,3947.424,3864.202,3760.547,3656.698,3552.971,3449.260,3345.535,3241.782,3137.917,3034.353,2930.501,2826.885,2723.310,2619.678,2603.662,2605.481,2607.628,2609.750,2611.931,2613.989,2616.218,2618.322,2620.635,2622.910,2624.793,2627.104,2629.389,2631.729,2633.971,2636.152,2638.343,2640.677,2643.075,2652.404,2760.454,2868.464,2976.703,3084.846,3192.858,3300.879,3409.256,3517.388,3625.555,3733.704,3841.975,3950.046,4058.186,3956.625,3853.424,3750.156,3647.124,3543.920,3440.530,3337.415,3234.457,3131.086,3027.960,2924.745,2821.717,2718.571,2712.559,2715.207,2717.792,2720.609,2723.320,2726.017,2728.467,2731.513,2734.244,2736.813,2739.860,2742.710,2745.251,2748.006,2750.722,2753.683,2756.306,2759.423,2762.241,2781.737,2890.359,2998.848,3107.643,3216.330,3324.882,3433.648,3542.320,3651.176,3759.657,3868.441,3977.294,4085.952,4177.375,4074.539,3972.041,3869.363,3766.646,3664.062,3561.446,3458.886,3356.036,3253.544,3151.013,3048.333,2945.868,2844.141,2847.391,2850.567,2853.842,2857.216,2860.219,2863.664,2866.972,2870.257,2873.426,2876.776,2880.180,2883.342,2886.866,2890.286,2893.474,2896.923,2900.406,2903.853,2907.051,2936.713,3045.735,3155.065,3264.314,3373.561,3482.546,3591.838,3701.130,3810.410,3919.782,4029.020,4138.349,4247.776,4320.591,4218.416,4116.484,4014.413,3912.386,3810.109,3707.980,3605.962,3503.878,3401.972,3299.718,3197.813,3095.828,3004.185,3008.057,3011.803,3015.598,3019.281,3023.206,3027.078,3030.654,3034.731,3038.405,3042.310,3046.254,3050.198,3054.002,3057.996,3062.121,3066.128,3069.865,3073.765,3077.848,3117.411,3227.221,3336.854,3446.584,3556.302,3666.170,3776.031,3886.008,3995.548,4105.503,4215.539,4325.252,4434.998,4489.593,4388.027,4286.514,4185.106,4083.398,3981.864,3880.454,3778.941,3677.486,3575.773,3474.554,3373.035,3271.549,3189.896,3194.259,3198.714,3203.113,3207.360,3211.876,3215.931</history>
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-10-06 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
Predict the sales of this store over the next 150 days, from 2026-10-07 00:00:00 to 2027-03-05 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template0/item1
|
GIFT synthesize
|
anomaly
|
S
|
9.803,9.726,9.650,9.574,9.499,9.424,9.349,9.274,9.200,9.126,9.052,8.979,8.905,8.833,8.760,8.688,8.616,8.544,8.473,8.402,8.331,8.261,8.190,8.121,8.051,7.982,7.913,7.844,7.776,7.708,7.640,7.573,7.505,7.439,7.372,7.306,7.240,7.174,7.108,7.044,6.979,6.914,6.850,6.900,7.177,7.683,8.415,9.376,10.564,11.980,13.623,15.495,17.593,19.920,22.474,25.256,28.265,31.502,34.967,34.908,34.849,34.791,31.888,29.131,26.521,24.056,21.738,19.566,17.541,15.661,13.928,12.341,10.899,9.605,8.456,7.453,6.597,5.887,5.323,4.905,4.633,4.581,4.529,4.477,4.425,4.374,4.323,4.272,4.222,4.171,4.122,4.072,4.023,3.974,3.925,3.877,3.829,3.782,3.734,5.005,5.727,4.954,3.721,4.902,3.230,4.453,2.337,5.812,4.586,2.779,4.374,2.733,3.876,5.277,1.000,1.957,3.378,4.665,1.512,4.634,1.669,1.492,2.479,0.882,4.444,0.906,3.905,3.317,1.097,4.667,4.634,1.155,2.778,1.868,2.236,4.100,2.154,2.118,2.083,2.048,2.012,1.978,1.944,1.910,1.876,1.843,1.810,1.777,1.744,1.712,1.680,1.649,1.618,1.587,1.556,1.526,1.496,1.466,1.436,1.407,1.378,1.350,1.322,1.294,1.266,1.239,1.212,1.185,1.158,1.132,1.106,1.081,1.055,1.030,1.006,0.981,0.957,0.933,0.910,0.887,0.864,0.841,0.819,0.797,0.775,0.754,0.733,0.712,0.692,0.671,0.651,0.632,0.612,0.594,0.575,0.557,0.538,0.521,0.503,0.486,0.469,0.452,0.436,0.420,0.404,0.389
|
2025-10-08 00:00:00
|
2025-10-08 00:03:25
|
0.374,0.359,0.344,0.330,0.316,0.303,0.290,0.276,0.264,0.251,0.239,0.227,0.216,0.205,0.194,0.183,0.173,0.163,0.153,0.144,0.135,0.126,0.117,0.109,0.101,0.093,0.086,0.079,0.072,0.066,0.060,0.054,0.048,0.043,0.038,0.033,0.029,0.025,0.021,0.018,0.015,0.012,0.009,0.007,0.005,0.004,0.002,0.001,0.000,0.000
|
2025-10-08 00:03:26
|
2025-10-08 00:04:15
|
,
| 50
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:41 to 2025-10-08 00:01:20 and 2025-10-08 00:01:38 to 2025-10-08 00:02:15 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
|
<history>9.803,9.726,9.650,9.574,9.499,9.424,9.349,9.274,9.200,9.126,9.052,8.979,8.905,8.833,8.760,8.688,8.616,8.544,8.473,8.402,8.331,8.261,8.190,8.121,8.051,7.982,7.913,7.844,7.776,7.708,7.640,7.573,7.505,7.439,7.372,7.306,7.240,7.174,7.108,7.044,6.979,6.914,6.850,6.900,7.177,7.683,8.415,9.376,10.564,11.980,13.623,15.495,17.593,19.920,22.474,25.256,28.265,31.502,34.967,34.908,34.849,34.791,31.888,29.131,26.521,24.056,21.738,19.566,17.541,15.661,13.928,12.341,10.899,9.605,8.456,7.453,6.597,5.887,5.323,4.905,4.633,4.581,4.529,4.477,4.425,4.374,4.323,4.272,4.222,4.171,4.122,4.072,4.023,3.974,3.925,3.877,3.829,3.782,3.734,5.005,5.727,4.954,3.721,4.902,3.230,4.453,2.337,5.812,4.586,2.779,4.374,2.733,3.876,5.277,1.000,1.957,3.378,4.665,1.512,4.634,1.669,1.492,2.479,0.882,4.444,0.906,3.905,3.317,1.097,4.667,4.634,1.155,2.778,1.868,2.236,4.100,2.154,2.118,2.083,2.048,2.012,1.978,1.944,1.910,1.876,1.843,1.810,1.777,1.744,1.712,1.680,1.649,1.618,1.587,1.556,1.526,1.496,1.466,1.436,1.407,1.378,1.350,1.322,1.294,1.266,1.239,1.212,1.185,1.158,1.132,1.106,1.081,1.055,1.030,1.006,0.981,0.957,0.933,0.910,0.887,0.864,0.841,0.819,0.797,0.775,0.754,0.733,0.712,0.692,0.671,0.651,0.632,0.612,0.594,0.575,0.557,0.538,0.521,0.503,0.486,0.469,0.452,0.436,0.420,0.404,0.389</history>
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:41 to 2025-10-08 00:01:20 and 2025-10-08 00:01:38 to 2025-10-08 00:02:15 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template1/item1
|
GIFT synthesize
|
anomaly
|
S
|
14.855,14.855,14.852,14.854,14.850,14.849,14.846,14.843,14.839,14.835,14.830,14.827,14.821,7.059,22.881,26.085,9.680,2.817,6.463,11.880,11.110,27.974,22.310,17.379,20.249,2.389,1.111,9.652,14.676,14.660,14.648,14.636,14.620,14.605,14.591,14.576,14.558,14.542,14.521,14.508,14.489,14.469,14.451,14.434,14.411,14.391,14.370,14.350,14.328,14.308,14.284,14.259,14.236,14.212,14.189,14.163,14.139,14.110,14.086,14.059,14.031,14.005,13.975,13.948,13.918,13.889,13.861,13.829,13.797,13.768,13.735,13.704,13.669,13.637,13.603,13.570,13.535,13.500,13.465,13.429,13.392,13.356,13.318,13.280,13.243,13.205,13.164,13.123,13.085,13.044,13.004,12.962,12.922,12.879,12.837,12.794,12.749,12.705,12.661,12.615,12.570,12.524,12.478,12.430,12.384,12.335,21.203,17.547,0.434,13.251,15.351,20.634,4.553,23.944,21.560,3.747,16.482,14.936,15.870,16.784,12.966,20.042,6.240,14.929,18.747,22.234,7.984,8.549,2.664,3.317,4.427,0.000,16.452,9.919,5.373,9.509,4.571,14.456,19.951,7.129,3.475,10.314,10.247,10.184,10.117,10.050,9.985,9.919,9.850,9.783,9.715,9.646,9.575,9.506,9.437,9.366,9.295,9.222,9.151,9.079,9.005,8.933,8.859,8.785,8.712,8.635,8.559,8.483,8.406,8.331,8.253,8.175,8.097,8.017,7.938,7.859,7.778,7.698,7.617,7.535,7.455,7.370,7.287,7.204,7.119,7.037,6.951,6.866,6.781,6.695,6.608,6.523,6.433,6.344,6.257,6.169,6.078,5.990,5.898,5.808,5.717,5.626,5.534,5.440,5.349,5.254
|
2025-10-08 00:00:00
|
2025-10-08 00:03:25
|
5.160,5.067,4.971,4.878,4.780,4.683,4.590,4.491,4.394,4.294,4.197,4.097,4.000,3.900,3.797,3.698,3.598,3.494,3.393,3.289,3.187,3.084,2.980,2.876,2.770,2.665,2.561,2.453,2.346,2.242,2.132,2.026,1.916,1.806,1.699,1.587,1.478,1.365,1.255,1.142,1.032,0.920,0.806,0.692,0.577,0.464,0.348,0.234,0.115,0.000
|
2025-10-08 00:03:26
|
2025-10-08 00:04:15
|
,
| 50
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:12 to 2025-10-08 00:00:27 and 2025-10-08 00:01:45 to 2025-10-08 00:02:20 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
|
<history>14.855,14.855,14.852,14.854,14.850,14.849,14.846,14.843,14.839,14.835,14.830,14.827,14.821,7.059,22.881,26.085,9.680,2.817,6.463,11.880,11.110,27.974,22.310,17.379,20.249,2.389,1.111,9.652,14.676,14.660,14.648,14.636,14.620,14.605,14.591,14.576,14.558,14.542,14.521,14.508,14.489,14.469,14.451,14.434,14.411,14.391,14.370,14.350,14.328,14.308,14.284,14.259,14.236,14.212,14.189,14.163,14.139,14.110,14.086,14.059,14.031,14.005,13.975,13.948,13.918,13.889,13.861,13.829,13.797,13.768,13.735,13.704,13.669,13.637,13.603,13.570,13.535,13.500,13.465,13.429,13.392,13.356,13.318,13.280,13.243,13.205,13.164,13.123,13.085,13.044,13.004,12.962,12.922,12.879,12.837,12.794,12.749,12.705,12.661,12.615,12.570,12.524,12.478,12.430,12.384,12.335,21.203,17.547,0.434,13.251,15.351,20.634,4.553,23.944,21.560,3.747,16.482,14.936,15.870,16.784,12.966,20.042,6.240,14.929,18.747,22.234,7.984,8.549,2.664,3.317,4.427,0.000,16.452,9.919,5.373,9.509,4.571,14.456,19.951,7.129,3.475,10.314,10.247,10.184,10.117,10.050,9.985,9.919,9.850,9.783,9.715,9.646,9.575,9.506,9.437,9.366,9.295,9.222,9.151,9.079,9.005,8.933,8.859,8.785,8.712,8.635,8.559,8.483,8.406,8.331,8.253,8.175,8.097,8.017,7.938,7.859,7.778,7.698,7.617,7.535,7.455,7.370,7.287,7.204,7.119,7.037,6.951,6.866,6.781,6.695,6.608,6.523,6.433,6.344,6.257,6.169,6.078,5.990,5.898,5.808,5.717,5.626,5.534,5.440,5.349,5.254</history>
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:12 to 2025-10-08 00:00:27 and 2025-10-08 00:01:45 to 2025-10-08 00:02:20 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template2/item1
|
GIFT synthesize
|
anomaly
|
S
|
24.725,24.629,24.526,24.426,24.337,24.218,24.109,24.021,23.911,23.815,23.710,23.624,23.511,23.406,23.314,23.203,23.104,23.003,22.913,22.793,22.701,22.610,22.509,22.399,22.299,22.218,22.109,22.002,14.159,30.600,25.329,20.132,17.209,14.623,30.874,13.204,26.293,19.704,24.976,18.480,14.477,27.958,12.967,14.644,26.280,27.945,13.022,11.870,24.124,20.013,20.002,21.806,26.665,22.393,19.018,23.527,28.762,24.190,22.647,10.683,18.696,24.388,26.039,18.544,11.664,10.121,13.860,10.369,9.368,16.709,14.839,12.872,26.969,7.187,21.460,26.551,16.977,24.150,19.540,10.874,17.890,19.824,17.733,20.864,18.744,16.305,16.205,16.111,16.037,15.935,15.847,15.740,15.637,15.554,15.449,15.370,15.272,15.175,15.085,14.992,14.900,14.808,14.698,14.627,14.528,14.434,14.339,14.243,14.156,14.067,13.979,13.880,13.803,13.692,13.611,13.521,13.436,13.344,13.267,13.163,16.811,20.454,24.033,27.617,31.146,34.606,38.003,41.341,44.542,47.699,50.696,53.592,56.360,58.979,61.460,63.763,65.937,67.925,69.737,71.357,72.808,74.029,75.097,75.940,76.588,77.023,77.266,77.166,77.085,77.002,76.664,75.815,74.422,72.516,70.099,67.169,63.713,59.742,55.262,50.254,44.714,38.668,32.112,25.013,17.404,9.280,9.202,9.120,9.054,8.968,8.893,8.812,8.747,8.665,8.574,8.498,8.434,8.344,8.283,8.203,8.138,8.057,7.970,7.898,7.830,7.747,7.693,7.616,7.538,7.461,7.394,7.326,7.233,7.179,7.099,7.051,6.970,6.888,6.827,6.759,6.677,6.620,6.553,6.471,6.416,6.337,6.290,6.205,6.138,6.069,6.031,5.947,5.872,5.812,5.749,5.686,5.635,5.555,5.488,5.419,5.379,5.309,5.232,5.182,5.119,5.056,5.000,4.924,4.865,4.808,4.751,4.698,4.649,4.571,4.512,4.450,4.391,4.346,4.293,4.239,4.184,4.129,4.066,4.013,3.954,3.903,3.856,3.787,3.746,3.678,3.622,3.591,3.529,3.486,3.439,3.379,3.321,3.269,3.222,3.182,3.112,3.082,3.019,2.971
|
2025-10-08 00:00:00
|
2025-10-08 00:04:23
|
2.932,2.894,2.843,2.792,2.735,2.688,2.661,2.611,2.559,2.499,2.484,2.427,2.389,2.355,2.291,2.263,2.205,2.160,2.132,2.088,2.053,2.019,1.974,1.941,1.908,1.847,1.797,1.774,1.743,1.705,1.668,1.636,1.596,1.552,1.532,1.489,1.462,1.415,1.363,1.355,1.330,1.300,1.262,1.230,1.203,1.165,1.141,1.110,1.086,1.029,1.015,1.008,0.969,0.925,0.901,0.869,0.855,0.834,0.794,0.780,0.759,0.725,0.701,0.677,0.653,0.625,0.614,0.590,0.573,0.547,0.541,0.508,0.499,0.468,0.449,0.419,0.409,0.397,0.368,0.370,0.355,0.321,0.308,0.300,0.267,0.257,0.265,0.245,0.221,0.201,0.197,0.177,0.176,0.158,0.143,0.153,0.145,0.103,0.123,0.095,0.097,0.089,0.085,0.071,0.061,0.052,0.043,0.045,0.039,0.050,0.043,0.035,0.026,0.038,0.023,0.000,0.002,0.018,0.016,0.006
|
2025-10-08 00:04:24
|
2025-10-08 00:06:23
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:27 to 2025-10-08 00:01:24 and 2025-10-08 00:01:58 to 2025-10-08 00:02:45 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
|
<history>24.725,24.629,24.526,24.426,24.337,24.218,24.109,24.021,23.911,23.815,23.710,23.624,23.511,23.406,23.314,23.203,23.104,23.003,22.913,22.793,22.701,22.610,22.509,22.399,22.299,22.218,22.109,22.002,14.159,30.600,25.329,20.132,17.209,14.623,30.874,13.204,26.293,19.704,24.976,18.480,14.477,27.958,12.967,14.644,26.280,27.945,13.022,11.870,24.124,20.013,20.002,21.806,26.665,22.393,19.018,23.527,28.762,24.190,22.647,10.683,18.696,24.388,26.039,18.544,11.664,10.121,13.860,10.369,9.368,16.709,14.839,12.872,26.969,7.187,21.460,26.551,16.977,24.150,19.540,10.874,17.890,19.824,17.733,20.864,18.744,16.305,16.205,16.111,16.037,15.935,15.847,15.740,15.637,15.554,15.449,15.370,15.272,15.175,15.085,14.992,14.900,14.808,14.698,14.627,14.528,14.434,14.339,14.243,14.156,14.067,13.979,13.880,13.803,13.692,13.611,13.521,13.436,13.344,13.267,13.163,16.811,20.454,24.033,27.617,31.146,34.606,38.003,41.341,44.542,47.699,50.696,53.592,56.360,58.979,61.460,63.763,65.937,67.925,69.737,71.357,72.808,74.029,75.097,75.940,76.588,77.023,77.266,77.166,77.085,77.002,76.664,75.815,74.422,72.516,70.099,67.169,63.713,59.742,55.262,50.254,44.714,38.668,32.112,25.013,17.404,9.280,9.202,9.120,9.054,8.968,8.893,8.812,8.747,8.665,8.574,8.498,8.434,8.344,8.283,8.203,8.138,8.057,7.970,7.898,7.830,7.747,7.693,7.616,7.538,7.461,7.394,7.326,7.233,7.179,7.099,7.051,6.970,6.888,6.827,6.759,6.677,6.620,6.553,6.471,6.416,6.337,6.290,6.205,6.138,6.069,6.031,5.947,5.872,5.812,5.749,5.686,5.635,5.555,5.488,5.419,5.379,5.309,5.232,5.182,5.119,5.056,5.000,4.924,4.865,4.808,4.751,4.698,4.649,4.571,4.512,4.450,4.391,4.346,4.293,4.239,4.184,4.129,4.066,4.013,3.954,3.903,3.856,3.787,3.746,3.678,3.622,3.591,3.529,3.486,3.439,3.379,3.321,3.269,3.222,3.182,3.112,3.082,3.019,2.971</history>
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:27 to 2025-10-08 00:01:24 and 2025-10-08 00:01:58 to 2025-10-08 00:02:45 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template3/item1
|
GIFT synthesize
|
anomaly
|
S
|
22.601,22.519,22.425,22.331,22.232,22.142,22.063,21.965,21.873,21.780,21.690,21.597,21.497,21.414,21.320,21.231,21.141,21.042,20.936,20.854,20.767,20.671,20.574,20.483,20.395,20.303,20.215,20.115,20.028,19.934,19.848,19.751,19.660,19.565,19.482,19.398,19.289,19.204,19.110,19.021,18.924,18.826,18.752,18.641,18.564,18.476,18.380,18.293,18.206,18.100,18.021,17.930,17.837,17.751,17.662,17.564,17.477,17.394,17.293,17.215,15.643,27.336,25.704,15.489,12.100,14.781,15.831,8.938,5.327,7.005,12.275,4.933,17.804,13.465,22.758,12.824,17.632,24.760,12.520,12.714,22.731,12.261,13.934,4.537,15.932,20.078,7.407,19.517,16.936,25.231,19.351,8.309,11.820,17.989,14.882,11.265,5.191,13.874,13.791,13.707,13.610,13.535,13.453,13.367,13.278,13.200,13.107,13.031,12.949,12.863,12.777,12.688,12.610,12.528,12.447,12.361,12.287,12.197,12.107,12.031,11.959,11.870,11.791,11.717,11.628,11.536,11.461,11.389,11.321,11.222,11.144,11.073,10.992,10.914,10.826,10.763,10.682,10.582,10.518,10.444,10.364,10.274,10.198,10.125,10.044,9.966,9.902,9.815,9.740,9.670,9.590,9.525,9.438,9.374,9.298,9.213,9.139,9.068,8.997,8.914,8.843,8.784,8.699,8.634,8.557,8.479,8.411,8.345,8.272,8.194,8.123,8.057,7.989,7.910,7.849,7.789,7.707,7.622,7.566,7.502,7.431,7.365,7.297,7.220,7.156,7.085,7.025,6.954,6.890,6.819,6.756,6.699,6.631,6.562,6.499,6.422,6.360,6.298,6.236,6.173,6.108,6.039,5.997,5.912,5.852,5.796,2.400,1.985,5.949,3.084,4.475,5.211,7.499,3.461,5.221,6.426,2.779,1.666,3.565,2.855,4.498,7.674,4.788,4.730,4.677,4.622,4.558,4.507,4.445,4.398,4.347,4.291,4.229,4.180,4.123,4.072,4.018,3.962,3.905,3.861,3.806,3.767,3.706,3.651,3.617,3.561,3.513,3.461,3.412,3.360,3.314,3.271,3.211,3.162,3.124,3.077,3.032,2.986,2.943,2.898,2.845,2.806,2.762,2.718
|
2025-10-08 00:00:00
|
2025-10-08 00:04:23
|
2.678,2.627,2.585,2.547,2.500,2.455,2.410,2.373,2.329,2.285,2.257,2.214,2.172,2.126,2.093,2.056,2.015,1.976,1.942,1.904,1.862,1.831,1.796,1.757,1.718,1.689,1.652,1.622,1.582,1.549,1.509,1.485,1.439,1.428,1.385,1.349,1.327,1.298,1.262,1.233,1.195,1.177,1.144,1.113,1.085,1.056,1.031,1.001,0.972,0.944,0.925,0.902,0.871,0.851,0.826,0.795,0.766,0.750,0.720,0.703,0.694,0.663,0.641,0.613,0.587,0.570,0.556,0.523,0.514,0.485,0.475,0.454,0.439,0.420,0.401,0.385,0.369,0.344,0.341,0.319,0.304,0.292,0.275,0.259,0.246,0.231,0.228,0.204,0.201,0.176,0.172,0.165,0.146,0.136,0.122,0.130,0.106,0.098,0.108,0.083,0.069,0.070,0.073,0.059,0.047,0.040,0.046,0.035,0.023,0.021,0.018,0.013,0.018,0.009,0.008,0.011,0.003,0.006,0.000,0.007
|
2025-10-08 00:04:24
|
2025-10-08 00:06:23
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:59 to 2025-10-08 00:01:36 and 2025-10-08 00:03:25 to 2025-10-08 00:03:41 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
|
<history>22.601,22.519,22.425,22.331,22.232,22.142,22.063,21.965,21.873,21.780,21.690,21.597,21.497,21.414,21.320,21.231,21.141,21.042,20.936,20.854,20.767,20.671,20.574,20.483,20.395,20.303,20.215,20.115,20.028,19.934,19.848,19.751,19.660,19.565,19.482,19.398,19.289,19.204,19.110,19.021,18.924,18.826,18.752,18.641,18.564,18.476,18.380,18.293,18.206,18.100,18.021,17.930,17.837,17.751,17.662,17.564,17.477,17.394,17.293,17.215,15.643,27.336,25.704,15.489,12.100,14.781,15.831,8.938,5.327,7.005,12.275,4.933,17.804,13.465,22.758,12.824,17.632,24.760,12.520,12.714,22.731,12.261,13.934,4.537,15.932,20.078,7.407,19.517,16.936,25.231,19.351,8.309,11.820,17.989,14.882,11.265,5.191,13.874,13.791,13.707,13.610,13.535,13.453,13.367,13.278,13.200,13.107,13.031,12.949,12.863,12.777,12.688,12.610,12.528,12.447,12.361,12.287,12.197,12.107,12.031,11.959,11.870,11.791,11.717,11.628,11.536,11.461,11.389,11.321,11.222,11.144,11.073,10.992,10.914,10.826,10.763,10.682,10.582,10.518,10.444,10.364,10.274,10.198,10.125,10.044,9.966,9.902,9.815,9.740,9.670,9.590,9.525,9.438,9.374,9.298,9.213,9.139,9.068,8.997,8.914,8.843,8.784,8.699,8.634,8.557,8.479,8.411,8.345,8.272,8.194,8.123,8.057,7.989,7.910,7.849,7.789,7.707,7.622,7.566,7.502,7.431,7.365,7.297,7.220,7.156,7.085,7.025,6.954,6.890,6.819,6.756,6.699,6.631,6.562,6.499,6.422,6.360,6.298,6.236,6.173,6.108,6.039,5.997,5.912,5.852,5.796,2.400,1.985,5.949,3.084,4.475,5.211,7.499,3.461,5.221,6.426,2.779,1.666,3.565,2.855,4.498,7.674,4.788,4.730,4.677,4.622,4.558,4.507,4.445,4.398,4.347,4.291,4.229,4.180,4.123,4.072,4.018,3.962,3.905,3.861,3.806,3.767,3.706,3.651,3.617,3.561,3.513,3.461,3.412,3.360,3.314,3.271,3.211,3.162,3.124,3.077,3.032,2.986,2.943,2.898,2.845,2.806,2.762,2.718</history>
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:59 to 2025-10-08 00:01:36 and 2025-10-08 00:03:25 to 2025-10-08 00:03:41 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template4/item1
|
GIFT synthesize
|
anomaly
|
S
|
25.019,25.003,25.015,25.027,25.008,24.994,24.992,25.012,24.989,24.989,24.986,25.023,25.019,24.990,24.984,24.989,24.974,24.983,24.978,24.958,24.975,24.969,24.953,24.958,24.974,24.965,24.943,24.942,24.922,24.918,24.915,24.934,24.923,24.911,24.891,24.884,24.880,24.857,24.856,24.859,24.868,24.860,24.834,24.833,24.818,24.811,24.824,24.810,24.770,24.794,24.768,24.754,24.731,24.741,24.729,24.726,24.726,24.708,24.688,24.680,24.671,24.659,24.643,24.641,24.608,24.615,24.611,24.601,24.566,24.551,24.544,24.534,24.524,24.512,24.459,24.463,27.379,30.289,33.190,36.061,38.936,41.779,44.571,47.361,50.130,52.804,55.495,58.084,60.651,63.165,65.621,67.993,70.324,72.556,74.719,76.825,78.827,80.769,82.583,84.335,85.972,87.536,89.003,90.365,91.607,92.763,93.824,94.761,95.594,96.314,96.883,97.397,97.784,98.040,98.214,98.181,98.131,81.431,81.013,92.955,88.085,88.559,69.963,65.462,80.709,51.115,48.518,47.573,43.002,48.898,35.504,36.878,46.795,43.965,55.990,26.419,22.165,37.431,18.035,23.146,23.145,23.118,23.070,23.045,23.015,23.007,22.985,22.956,22.914,22.878,22.861,22.837,22.809,22.785,22.735,22.712,22.682,22.665,22.617,22.575,22.559,22.541,22.488,22.473,22.428,22.398,22.358,22.338,22.320,22.278,22.243,22.205,22.161,22.135,22.102,22.076,22.048,22.013,21.959,21.948,21.910,21.866,21.840,21.792,21.764,21.720,21.708,21.683,21.637,21.600,21.538,21.520,21.468,21.454,21.412,21.357,21.330,21.302,21.243,21.225,21.183,21.136,21.100,21.068,21.044,20.993,20.953,20.925,20.860,20.835,20.784,20.764,20.715,20.691,20.623,20.582,20.539,20.507,20.461,20.437,20.370,20.327,20.296,20.258,20.199,20.161,20.137,20.064,20.037,19.985,19.954,19.903,19.864,19.817,19.762,19.730,19.689,19.625,19.573,19.514,19.486,19.489,19.379,19.344,19.300,19.251,19.216,19.176,19.117,19.070,19.023,18.978,18.935,18.869,18.821,18.771,18.758,18.696,18.634,18.584,18.544,18.493,18.447,18.385,18.313,18.305,18.229,18.179,18.124,18.081,18.023,17.953,17.907,17.857,17.838,17.744,17.731,17.678,17.601,17.548,17.490,17.443,17.398,17.357,17.269,17.222,17.189,17.112,17.069,17.016,16.948,16.885,16.847,16.776,16.738,16.672,16.616,16.572,16.497,16.434,16.394,16.331,16.266,16.207,16.151,16.100,16.049,15.999,15.943,15.873,15.814,15.747,15.699,15.628,15.587,15.494,15.428,15.391,15.338,15.253,17.130,18.934,20.651,22.346,23.934,25.492,26.971,28.396,29.736,31.039,32.262,33.432,34.547,35.584,36.560,37.464,38.328,39.095,39.831,40.480,41.096,41.613,42.083,42.490,42.842,43.111,43.338,43.489,43.574,43.622,43.539,43.492,43.395,45.001,37.735,34.861,35.414,28.362,26.399,26.807,21.657,19.919,19.166,14.051,12.321,12.228,12.174,12.108,12.025,11.979,11.911,11.834,11.771,11.678,11.617,11.538,11.458,11.401,11.340,11.239,11.179,11.085,11.042,10.954,10.864,10.817,10.752,10.675,10.576,10.504,10.441,10.355,10.289,10.224,10.121,10.070,9.989,9.932,9.858,9.765,9.686,9.609,9.517,9.466,9.390,9.294,9.234,9.148,9.078,8.976,8.918,8.836
|
2025-10-08 00:00:00
|
2025-10-08 00:06:51
|
8.758,8.684,8.607,8.512,8.437,8.364,8.294,8.186,8.113,8.022,7.972,7.877,7.798,7.710,7.626,7.536,7.458,7.389,7.294,7.214,7.139,7.060,6.976,6.877,6.819,6.701,6.640,6.564,6.471,6.379,6.288,6.214,6.123,6.048,5.946,5.871,5.796,5.688,5.625,5.540,5.436,5.358,5.259,5.160,5.098,4.997,4.939,4.832,4.735,4.643,4.559,4.494,4.382,4.291,4.207,4.128,4.041,3.928,3.835,3.774,3.667,3.594,3.502,3.419,3.308,3.229,3.124,3.037,2.948,2.827,2.766,2.668,2.544,2.485,2.391,2.293,2.195,2.087,2.012,1.904,1.835,1.729,1.631,1.532,1.426,1.337,1.261,1.167,1.062,0.974,0.877,0.770,0.679,0.593,0.506,0.405,0.284,0.214,0.101,0.000
|
2025-10-08 00:06:52
|
2025-10-08 00:08:31
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the speed of the ship over the next 100 seconds, from 2025-10-08 00:06:52 to 2025-10-08 00:08:31.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:06:51 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:01:14 to 2025-10-08 00:02:18 and 2025-10-08 00:05:18 to 2025-10-08 00:06:03 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
|
<history>25.019,25.003,25.015,25.027,25.008,24.994,24.992,25.012,24.989,24.989,24.986,25.023,25.019,24.990,24.984,24.989,24.974,24.983,24.978,24.958,24.975,24.969,24.953,24.958,24.974,24.965,24.943,24.942,24.922,24.918,24.915,24.934,24.923,24.911,24.891,24.884,24.880,24.857,24.856,24.859,24.868,24.860,24.834,24.833,24.818,24.811,24.824,24.810,24.770,24.794,24.768,24.754,24.731,24.741,24.729,24.726,24.726,24.708,24.688,24.680,24.671,24.659,24.643,24.641,24.608,24.615,24.611,24.601,24.566,24.551,24.544,24.534,24.524,24.512,24.459,24.463,27.379,30.289,33.190,36.061,38.936,41.779,44.571,47.361,50.130,52.804,55.495,58.084,60.651,63.165,65.621,67.993,70.324,72.556,74.719,76.825,78.827,80.769,82.583,84.335,85.972,87.536,89.003,90.365,91.607,92.763,93.824,94.761,95.594,96.314,96.883,97.397,97.784,98.040,98.214,98.181,98.131,81.431,81.013,92.955,88.085,88.559,69.963,65.462,80.709,51.115,48.518,47.573,43.002,48.898,35.504,36.878,46.795,43.965,55.990,26.419,22.165,37.431,18.035,23.146,23.145,23.118,23.070,23.045,23.015,23.007,22.985,22.956,22.914,22.878,22.861,22.837,22.809,22.785,22.735,22.712,22.682,22.665,22.617,22.575,22.559,22.541,22.488,22.473,22.428,22.398,22.358,22.338,22.320,22.278,22.243,22.205,22.161,22.135,22.102,22.076,22.048,22.013,21.959,21.948,21.910,21.866,21.840,21.792,21.764,21.720,21.708,21.683,21.637,21.600,21.538,21.520,21.468,21.454,21.412,21.357,21.330,21.302,21.243,21.225,21.183,21.136,21.100,21.068,21.044,20.993,20.953,20.925,20.860,20.835,20.784,20.764,20.715,20.691,20.623,20.582,20.539,20.507,20.461,20.437,20.370,20.327,20.296,20.258,20.199,20.161,20.137,20.064,20.037,19.985,19.954,19.903,19.864,19.817,19.762,19.730,19.689,19.625,19.573,19.514,19.486,19.489,19.379,19.344,19.300,19.251,19.216,19.176,19.117,19.070,19.023,18.978,18.935,18.869,18.821,18.771,18.758,18.696,18.634,18.584,18.544,18.493,18.447,18.385,18.313,18.305,18.229,18.179,18.124,18.081,18.023,17.953,17.907,17.857,17.838,17.744,17.731,17.678,17.601,17.548,17.490,17.443,17.398,17.357,17.269,17.222,17.189,17.112,17.069,17.016,16.948,16.885,16.847,16.776,16.738,16.672,16.616,16.572,16.497,16.434,16.394,16.331,16.266,16.207,16.151,16.100,16.049,15.999,15.943,15.873,15.814,15.747,15.699,15.628,15.587,15.494,15.428,15.391,15.338,15.253,17.130,18.934,20.651,22.346,23.934,25.492,26.971,28.396,29.736,31.039,32.262,33.432,34.547,35.584,36.560,37.464,38.328,39.095,39.831,40.480,41.096,41.613,42.083,42.490,42.842,43.111,43.338,43.489,43.574,43.622,43.539,43.492,43.395,45.001,37.735,34.861,35.414,28.362,26.399,26.807,21.657,19.919,19.166,14.051,12.321,12.228,12.174,12.108,12.025,11.979,11.911,11.834,11.771,11.678,11.617,11.538,11.458,11.401,11.340,11.239,11.179,11.085,11.042,10.954,10.864,10.817,10.752,10.675,10.576,10.504,10.441,10.355,10.289,10.224,10.121,10.070,9.989,9.932,9.858,9.765,9.686,9.609,9.517,9.466,9.390,9.294,9.234,9.148,9.078,8.976,8.918,8.836</history>
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:06:51 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:01:14 to 2025-10-08 00:02:18 and 2025-10-08 00:05:18 to 2025-10-08 00:06:03 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
Predict the speed of the ship over the next 100 seconds, from 2025-10-08 00:06:52 to 2025-10-08 00:08:31.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template0/item1
|
GIFT synthesize
|
anomaly
|
S
|
9.803,9.726,9.650,9.574,9.499,9.424,9.349,9.274,9.200,9.126,9.052,8.979,8.905,8.833,8.760,8.688,8.616,8.544,8.473,8.402,8.331,8.261,8.190,8.121,8.051,7.982,7.913,7.844,7.776,7.708,7.640,7.573,7.505,7.439,7.372,7.306,7.240,7.174,7.108,7.044,6.979,6.914,6.850,6.900,7.177,7.683,8.415,9.376,10.564,11.980,13.623,15.495,17.593,19.920,22.474,25.256,28.265,31.502,34.967,34.908,34.849,34.791,31.888,29.131,26.521,24.056,21.738,19.566,17.541,15.661,13.928,12.341,10.899,9.605,8.456,7.453,6.597,5.887,5.323,4.905,4.633,4.581,4.529,4.477,4.425,4.374,4.323,4.272,4.222,4.171,4.122,4.072,4.023,3.974,3.925,3.877,3.829,3.782,3.734,5.005,5.727,4.954,3.721,4.902,3.230,4.453,2.337,5.812,4.586,2.779,4.374,2.733,3.876,5.277,1.000,1.957,3.378,4.665,1.512,4.634,1.669,1.492,2.479,0.882,4.444,0.906,3.905,3.317,1.097,4.667,4.634,1.155,2.778,1.868,2.236,4.100,2.154,2.118,2.083,2.048,2.012,1.978,1.944,1.910,1.876,1.843,1.810,1.777,1.744,1.712,1.680,1.649,1.618,1.587,1.556,1.526,1.496,1.466,1.436,1.407,1.378,1.350,1.322,1.294,1.266,1.239,1.212,1.185,1.158,1.132,1.106,1.081,1.055,1.030,1.006,0.981,0.957,0.933,0.910,0.887,0.864,0.841,0.819,0.797,0.775,0.754,0.733,0.712,0.692,0.671,0.651,0.632,0.612,0.594,0.575,0.557,0.538,0.521,0.503,0.486,0.469,0.452,0.436,0.420,0.404,0.389
|
2025-10-08 00:00:00
|
2025-10-08 00:03:25
|
0.374,0.359,0.344,0.330,0.316,0.303,0.290,0.276,0.264,0.251,0.239,0.227,0.216,0.205,0.194,0.183,0.173,0.163,0.153,0.144,0.135,0.126,0.117,0.109,0.101,0.093,0.086,0.079,0.072,0.066,0.060,0.054,0.048,0.043,0.038,0.033,0.029,0.025,0.021,0.018,0.015,0.012,0.009,0.007,0.005,0.004,0.002,0.001,0.000,0.000
|
2025-10-08 00:03:26
|
2025-10-08 00:04:15
|
,
| 50
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
|
<history>9.803,9.726,9.650,9.574,9.499,9.424,9.349,9.274,9.200,9.126,9.052,8.979,8.905,8.833,8.760,8.688,8.616,8.544,8.473,8.402,8.331,8.261,8.190,8.121,8.051,7.982,7.913,7.844,7.776,7.708,7.640,7.573,7.505,7.439,7.372,7.306,7.240,7.174,7.108,7.044,6.979,6.914,6.850,6.900,7.177,7.683,8.415,9.376,10.564,11.980,13.623,15.495,17.593,19.920,22.474,25.256,28.265,31.502,34.967,34.908,34.849,34.791,31.888,29.131,26.521,24.056,21.738,19.566,17.541,15.661,13.928,12.341,10.899,9.605,8.456,7.453,6.597,5.887,5.323,4.905,4.633,4.581,4.529,4.477,4.425,4.374,4.323,4.272,4.222,4.171,4.122,4.072,4.023,3.974,3.925,3.877,3.829,3.782,3.734,5.005,5.727,4.954,3.721,4.902,3.230,4.453,2.337,5.812,4.586,2.779,4.374,2.733,3.876,5.277,1.000,1.957,3.378,4.665,1.512,4.634,1.669,1.492,2.479,0.882,4.444,0.906,3.905,3.317,1.097,4.667,4.634,1.155,2.778,1.868,2.236,4.100,2.154,2.118,2.083,2.048,2.012,1.978,1.944,1.910,1.876,1.843,1.810,1.777,1.744,1.712,1.680,1.649,1.618,1.587,1.556,1.526,1.496,1.466,1.436,1.407,1.378,1.350,1.322,1.294,1.266,1.239,1.212,1.185,1.158,1.132,1.106,1.081,1.055,1.030,1.006,0.981,0.957,0.933,0.910,0.887,0.864,0.841,0.819,0.797,0.775,0.754,0.733,0.712,0.692,0.671,0.651,0.632,0.612,0.594,0.575,0.557,0.538,0.521,0.503,0.486,0.469,0.452,0.436,0.420,0.404,0.389</history>
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template1/item1
|
GIFT synthesize
|
anomaly
|
S
|
14.855,14.855,14.852,14.854,14.850,14.849,14.846,14.843,14.839,14.835,14.830,14.827,14.821,7.059,22.881,26.085,9.680,2.817,6.463,11.880,11.110,27.974,22.310,17.379,20.249,2.389,1.111,9.652,14.676,14.660,14.648,14.636,14.620,14.605,14.591,14.576,14.558,14.542,14.521,14.508,14.489,14.469,14.451,14.434,14.411,14.391,14.370,14.350,14.328,14.308,14.284,14.259,14.236,14.212,14.189,14.163,14.139,14.110,14.086,14.059,14.031,14.005,13.975,13.948,13.918,13.889,13.861,13.829,13.797,13.768,13.735,13.704,13.669,13.637,13.603,13.570,13.535,13.500,13.465,13.429,13.392,13.356,13.318,13.280,13.243,13.205,13.164,13.123,13.085,13.044,13.004,12.962,12.922,12.879,12.837,12.794,12.749,12.705,12.661,12.615,12.570,12.524,12.478,12.430,12.384,12.335,21.203,17.547,0.434,13.251,15.351,20.634,4.553,23.944,21.560,3.747,16.482,14.936,15.870,16.784,12.966,20.042,6.240,14.929,18.747,22.234,7.984,8.549,2.664,3.317,4.427,0.000,16.452,9.919,5.373,9.509,4.571,14.456,19.951,7.129,3.475,10.314,10.247,10.184,10.117,10.050,9.985,9.919,9.850,9.783,9.715,9.646,9.575,9.506,9.437,9.366,9.295,9.222,9.151,9.079,9.005,8.933,8.859,8.785,8.712,8.635,8.559,8.483,8.406,8.331,8.253,8.175,8.097,8.017,7.938,7.859,7.778,7.698,7.617,7.535,7.455,7.370,7.287,7.204,7.119,7.037,6.951,6.866,6.781,6.695,6.608,6.523,6.433,6.344,6.257,6.169,6.078,5.990,5.898,5.808,5.717,5.626,5.534,5.440,5.349,5.254
|
2025-10-08 00:00:00
|
2025-10-08 00:03:25
|
5.160,5.067,4.971,4.878,4.780,4.683,4.590,4.491,4.394,4.294,4.197,4.097,4.000,3.900,3.797,3.698,3.598,3.494,3.393,3.289,3.187,3.084,2.980,2.876,2.770,2.665,2.561,2.453,2.346,2.242,2.132,2.026,1.916,1.806,1.699,1.587,1.478,1.365,1.255,1.142,1.032,0.920,0.806,0.692,0.577,0.464,0.348,0.234,0.115,0.000
|
2025-10-08 00:03:26
|
2025-10-08 00:04:15
|
,
| 50
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
|
<history>14.855,14.855,14.852,14.854,14.850,14.849,14.846,14.843,14.839,14.835,14.830,14.827,14.821,7.059,22.881,26.085,9.680,2.817,6.463,11.880,11.110,27.974,22.310,17.379,20.249,2.389,1.111,9.652,14.676,14.660,14.648,14.636,14.620,14.605,14.591,14.576,14.558,14.542,14.521,14.508,14.489,14.469,14.451,14.434,14.411,14.391,14.370,14.350,14.328,14.308,14.284,14.259,14.236,14.212,14.189,14.163,14.139,14.110,14.086,14.059,14.031,14.005,13.975,13.948,13.918,13.889,13.861,13.829,13.797,13.768,13.735,13.704,13.669,13.637,13.603,13.570,13.535,13.500,13.465,13.429,13.392,13.356,13.318,13.280,13.243,13.205,13.164,13.123,13.085,13.044,13.004,12.962,12.922,12.879,12.837,12.794,12.749,12.705,12.661,12.615,12.570,12.524,12.478,12.430,12.384,12.335,21.203,17.547,0.434,13.251,15.351,20.634,4.553,23.944,21.560,3.747,16.482,14.936,15.870,16.784,12.966,20.042,6.240,14.929,18.747,22.234,7.984,8.549,2.664,3.317,4.427,0.000,16.452,9.919,5.373,9.509,4.571,14.456,19.951,7.129,3.475,10.314,10.247,10.184,10.117,10.050,9.985,9.919,9.850,9.783,9.715,9.646,9.575,9.506,9.437,9.366,9.295,9.222,9.151,9.079,9.005,8.933,8.859,8.785,8.712,8.635,8.559,8.483,8.406,8.331,8.253,8.175,8.097,8.017,7.938,7.859,7.778,7.698,7.617,7.535,7.455,7.370,7.287,7.204,7.119,7.037,6.951,6.866,6.781,6.695,6.608,6.523,6.433,6.344,6.257,6.169,6.078,5.990,5.898,5.808,5.717,5.626,5.534,5.440,5.349,5.254</history>
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template2/item1
|
GIFT synthesize
|
anomaly
|
S
|
24.725,24.629,24.526,24.426,24.337,24.218,24.109,24.021,23.911,23.815,23.710,23.624,23.511,23.406,23.314,23.203,23.104,23.003,22.913,22.793,22.701,22.610,22.509,22.399,22.299,22.218,22.109,22.002,14.159,30.600,25.329,20.132,17.209,14.623,30.874,13.204,26.293,19.704,24.976,18.480,14.477,27.958,12.967,14.644,26.280,27.945,13.022,11.870,24.124,20.013,20.002,21.806,26.665,22.393,19.018,23.527,28.762,24.190,22.647,10.683,18.696,24.388,26.039,18.544,11.664,10.121,13.860,10.369,9.368,16.709,14.839,12.872,26.969,7.187,21.460,26.551,16.977,24.150,19.540,10.874,17.890,19.824,17.733,20.864,18.744,16.305,16.205,16.111,16.037,15.935,15.847,15.740,15.637,15.554,15.449,15.370,15.272,15.175,15.085,14.992,14.900,14.808,14.698,14.627,14.528,14.434,14.339,14.243,14.156,14.067,13.979,13.880,13.803,13.692,13.611,13.521,13.436,13.344,13.267,13.163,16.811,20.454,24.033,27.617,31.146,34.606,38.003,41.341,44.542,47.699,50.696,53.592,56.360,58.979,61.460,63.763,65.937,67.925,69.737,71.357,72.808,74.029,75.097,75.940,76.588,77.023,77.266,77.166,77.085,77.002,76.664,75.815,74.422,72.516,70.099,67.169,63.713,59.742,55.262,50.254,44.714,38.668,32.112,25.013,17.404,9.280,9.202,9.120,9.054,8.968,8.893,8.812,8.747,8.665,8.574,8.498,8.434,8.344,8.283,8.203,8.138,8.057,7.970,7.898,7.830,7.747,7.693,7.616,7.538,7.461,7.394,7.326,7.233,7.179,7.099,7.051,6.970,6.888,6.827,6.759,6.677,6.620,6.553,6.471,6.416,6.337,6.290,6.205,6.138,6.069,6.031,5.947,5.872,5.812,5.749,5.686,5.635,5.555,5.488,5.419,5.379,5.309,5.232,5.182,5.119,5.056,5.000,4.924,4.865,4.808,4.751,4.698,4.649,4.571,4.512,4.450,4.391,4.346,4.293,4.239,4.184,4.129,4.066,4.013,3.954,3.903,3.856,3.787,3.746,3.678,3.622,3.591,3.529,3.486,3.439,3.379,3.321,3.269,3.222,3.182,3.112,3.082,3.019,2.971
|
2025-10-08 00:00:00
|
2025-10-08 00:04:23
|
2.932,2.894,2.843,2.792,2.735,2.688,2.661,2.611,2.559,2.499,2.484,2.427,2.389,2.355,2.291,2.263,2.205,2.160,2.132,2.088,2.053,2.019,1.974,1.941,1.908,1.847,1.797,1.774,1.743,1.705,1.668,1.636,1.596,1.552,1.532,1.489,1.462,1.415,1.363,1.355,1.330,1.300,1.262,1.230,1.203,1.165,1.141,1.110,1.086,1.029,1.015,1.008,0.969,0.925,0.901,0.869,0.855,0.834,0.794,0.780,0.759,0.725,0.701,0.677,0.653,0.625,0.614,0.590,0.573,0.547,0.541,0.508,0.499,0.468,0.449,0.419,0.409,0.397,0.368,0.370,0.355,0.321,0.308,0.300,0.267,0.257,0.265,0.245,0.221,0.201,0.197,0.177,0.176,0.158,0.143,0.153,0.145,0.103,0.123,0.095,0.097,0.089,0.085,0.071,0.061,0.052,0.043,0.045,0.039,0.050,0.043,0.035,0.026,0.038,0.023,0.000,0.002,0.018,0.016,0.006
|
2025-10-08 00:04:24
|
2025-10-08 00:06:23
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
|
<history>24.725,24.629,24.526,24.426,24.337,24.218,24.109,24.021,23.911,23.815,23.710,23.624,23.511,23.406,23.314,23.203,23.104,23.003,22.913,22.793,22.701,22.610,22.509,22.399,22.299,22.218,22.109,22.002,14.159,30.600,25.329,20.132,17.209,14.623,30.874,13.204,26.293,19.704,24.976,18.480,14.477,27.958,12.967,14.644,26.280,27.945,13.022,11.870,24.124,20.013,20.002,21.806,26.665,22.393,19.018,23.527,28.762,24.190,22.647,10.683,18.696,24.388,26.039,18.544,11.664,10.121,13.860,10.369,9.368,16.709,14.839,12.872,26.969,7.187,21.460,26.551,16.977,24.150,19.540,10.874,17.890,19.824,17.733,20.864,18.744,16.305,16.205,16.111,16.037,15.935,15.847,15.740,15.637,15.554,15.449,15.370,15.272,15.175,15.085,14.992,14.900,14.808,14.698,14.627,14.528,14.434,14.339,14.243,14.156,14.067,13.979,13.880,13.803,13.692,13.611,13.521,13.436,13.344,13.267,13.163,16.811,20.454,24.033,27.617,31.146,34.606,38.003,41.341,44.542,47.699,50.696,53.592,56.360,58.979,61.460,63.763,65.937,67.925,69.737,71.357,72.808,74.029,75.097,75.940,76.588,77.023,77.266,77.166,77.085,77.002,76.664,75.815,74.422,72.516,70.099,67.169,63.713,59.742,55.262,50.254,44.714,38.668,32.112,25.013,17.404,9.280,9.202,9.120,9.054,8.968,8.893,8.812,8.747,8.665,8.574,8.498,8.434,8.344,8.283,8.203,8.138,8.057,7.970,7.898,7.830,7.747,7.693,7.616,7.538,7.461,7.394,7.326,7.233,7.179,7.099,7.051,6.970,6.888,6.827,6.759,6.677,6.620,6.553,6.471,6.416,6.337,6.290,6.205,6.138,6.069,6.031,5.947,5.872,5.812,5.749,5.686,5.635,5.555,5.488,5.419,5.379,5.309,5.232,5.182,5.119,5.056,5.000,4.924,4.865,4.808,4.751,4.698,4.649,4.571,4.512,4.450,4.391,4.346,4.293,4.239,4.184,4.129,4.066,4.013,3.954,3.903,3.856,3.787,3.746,3.678,3.622,3.591,3.529,3.486,3.439,3.379,3.321,3.269,3.222,3.182,3.112,3.082,3.019,2.971</history>
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template3/item1
|
GIFT synthesize
|
anomaly
|
S
|
22.601,22.519,22.425,22.331,22.232,22.142,22.063,21.965,21.873,21.780,21.690,21.597,21.497,21.414,21.320,21.231,21.141,21.042,20.936,20.854,20.767,20.671,20.574,20.483,20.395,20.303,20.215,20.115,20.028,19.934,19.848,19.751,19.660,19.565,19.482,19.398,19.289,19.204,19.110,19.021,18.924,18.826,18.752,18.641,18.564,18.476,18.380,18.293,18.206,18.100,18.021,17.930,17.837,17.751,17.662,17.564,17.477,17.394,17.293,17.215,15.643,27.336,25.704,15.489,12.100,14.781,15.831,8.938,5.327,7.005,12.275,4.933,17.804,13.465,22.758,12.824,17.632,24.760,12.520,12.714,22.731,12.261,13.934,4.537,15.932,20.078,7.407,19.517,16.936,25.231,19.351,8.309,11.820,17.989,14.882,11.265,5.191,13.874,13.791,13.707,13.610,13.535,13.453,13.367,13.278,13.200,13.107,13.031,12.949,12.863,12.777,12.688,12.610,12.528,12.447,12.361,12.287,12.197,12.107,12.031,11.959,11.870,11.791,11.717,11.628,11.536,11.461,11.389,11.321,11.222,11.144,11.073,10.992,10.914,10.826,10.763,10.682,10.582,10.518,10.444,10.364,10.274,10.198,10.125,10.044,9.966,9.902,9.815,9.740,9.670,9.590,9.525,9.438,9.374,9.298,9.213,9.139,9.068,8.997,8.914,8.843,8.784,8.699,8.634,8.557,8.479,8.411,8.345,8.272,8.194,8.123,8.057,7.989,7.910,7.849,7.789,7.707,7.622,7.566,7.502,7.431,7.365,7.297,7.220,7.156,7.085,7.025,6.954,6.890,6.819,6.756,6.699,6.631,6.562,6.499,6.422,6.360,6.298,6.236,6.173,6.108,6.039,5.997,5.912,5.852,5.796,2.400,1.985,5.949,3.084,4.475,5.211,7.499,3.461,5.221,6.426,2.779,1.666,3.565,2.855,4.498,7.674,4.788,4.730,4.677,4.622,4.558,4.507,4.445,4.398,4.347,4.291,4.229,4.180,4.123,4.072,4.018,3.962,3.905,3.861,3.806,3.767,3.706,3.651,3.617,3.561,3.513,3.461,3.412,3.360,3.314,3.271,3.211,3.162,3.124,3.077,3.032,2.986,2.943,2.898,2.845,2.806,2.762,2.718
|
2025-10-08 00:00:00
|
2025-10-08 00:04:23
|
2.678,2.627,2.585,2.547,2.500,2.455,2.410,2.373,2.329,2.285,2.257,2.214,2.172,2.126,2.093,2.056,2.015,1.976,1.942,1.904,1.862,1.831,1.796,1.757,1.718,1.689,1.652,1.622,1.582,1.549,1.509,1.485,1.439,1.428,1.385,1.349,1.327,1.298,1.262,1.233,1.195,1.177,1.144,1.113,1.085,1.056,1.031,1.001,0.972,0.944,0.925,0.902,0.871,0.851,0.826,0.795,0.766,0.750,0.720,0.703,0.694,0.663,0.641,0.613,0.587,0.570,0.556,0.523,0.514,0.485,0.475,0.454,0.439,0.420,0.401,0.385,0.369,0.344,0.341,0.319,0.304,0.292,0.275,0.259,0.246,0.231,0.228,0.204,0.201,0.176,0.172,0.165,0.146,0.136,0.122,0.130,0.106,0.098,0.108,0.083,0.069,0.070,0.073,0.059,0.047,0.040,0.046,0.035,0.023,0.021,0.018,0.013,0.018,0.009,0.008,0.011,0.003,0.006,0.000,0.007
|
2025-10-08 00:04:24
|
2025-10-08 00:06:23
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
|
<history>22.601,22.519,22.425,22.331,22.232,22.142,22.063,21.965,21.873,21.780,21.690,21.597,21.497,21.414,21.320,21.231,21.141,21.042,20.936,20.854,20.767,20.671,20.574,20.483,20.395,20.303,20.215,20.115,20.028,19.934,19.848,19.751,19.660,19.565,19.482,19.398,19.289,19.204,19.110,19.021,18.924,18.826,18.752,18.641,18.564,18.476,18.380,18.293,18.206,18.100,18.021,17.930,17.837,17.751,17.662,17.564,17.477,17.394,17.293,17.215,15.643,27.336,25.704,15.489,12.100,14.781,15.831,8.938,5.327,7.005,12.275,4.933,17.804,13.465,22.758,12.824,17.632,24.760,12.520,12.714,22.731,12.261,13.934,4.537,15.932,20.078,7.407,19.517,16.936,25.231,19.351,8.309,11.820,17.989,14.882,11.265,5.191,13.874,13.791,13.707,13.610,13.535,13.453,13.367,13.278,13.200,13.107,13.031,12.949,12.863,12.777,12.688,12.610,12.528,12.447,12.361,12.287,12.197,12.107,12.031,11.959,11.870,11.791,11.717,11.628,11.536,11.461,11.389,11.321,11.222,11.144,11.073,10.992,10.914,10.826,10.763,10.682,10.582,10.518,10.444,10.364,10.274,10.198,10.125,10.044,9.966,9.902,9.815,9.740,9.670,9.590,9.525,9.438,9.374,9.298,9.213,9.139,9.068,8.997,8.914,8.843,8.784,8.699,8.634,8.557,8.479,8.411,8.345,8.272,8.194,8.123,8.057,7.989,7.910,7.849,7.789,7.707,7.622,7.566,7.502,7.431,7.365,7.297,7.220,7.156,7.085,7.025,6.954,6.890,6.819,6.756,6.699,6.631,6.562,6.499,6.422,6.360,6.298,6.236,6.173,6.108,6.039,5.997,5.912,5.852,5.796,2.400,1.985,5.949,3.084,4.475,5.211,7.499,3.461,5.221,6.426,2.779,1.666,3.565,2.855,4.498,7.674,4.788,4.730,4.677,4.622,4.558,4.507,4.445,4.398,4.347,4.291,4.229,4.180,4.123,4.072,4.018,3.962,3.905,3.861,3.806,3.767,3.706,3.651,3.617,3.561,3.513,3.461,3.412,3.360,3.314,3.271,3.211,3.162,3.124,3.077,3.032,2.986,2.943,2.898,2.845,2.806,2.762,2.718</history>
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template4/item1
|
GIFT synthesize
|
anomaly
|
S
|
25.019,25.003,25.015,25.027,25.008,24.994,24.992,25.012,24.989,24.989,24.986,25.023,25.019,24.990,24.984,24.989,24.974,24.983,24.978,24.958,24.975,24.969,24.953,24.958,24.974,24.965,24.943,24.942,24.922,24.918,24.915,24.934,24.923,24.911,24.891,24.884,24.880,24.857,24.856,24.859,24.868,24.860,24.834,24.833,24.818,24.811,24.824,24.810,24.770,24.794,24.768,24.754,24.731,24.741,24.729,24.726,24.726,24.708,24.688,24.680,24.671,24.659,24.643,24.641,24.608,24.615,24.611,24.601,24.566,24.551,24.544,24.534,24.524,24.512,24.459,24.463,27.379,30.289,33.190,36.061,38.936,41.779,44.571,47.361,50.130,52.804,55.495,58.084,60.651,63.165,65.621,67.993,70.324,72.556,74.719,76.825,78.827,80.769,82.583,84.335,85.972,87.536,89.003,90.365,91.607,92.763,93.824,94.761,95.594,96.314,96.883,97.397,97.784,98.040,98.214,98.181,98.131,81.431,81.013,92.955,88.085,88.559,69.963,65.462,80.709,51.115,48.518,47.573,43.002,48.898,35.504,36.878,46.795,43.965,55.990,26.419,22.165,37.431,18.035,23.146,23.145,23.118,23.070,23.045,23.015,23.007,22.985,22.956,22.914,22.878,22.861,22.837,22.809,22.785,22.735,22.712,22.682,22.665,22.617,22.575,22.559,22.541,22.488,22.473,22.428,22.398,22.358,22.338,22.320,22.278,22.243,22.205,22.161,22.135,22.102,22.076,22.048,22.013,21.959,21.948,21.910,21.866,21.840,21.792,21.764,21.720,21.708,21.683,21.637,21.600,21.538,21.520,21.468,21.454,21.412,21.357,21.330,21.302,21.243,21.225,21.183,21.136,21.100,21.068,21.044,20.993,20.953,20.925,20.860,20.835,20.784,20.764,20.715,20.691,20.623,20.582,20.539,20.507,20.461,20.437,20.370,20.327,20.296,20.258,20.199,20.161,20.137,20.064,20.037,19.985,19.954,19.903,19.864,19.817,19.762,19.730,19.689,19.625,19.573,19.514,19.486,19.489,19.379,19.344,19.300,19.251,19.216,19.176,19.117,19.070,19.023,18.978,18.935,18.869,18.821,18.771,18.758,18.696,18.634,18.584,18.544,18.493,18.447,18.385,18.313,18.305,18.229,18.179,18.124,18.081,18.023,17.953,17.907,17.857,17.838,17.744,17.731,17.678,17.601,17.548,17.490,17.443,17.398,17.357,17.269,17.222,17.189,17.112,17.069,17.016,16.948,16.885,16.847,16.776,16.738,16.672,16.616,16.572,16.497,16.434,16.394,16.331,16.266,16.207,16.151,16.100,16.049,15.999,15.943,15.873,15.814,15.747,15.699,15.628,15.587,15.494,15.428,15.391,15.338,15.253,17.130,18.934,20.651,22.346,23.934,25.492,26.971,28.396,29.736,31.039,32.262,33.432,34.547,35.584,36.560,37.464,38.328,39.095,39.831,40.480,41.096,41.613,42.083,42.490,42.842,43.111,43.338,43.489,43.574,43.622,43.539,43.492,43.395,45.001,37.735,34.861,35.414,28.362,26.399,26.807,21.657,19.919,19.166,14.051,12.321,12.228,12.174,12.108,12.025,11.979,11.911,11.834,11.771,11.678,11.617,11.538,11.458,11.401,11.340,11.239,11.179,11.085,11.042,10.954,10.864,10.817,10.752,10.675,10.576,10.504,10.441,10.355,10.289,10.224,10.121,10.070,9.989,9.932,9.858,9.765,9.686,9.609,9.517,9.466,9.390,9.294,9.234,9.148,9.078,8.976,8.918,8.836
|
2025-10-08 00:00:00
|
2025-10-08 00:06:51
|
8.758,8.684,8.607,8.512,8.437,8.364,8.294,8.186,8.113,8.022,7.972,7.877,7.798,7.710,7.626,7.536,7.458,7.389,7.294,7.214,7.139,7.060,6.976,6.877,6.819,6.701,6.640,6.564,6.471,6.379,6.288,6.214,6.123,6.048,5.946,5.871,5.796,5.688,5.625,5.540,5.436,5.358,5.259,5.160,5.098,4.997,4.939,4.832,4.735,4.643,4.559,4.494,4.382,4.291,4.207,4.128,4.041,3.928,3.835,3.774,3.667,3.594,3.502,3.419,3.308,3.229,3.124,3.037,2.948,2.827,2.766,2.668,2.544,2.485,2.391,2.293,2.195,2.087,2.012,1.904,1.835,1.729,1.631,1.532,1.426,1.337,1.261,1.167,1.062,0.974,0.877,0.770,0.679,0.593,0.506,0.405,0.284,0.214,0.101,0.000
|
2025-10-08 00:06:52
|
2025-10-08 00:08:31
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the speed of the ship over the next 100 seconds, from 2025-10-08 00:06:52 to 2025-10-08 00:08:31.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:06:51 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
|
<history>25.019,25.003,25.015,25.027,25.008,24.994,24.992,25.012,24.989,24.989,24.986,25.023,25.019,24.990,24.984,24.989,24.974,24.983,24.978,24.958,24.975,24.969,24.953,24.958,24.974,24.965,24.943,24.942,24.922,24.918,24.915,24.934,24.923,24.911,24.891,24.884,24.880,24.857,24.856,24.859,24.868,24.860,24.834,24.833,24.818,24.811,24.824,24.810,24.770,24.794,24.768,24.754,24.731,24.741,24.729,24.726,24.726,24.708,24.688,24.680,24.671,24.659,24.643,24.641,24.608,24.615,24.611,24.601,24.566,24.551,24.544,24.534,24.524,24.512,24.459,24.463,27.379,30.289,33.190,36.061,38.936,41.779,44.571,47.361,50.130,52.804,55.495,58.084,60.651,63.165,65.621,67.993,70.324,72.556,74.719,76.825,78.827,80.769,82.583,84.335,85.972,87.536,89.003,90.365,91.607,92.763,93.824,94.761,95.594,96.314,96.883,97.397,97.784,98.040,98.214,98.181,98.131,81.431,81.013,92.955,88.085,88.559,69.963,65.462,80.709,51.115,48.518,47.573,43.002,48.898,35.504,36.878,46.795,43.965,55.990,26.419,22.165,37.431,18.035,23.146,23.145,23.118,23.070,23.045,23.015,23.007,22.985,22.956,22.914,22.878,22.861,22.837,22.809,22.785,22.735,22.712,22.682,22.665,22.617,22.575,22.559,22.541,22.488,22.473,22.428,22.398,22.358,22.338,22.320,22.278,22.243,22.205,22.161,22.135,22.102,22.076,22.048,22.013,21.959,21.948,21.910,21.866,21.840,21.792,21.764,21.720,21.708,21.683,21.637,21.600,21.538,21.520,21.468,21.454,21.412,21.357,21.330,21.302,21.243,21.225,21.183,21.136,21.100,21.068,21.044,20.993,20.953,20.925,20.860,20.835,20.784,20.764,20.715,20.691,20.623,20.582,20.539,20.507,20.461,20.437,20.370,20.327,20.296,20.258,20.199,20.161,20.137,20.064,20.037,19.985,19.954,19.903,19.864,19.817,19.762,19.730,19.689,19.625,19.573,19.514,19.486,19.489,19.379,19.344,19.300,19.251,19.216,19.176,19.117,19.070,19.023,18.978,18.935,18.869,18.821,18.771,18.758,18.696,18.634,18.584,18.544,18.493,18.447,18.385,18.313,18.305,18.229,18.179,18.124,18.081,18.023,17.953,17.907,17.857,17.838,17.744,17.731,17.678,17.601,17.548,17.490,17.443,17.398,17.357,17.269,17.222,17.189,17.112,17.069,17.016,16.948,16.885,16.847,16.776,16.738,16.672,16.616,16.572,16.497,16.434,16.394,16.331,16.266,16.207,16.151,16.100,16.049,15.999,15.943,15.873,15.814,15.747,15.699,15.628,15.587,15.494,15.428,15.391,15.338,15.253,17.130,18.934,20.651,22.346,23.934,25.492,26.971,28.396,29.736,31.039,32.262,33.432,34.547,35.584,36.560,37.464,38.328,39.095,39.831,40.480,41.096,41.613,42.083,42.490,42.842,43.111,43.338,43.489,43.574,43.622,43.539,43.492,43.395,45.001,37.735,34.861,35.414,28.362,26.399,26.807,21.657,19.919,19.166,14.051,12.321,12.228,12.174,12.108,12.025,11.979,11.911,11.834,11.771,11.678,11.617,11.538,11.458,11.401,11.340,11.239,11.179,11.085,11.042,10.954,10.864,10.817,10.752,10.675,10.576,10.504,10.441,10.355,10.289,10.224,10.121,10.070,9.989,9.932,9.858,9.765,9.686,9.609,9.517,9.466,9.390,9.294,9.234,9.148,9.078,8.976,8.918,8.836</history>
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:06:51 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
Predict the speed of the ship over the next 100 seconds, from 2025-10-08 00:06:52 to 2025-10-08 00:08:31.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template0/item0
|
GIFT synthesize
|
phase_change
|
T
|
77.654,77.762,77.828,77.907,77.965,78.006,78.028,78.038,78.034,77.996,77.968,77.895,77.833,77.744,77.637,77.518,77.377,77.225,77.064,76.874,76.690,76.483,76.267,76.036,75.807,75.565,75.310,75.042,74.766,74.498,74.211,73.944,73.645,73.353,73.079,72.792,72.495,72.220,71.943,71.668,71.395,71.123,70.875,70.623,70.382,70.156,69.937,69.732,69.522,69.334,69.163,69.005,68.853,68.721,68.595,68.487,68.389,68.304,68.232,68.188,68.142,68.114,68.081,68.084,68.092,68.100,68.139,68.178,68.209,68.284,68.323,68.410,68.481,68.558,68.653,68.743,68.828,68.933,69.036,69.139,69.251,69.343,69.450,69.562,69.653,69.749,69.847,69.932,70.032,70.097,70.184,70.250,70.316,70.376,70.434,70.497,70.526,70.556,70.588,70.610,70.624,70.648,70.656,70.659,70.652,70.645,70.643,70.634,70.615,70.592,70.574,70.547,70.535,70.512,70.498,70.478,70.462,70.458,70.458,70.444,70.452,70.449,70.461,70.496,70.517,70.546,70.596,70.650,70.695,70.774,70.854,70.934,71.041,71.144,71.251,71.381,71.513,71.671,71.819,71.986,72.161,72.341,72.524,87.672,101.354,112.258,119.343,119.558,116.206,114.300,114.516,114.754,114.990,115.211,115.436,115.668,115.891,116.109,116.321,116.530,116.729,116.925,117.109,117.291,117.445,117.611,117.745,117.883,117.994,118.110,118.186,118.268,118.331,118.368,118.394,118.404,118.399,118.372,118.338,118.276,118.211,118.110,118.020,117.895,117.756,117.605,117.441,117.257,117.066,116.861,116.644,116.420,116.187,115.937,115.679,115.419,115.147,114.862,114.579,114.299,114.010,113.728,113.440,113.154,112.855,112.565,112.300,112.017,111.753,111.477,111.219,110.973,110.729,110.491,110.277,110.065,109.875,109.674,109.507,109.336,109.188,109.051,108.926,108.811,108.709,108.617,108.538,108.484,108.446,108.416,108.392,108.391,108.389,108.386,108.411,108.461,108.489,108.538,108.612,108.686,108.752,108.827,108.906,109.013,109.093,109.190,109.285,109.389,109.493,109.585,109.694,109.801,109.890,109.977,110.072,110.160,110.248,110.341,110.406,110.476,110.542,110.593,110.669,110.713,110.762,110.789,110.820,110.862,110.876,110.887,110.900,110.909,110.909,110.907,110.893,110.895,110.882,110.873,110.849,110.841,110.818,110.812,110.805,110.779,110.770,110.768,110.772,110.765,110.771,110.788,110.791,110.820,110.837,110.880,110.933,110.974,111.042,111.104,111.190,111.274,111.366,111.471,111.584,111.705,111.841,111.986,112.135,112.288,112.455,112.633,112.809,113.002,113.189,113.398,113.594,113.804,114.022,114.232,114.455,114.682,114.895,115.119,115.335,115.550,115.778,115.970,116.188,116.386,116.576,116.764,116.944,117.114,117.276,117.429,117.557,117.685,117.795,117.901,117.993,118.056,118.118,118.167,118.184,118.212,118.197,118.171,118.141,118.096,118.030,117.939,117.841,117.725,117.598,117.467,117.314,117.147,116.964,116.773,116.555,116.346,116.119,115.880,115.635,115.382,115.127,114.869,114.595,114.321,114.049,113.776,113.502,113.221,112.938,112.665,112.401,112.131,111.876,111.609,111.356,111.120,110.893,110.658,110.444,110.242,110.037,109.851,109.674,109.514,109.370,109.229,109.101,108.985
|
2025-10-08 00:00:00
|
2025-10-08 06:31:00
|
108.888,108.801,108.730,108.669,108.616,108.575,108.554,108.537,108.520,108.537,108.556,108.596,108.620,108.669,108.724,108.789,108.847,108.926,109.006,109.092,109.181,109.265,109.357,109.459,109.555,109.651,109.753,109.842,109.933,110.025,110.119,110.208,110.283,110.365,110.448,110.520,110.592,110.629,110.694,110.750,110.796,110.829,110.868,110.905,110.916,110.935,110.944,110.969,110.961,110.968,110.950,110.946,110.955,110.929,110.920,110.900,110.889,110.872,110.863,110.841,110.840,110.821,110.826,110.822,110.825,110.829,110.834,110.856,110.889,110.913,110.953,110.988,111.051,111.121,111.186,111.253,111.348,111.437,111.542,111.661,111.788,111.912,112.061,112.215,112.371,112.541,112.722,112.890,113.073,113.273,113.455,113.662,113.878,114.090,114.301,114.516,114.732,114.951,115.171,115.384,115.595,115.807,116.012,116.212,116.401,116.585,116.767,116.940,117.101,117.260,117.391,117.515,117.645,117.746,117.833,117.915,117.991,118.028,118.073,118.085
|
2025-10-08 06:32:00
|
2025-10-08 08:31:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the traffic in the next 60 minutes, from 2025-10-08 06:32:00 to 2025-10-08 07:31:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 06:31:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-08 02:21:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
|
<history>77.654,77.762,77.828,77.907,77.965,78.006,78.028,78.038,78.034,77.996,77.968,77.895,77.833,77.744,77.637,77.518,77.377,77.225,77.064,76.874,76.690,76.483,76.267,76.036,75.807,75.565,75.310,75.042,74.766,74.498,74.211,73.944,73.645,73.353,73.079,72.792,72.495,72.220,71.943,71.668,71.395,71.123,70.875,70.623,70.382,70.156,69.937,69.732,69.522,69.334,69.163,69.005,68.853,68.721,68.595,68.487,68.389,68.304,68.232,68.188,68.142,68.114,68.081,68.084,68.092,68.100,68.139,68.178,68.209,68.284,68.323,68.410,68.481,68.558,68.653,68.743,68.828,68.933,69.036,69.139,69.251,69.343,69.450,69.562,69.653,69.749,69.847,69.932,70.032,70.097,70.184,70.250,70.316,70.376,70.434,70.497,70.526,70.556,70.588,70.610,70.624,70.648,70.656,70.659,70.652,70.645,70.643,70.634,70.615,70.592,70.574,70.547,70.535,70.512,70.498,70.478,70.462,70.458,70.458,70.444,70.452,70.449,70.461,70.496,70.517,70.546,70.596,70.650,70.695,70.774,70.854,70.934,71.041,71.144,71.251,71.381,71.513,71.671,71.819,71.986,72.161,72.341,72.524,87.672,101.354,112.258,119.343,119.558,116.206,114.300,114.516,114.754,114.990,115.211,115.436,115.668,115.891,116.109,116.321,116.530,116.729,116.925,117.109,117.291,117.445,117.611,117.745,117.883,117.994,118.110,118.186,118.268,118.331,118.368,118.394,118.404,118.399,118.372,118.338,118.276,118.211,118.110,118.020,117.895,117.756,117.605,117.441,117.257,117.066,116.861,116.644,116.420,116.187,115.937,115.679,115.419,115.147,114.862,114.579,114.299,114.010,113.728,113.440,113.154,112.855,112.565,112.300,112.017,111.753,111.477,111.219,110.973,110.729,110.491,110.277,110.065,109.875,109.674,109.507,109.336,109.188,109.051,108.926,108.811,108.709,108.617,108.538,108.484,108.446,108.416,108.392,108.391,108.389,108.386,108.411,108.461,108.489,108.538,108.612,108.686,108.752,108.827,108.906,109.013,109.093,109.190,109.285,109.389,109.493,109.585,109.694,109.801,109.890,109.977,110.072,110.160,110.248,110.341,110.406,110.476,110.542,110.593,110.669,110.713,110.762,110.789,110.820,110.862,110.876,110.887,110.900,110.909,110.909,110.907,110.893,110.895,110.882,110.873,110.849,110.841,110.818,110.812,110.805,110.779,110.770,110.768,110.772,110.765,110.771,110.788,110.791,110.820,110.837,110.880,110.933,110.974,111.042,111.104,111.190,111.274,111.366,111.471,111.584,111.705,111.841,111.986,112.135,112.288,112.455,112.633,112.809,113.002,113.189,113.398,113.594,113.804,114.022,114.232,114.455,114.682,114.895,115.119,115.335,115.550,115.778,115.970,116.188,116.386,116.576,116.764,116.944,117.114,117.276,117.429,117.557,117.685,117.795,117.901,117.993,118.056,118.118,118.167,118.184,118.212,118.197,118.171,118.141,118.096,118.030,117.939,117.841,117.725,117.598,117.467,117.314,117.147,116.964,116.773,116.555,116.346,116.119,115.880,115.635,115.382,115.127,114.869,114.595,114.321,114.049,113.776,113.502,113.221,112.938,112.665,112.401,112.131,111.876,111.609,111.356,111.120,110.893,110.658,110.444,110.242,110.037,109.851,109.674,109.514,109.370,109.229,109.101,108.985</history>
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 06:31:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-08 02:21:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
Forecast the traffic in the next 120 minutes, from 2025-10-08 06:32:00 to 2025-10-08 08:31:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template1/item0
|
GIFT synthesize
|
phase_change
|
T
|
68.053,68.926,69.960,70.767,71.759,72.654,73.574,74.416,75.519,76.349,77.080,78.196,79.100,79.992,80.814,81.800,82.737,83.573,84.510,77.766,91.244,80.127,90.677,92.271,118.547,112.877,131.736,129.781,163.114,171.774,172.543,173.655,174.529,175.434,176.341,177.292,178.193,178.956,179.852,180.755,181.665,182.599,183.391,184.362,185.161,185.972,186.982,188.023,188.751,189.677,190.609,191.363,192.185,193.017,194.081,194.813,195.660,196.618,197.472,198.321,199.115,199.987,200.867,201.706,202.492,203.389,204.233,205.065,205.884,206.765,207.558,208.445,209.168,210.041,210.928,211.502,212.541,213.374,214.210,215.054,215.920,216.675,217.372,218.154,219.086,219.842,220.577,221.269,222.091,223.012,223.723,224.497,225.222,226.035,226.882,227.598,228.228,229.230,229.923,230.639,231.376,232.020,232.745,233.708,234.445,235.082,235.827,236.471,237.373,237.921,238.686,239.338,240.199,240.875,241.477,242.133,243.019,243.582,244.249,245.062,245.747,246.318,246.999,247.650,248.458,249.003,249.784,250.327,250.741,251.701,252.370,253.007,253.594,254.275,254.917,255.459,256.005,256.710,257.281,257.881,258.330,259.029,259.742,260.279,260.835,261.332,261.907,262.555,263.119,263.567,264.316,264.771,265.419,265.958,266.516,266.987
|
2025-10-08 00:00:00
|
2025-10-08 02:35:00
|
267.538,268.021,268.490,269.075,269.740,269.942,270.606,271.150,271.551,272.099,272.531,273.050,273.462,274.058,274.527,274.877,275.350,275.774,276.286,276.668,277.149,277.609,277.904,278.414,278.745,279.066,279.567,279.940,280.474,280.820,281.170,281.553,281.848,282.329,282.696,282.947,283.555,283.693,284.212,284.419,284.715,285.048,285.413,285.682,285.900,286.313,286.729,286.920,287.269,287.415,287.759,288.048,288.259,288.650,288.784,289.117,289.373,289.516,289.930,289.983,290.459,290.547,290.794,290.915,291.124,291.298,291.586,291.650,291.916,292.129,292.189,292.315,292.539,292.810,292.929,292.960,293.223,293.225,293.416,293.613,293.620,293.664,293.793,293.993,294.041,294.175,294.062,294.408,294.363,294.405,294.431,294.430,294.800,294.612,294.594,294.683,294.596,294.767,294.699,294.917
|
2025-10-08 02:36:00
|
2025-10-08 04:15:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the traffic in the next 60 minutes, from 2025-10-08 02:36:00 to 2025-10-08 03:35:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 02:35:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-08 00:18:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
|
<history>68.053,68.926,69.960,70.767,71.759,72.654,73.574,74.416,75.519,76.349,77.080,78.196,79.100,79.992,80.814,81.800,82.737,83.573,84.510,77.766,91.244,80.127,90.677,92.271,118.547,112.877,131.736,129.781,163.114,171.774,172.543,173.655,174.529,175.434,176.341,177.292,178.193,178.956,179.852,180.755,181.665,182.599,183.391,184.362,185.161,185.972,186.982,188.023,188.751,189.677,190.609,191.363,192.185,193.017,194.081,194.813,195.660,196.618,197.472,198.321,199.115,199.987,200.867,201.706,202.492,203.389,204.233,205.065,205.884,206.765,207.558,208.445,209.168,210.041,210.928,211.502,212.541,213.374,214.210,215.054,215.920,216.675,217.372,218.154,219.086,219.842,220.577,221.269,222.091,223.012,223.723,224.497,225.222,226.035,226.882,227.598,228.228,229.230,229.923,230.639,231.376,232.020,232.745,233.708,234.445,235.082,235.827,236.471,237.373,237.921,238.686,239.338,240.199,240.875,241.477,242.133,243.019,243.582,244.249,245.062,245.747,246.318,246.999,247.650,248.458,249.003,249.784,250.327,250.741,251.701,252.370,253.007,253.594,254.275,254.917,255.459,256.005,256.710,257.281,257.881,258.330,259.029,259.742,260.279,260.835,261.332,261.907,262.555,263.119,263.567,264.316,264.771,265.419,265.958,266.516,266.987</history>
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 02:35:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-08 00:18:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
Forecast the traffic in the next 100 minutes, from 2025-10-08 02:36:00 to 2025-10-08 04:15:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template2/item0
|
GIFT synthesize
|
phase_change
|
T
|
839.369,839.962,839.635,839.073,840.792,840.751,840.934,841.664,842.197,843.010,843.798,844.340,844.058,844.253,845.586,847.898,848.810,849.538,850.354,852.393,852.730,855.023,855.471,857.165,858.009,861.504,862.577,863.183,864.985,865.705,867.764,869.301,872.618,873.412,876.242,878.893,881.787,882.464,886.978,887.783,890.065,893.244,895.071,898.486,901.115,902.734,905.342,909.497,911.959,916.117,917.433,921.697,926.290,928.983,930.579,936.438,939.699,942.749,946.765,950.916,953.357,956.630,961.269,964.614,971.300,972.786,977.687,981.687,986.424,990.274,993.985,998.828,4047.388,4052.854,3811.941,3622.621,3488.382,3412.934,3416.565,3420.632,3428.319,3431.394,3436.927,3443.022,3448.990,3453.897,3458.255,3464.599,3469.983,3476.438,3481.010,3486.907,3492.899,3497.735,3503.116,3510.956,3514.773,3523.187,3528.011,3535.357,3540.916,3545.893,3553.087,3560.170,3565.943,3572.171,3578.728,3585.983,3593.828,3600.563,3606.403,3613.387,3620.360,3628.073,3635.997,3643.275,3650.141,3657.452,3664.197,3671.595,3679.893,3686.457,3695.220,3702.278,3710.154,3718.785,3727.284,3733.017,3742.956,3748.855,3758.933,3765.502,3774.712,3783.439,3793.143,3800.039,3808.668,3816.922,3826.059,3835.248,3844.104,3851.039,3860.416,3870.923,3878.987,3887.221,3898.146,3907.072,3917.356,3924.003,3936.006,3944.308,3953.054,3964.273,3973.756,3983.577
|
2025-10-07 00:00:00
|
2025-10-07 02:35:00
|
3994.128,4003.133,4012.559,4022.494,4032.639,4041.298,4053.421,4063.813,4073.915,4085.908,4093.861,4105.931,4114.733,4125.447,4136.539,4147.525,4157.829,4168.897,4179.532,4191.485,4201.494,4213.780,4224.946,4236.837,4247.864,4259.014,4270.655,4282.067,4294.219,4304.726,4317.657,4327.532,4340.921,4350.448,4364.567,4375.231,4387.840,4400.421,4412.460,4424.807,4438.029,4450.032,4460.880,4474.630,4487.221,4499.103,4513.366,4527.003,4538.316,4549.703,4563.289,4577.662,4589.928,4602.238,4615.946,4629.953,4643.305,4657.410,4670.728,4683.666,4697.591,4710.928,4724.250,4738.912,4753.005,4765.955,4780.739,4793.227,4809.069,4822.170,4837.003,4850.029,4864.305,4878.879,4894.315,4909.156,4924.010,4938.444,4954.433,4968.283,4983.676,4997.080,5011.821,5026.396,5042.241,5056.915,5072.436,5087.657,5103.338,5118.545,5133.531,5149.272,5165.934,5181.901,5196.545,5213.904,5228.768,5243.809,5260.290,5275.458
|
2025-10-07 02:36:00
|
2025-10-07 04:15:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the traffic in the next 60 minutes, from 2025-10-07 02:36:00 to 2025-10-07 03:35:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 02:35:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-07 01:10:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
|
<history>839.369,839.962,839.635,839.073,840.792,840.751,840.934,841.664,842.197,843.010,843.798,844.340,844.058,844.253,845.586,847.898,848.810,849.538,850.354,852.393,852.730,855.023,855.471,857.165,858.009,861.504,862.577,863.183,864.985,865.705,867.764,869.301,872.618,873.412,876.242,878.893,881.787,882.464,886.978,887.783,890.065,893.244,895.071,898.486,901.115,902.734,905.342,909.497,911.959,916.117,917.433,921.697,926.290,928.983,930.579,936.438,939.699,942.749,946.765,950.916,953.357,956.630,961.269,964.614,971.300,972.786,977.687,981.687,986.424,990.274,993.985,998.828,4047.388,4052.854,3811.941,3622.621,3488.382,3412.934,3416.565,3420.632,3428.319,3431.394,3436.927,3443.022,3448.990,3453.897,3458.255,3464.599,3469.983,3476.438,3481.010,3486.907,3492.899,3497.735,3503.116,3510.956,3514.773,3523.187,3528.011,3535.357,3540.916,3545.893,3553.087,3560.170,3565.943,3572.171,3578.728,3585.983,3593.828,3600.563,3606.403,3613.387,3620.360,3628.073,3635.997,3643.275,3650.141,3657.452,3664.197,3671.595,3679.893,3686.457,3695.220,3702.278,3710.154,3718.785,3727.284,3733.017,3742.956,3748.855,3758.933,3765.502,3774.712,3783.439,3793.143,3800.039,3808.668,3816.922,3826.059,3835.248,3844.104,3851.039,3860.416,3870.923,3878.987,3887.221,3898.146,3907.072,3917.356,3924.003,3936.006,3944.308,3953.054,3964.273,3973.756,3983.577</history>
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 02:35:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-07 01:10:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
Forecast the traffic in the next 100 minutes, from 2025-10-07 02:36:00 to 2025-10-07 04:15:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template3/item0
|
GIFT synthesize
|
phase_change
|
T
|
37.204,41.912,39.814,41.331,42.088,39.806,39.569,39.479,38.919,39.672,41.326,37.546,39.696,40.254,37.513,38.159,38.008,39.111,37.615,42.954,36.072,40.517,38.212,38.164,39.842,37.556,38.825,37.838,35.959,38.227,38.894,36.296,36.495,38.780,39.853,37.793,41.394,37.853,40.613,36.270,41.814,38.814,40.785,38.964,41.513,40.596,41.114,41.148,42.785,39.983,41.000,41.584,43.984,41.011,40.616,40.966,39.021,41.730,41.188,41.320,40.801,44.576,47.522,44.397,44.079,43.020,40.913,43.094,42.343,44.015,40.708,41.960,41.513,44.596,44.124,44.724,41.048,42.336,42.681,42.053,40.576,43.350,40.198,42.399,42.310,43.186,40.352,41.223,44.467,40.903,41.727,39.347,40.156,39.814,41.148,39.781,37.043,35.052,38.461,38.413,38.824,36.271,39.407,35.339,37.634,35.481,37.583,40.876,42.942,55.016,70.633,70.696,70.665,70.194,70.710,70.520,70.332,68.059,66.338,65.131,67.891,66.383,68.859,66.204,69.896,67.605,70.287,66.829,68.761,70.168,66.666,67.421,63.719,66.559,66.060,68.546,65.380,67.015,67.568,69.518,69.491,69.225,64.194,66.768,68.183,67.625,70.714,69.967,66.889,64.195,66.522,67.031,64.667,67.581,68.359,68.341,70.956,70.939,71.571,69.707,69.258,71.194,69.691,70.751,69.490,73.173,72.659,68.454,71.010,68.406,76.750,69.662,71.386,69.788,72.498,70.159,68.589,71.034,68.742,70.678,69.269,72.647,69.281,71.094,69.109,73.426,67.535,71.264,68.953,67.251,71.768,71.921,71.871,71.851,71.632,69.452,71.255,70.552,66.821,71.678,69.169,64.694,65.911,66.444,67.837,66.292,66.204,68.750,67.365,66.762,63.921,64.456,68.935,65.545,67.064,65.061,70.330,68.825,69.569,68.535,67.105,69.261,68.755,65.682,66.567,65.423,65.763,64.840,69.746,64.453,68.090,67.135,68.582,66.649
|
2025-10-07 00:00:00
|
2025-10-07 03:53:00
|
67.449,65.518,65.362,67.953,65.799,69.032,65.316,66.867,65.960,63.276,65.160,65.845,65.289,67.250,66.616,62.850,63.838,65.608,63.881,63.926,66.464,68.056,63.506,63.544,67.801,62.989,63.676,67.576,68.191,65.886,65.060,68.352,70.082,65.625,65.607,66.160,67.628,68.129,69.362,68.148,70.945,67.924,66.895,68.869,68.228,69.583,69.694,68.015,68.734,68.109,66.590,64.649,67.222,65.942,68.766,63.185,69.605,67.359,66.685,68.439,68.569,67.112,68.130,67.123,66.870,65.728,65.987,65.236,67.307,65.245,62.307,64.746,65.580,67.556,63.969,64.316,61.003,65.163,62.067,65.172,60.627,62.797,63.267,63.958,61.734,63.736,64.663,62.474,63.821,64.852,66.415,65.504,64.225,62.879,65.484,62.773,63.620,62.227,62.275,62.951,62.121,63.336,62.481,64.575,64.810,64.298,61.784,65.708,61.840,62.703,60.886,62.897,59.100,58.573,60.741,61.996,59.333,57.795,61.603,61.340,60.787,61.864,64.302,58.749,63.428,62.052,60.196,62.701,62.492,60.326,61.190,64.057,61.127,64.261,63.931,65.853,66.948,65.115,63.284,62.532,64.555,65.435,64.657,64.929,66.674,65.638,65.061,65.069,66.029,65.300
|
2025-10-07 03:54:00
|
2025-10-07 06:23:00
|
,
| 150
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the traffic in the next 60 minutes, from 2025-10-07 03:54:00 to 2025-10-07 04:53:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 03:53:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-07 01:46:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
|
<history>37.204,41.912,39.814,41.331,42.088,39.806,39.569,39.479,38.919,39.672,41.326,37.546,39.696,40.254,37.513,38.159,38.008,39.111,37.615,42.954,36.072,40.517,38.212,38.164,39.842,37.556,38.825,37.838,35.959,38.227,38.894,36.296,36.495,38.780,39.853,37.793,41.394,37.853,40.613,36.270,41.814,38.814,40.785,38.964,41.513,40.596,41.114,41.148,42.785,39.983,41.000,41.584,43.984,41.011,40.616,40.966,39.021,41.730,41.188,41.320,40.801,44.576,47.522,44.397,44.079,43.020,40.913,43.094,42.343,44.015,40.708,41.960,41.513,44.596,44.124,44.724,41.048,42.336,42.681,42.053,40.576,43.350,40.198,42.399,42.310,43.186,40.352,41.223,44.467,40.903,41.727,39.347,40.156,39.814,41.148,39.781,37.043,35.052,38.461,38.413,38.824,36.271,39.407,35.339,37.634,35.481,37.583,40.876,42.942,55.016,70.633,70.696,70.665,70.194,70.710,70.520,70.332,68.059,66.338,65.131,67.891,66.383,68.859,66.204,69.896,67.605,70.287,66.829,68.761,70.168,66.666,67.421,63.719,66.559,66.060,68.546,65.380,67.015,67.568,69.518,69.491,69.225,64.194,66.768,68.183,67.625,70.714,69.967,66.889,64.195,66.522,67.031,64.667,67.581,68.359,68.341,70.956,70.939,71.571,69.707,69.258,71.194,69.691,70.751,69.490,73.173,72.659,68.454,71.010,68.406,76.750,69.662,71.386,69.788,72.498,70.159,68.589,71.034,68.742,70.678,69.269,72.647,69.281,71.094,69.109,73.426,67.535,71.264,68.953,67.251,71.768,71.921,71.871,71.851,71.632,69.452,71.255,70.552,66.821,71.678,69.169,64.694,65.911,66.444,67.837,66.292,66.204,68.750,67.365,66.762,63.921,64.456,68.935,65.545,67.064,65.061,70.330,68.825,69.569,68.535,67.105,69.261,68.755,65.682,66.567,65.423,65.763,64.840,69.746,64.453,68.090,67.135,68.582,66.649</history>
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 03:53:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-07 01:46:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
Forecast the traffic in the next 150 minutes, from 2025-10-07 03:54:00 to 2025-10-07 06:23:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template4/item0
|
GIFT synthesize
|
phase_change
|
T
|
7200.378,4592.884,6222.893,7077.956,6839.441,6452.646,8114.307,8619.239,9369.519,7023.154,9057.831,7664.191,8683.972,8554.980,7787.065,8361.943,8110.618,7815.972,6504.497,8409.822,7445.998,8013.396,7767.750,6884.176,5946.087,6373.278,5146.195,5302.175,6665.887,7962.915,6863.586,7372.069,7724.296,8854.848,7226.928,8265.475,5569.425,6733.470,5991.263,6151.774,5783.967,7238.565,5740.954,6690.762,5554.542,7328.594,7099.324,7371.247,8195.986,6131.619,7977.348,7562.781,8708.602,8527.011,9920.178,8359.596,8382.428,8835.933,7911.521,7216.254,7114.169,6570.131,6430.128,6025.049,6696.760,5290.756,6694.652,6517.372,7391.151,8568.888,8789.999,8920.870,7996.616,6410.387,7629.516,5224.742,4467.449,3650.800,3578.057,4883.958,4766.060,5468.696,6523.029,8161.592,9344.360,8693.139,9262.632,9268.384,8305.839,7326.906,6572.566,5244.355,5497.057,5357.997,6122.977,6521.479,6536.324,9905.282,8418.725,7831.850,8316.622,8530.071,9023.799,6602.153,7399.712,5672.658,4418.882,6482.818,6264.494,6278.629,7298.609,4777.957,6184.133,5808.703,5130.295,7461.498,6026.916,6675.775,5692.787,5545.238,6073.082,5848.657,5814.607,6945.349,7360.322,5462.661,7589.220,6270.476,7234.027,7794.853,7252.921,6489.312,5460.034,6485.374,6158.565,5961.982,6329.724,4909.806,6205.163,5417.187,3759.459,5694.917,6493.166,5439.910,6098.826,4984.887,6773.506,6462.675,6663.985,6649.908,6631.290,6389.463,6645.114,6746.994,7677.252,6033.325,5318.925,6070.130,7339.050,7233.032,8106.916,6088.979,6004.577,5488.043,4689.803,4356.433,4108.604,3359.908,3464.056,2671.931,3079.307,4495.488,4437.083,5292.259,6343.555,6621.017,6258.533,6730.700,4772.432,5158.517,4935.510,6192.854,4970.858,6136.168,5329.488,6186.737,6550.291,6266.095,6565.978,6518.932,6845.399,6116.612,5108.398,4679.156,3553.581,4111.658,6067.297,2620.957,4461.390,3360.467,3353.510,5096.151,3877.711,4457.282,4624.380,5003.954,3432.245,3676.794,4696.520,20592.071,31832.865,43281.216,49995.109,49078.253,48171.613,47717.368,48976.332,47812.137,48231.808,48227.677,47833.088,47804.649,47889.544,48983.497,50181.016,48368.641,48263.182,49328.451,48510.904,46541.504,46812.910,48066.496,46735.448,46519.572,47752.497,46249.967,47329.143,51239.135,51177.109,49334.452,49216.254,49799.773,47954.823,48592.109,46036.501,45146.652,46829.822,47115.578,47706.696,46167.164,46348.197,47846.787,49369.584,49098.295,48122.274,46990.707,47574.833,45916.830,48605.621,47013.644,45213.836,47116.634,45259.707,46902.383
|
2025-10-07 00:00:00
|
2025-10-07 04:23:00
|
44274.600,46180.358,45372.796,45200.444,47909.012,45739.829,46900.637,46271.819,48341.060,45930.607,45164.682,47631.788,46440.244,47387.428,47019.544,47740.154,45885.525,46337.318,46477.850,47590.830,45501.922,45668.269,46580.702,47614.048,45089.559,46205.832,46884.223,47932.492,46483.092,45503.013,46543.293,45508.449,45815.863,45887.571,45722.971,44621.275,43978.114,45174.961,44771.266,45046.526,43379.080,45237.498,44568.153,43774.960,45117.499,44660.447,43990.967,44689.439,43706.409,46097.911,44647.296,44654.124,42307.796,43682.514,43450.196,44411.116,44881.132,45998.946,46898.046,45341.696,46462.828,47173.819,47777.264,45002.384,44803.773,44795.224,43678.929,43123.965,41947.335,44561.536,43393.687,44847.862,45867.831,45581.865,45189.790,45733.415,45304.769,44424.444,44172.272,42957.965,42987.857,43173.211,42111.589,42457.703,42429.072,43213.711,40067.583,40969.152,42341.558,42185.014,40984.908,41203.371,42672.688,43551.175,42552.933,42697.334,43084.876,43806.342,42907.359,43151.220,42866.871,44725.433,43687.973,43675.382,42487.028,42472.672,44328.128,44611.915,44750.843,43360.623,44912.103,43912.363,46094.037,43550.695,41221.535,43132.936,41221.392,42088.552,41155.076,40706.161
|
2025-10-07 04:24:00
|
2025-10-07 06:23:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the traffic in the next 60 minutes, from 2025-10-07 04:24:00 to 2025-10-07 05:23:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 04:23:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-07 03:27:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
|
<history>7200.378,4592.884,6222.893,7077.956,6839.441,6452.646,8114.307,8619.239,9369.519,7023.154,9057.831,7664.191,8683.972,8554.980,7787.065,8361.943,8110.618,7815.972,6504.497,8409.822,7445.998,8013.396,7767.750,6884.176,5946.087,6373.278,5146.195,5302.175,6665.887,7962.915,6863.586,7372.069,7724.296,8854.848,7226.928,8265.475,5569.425,6733.470,5991.263,6151.774,5783.967,7238.565,5740.954,6690.762,5554.542,7328.594,7099.324,7371.247,8195.986,6131.619,7977.348,7562.781,8708.602,8527.011,9920.178,8359.596,8382.428,8835.933,7911.521,7216.254,7114.169,6570.131,6430.128,6025.049,6696.760,5290.756,6694.652,6517.372,7391.151,8568.888,8789.999,8920.870,7996.616,6410.387,7629.516,5224.742,4467.449,3650.800,3578.057,4883.958,4766.060,5468.696,6523.029,8161.592,9344.360,8693.139,9262.632,9268.384,8305.839,7326.906,6572.566,5244.355,5497.057,5357.997,6122.977,6521.479,6536.324,9905.282,8418.725,7831.850,8316.622,8530.071,9023.799,6602.153,7399.712,5672.658,4418.882,6482.818,6264.494,6278.629,7298.609,4777.957,6184.133,5808.703,5130.295,7461.498,6026.916,6675.775,5692.787,5545.238,6073.082,5848.657,5814.607,6945.349,7360.322,5462.661,7589.220,6270.476,7234.027,7794.853,7252.921,6489.312,5460.034,6485.374,6158.565,5961.982,6329.724,4909.806,6205.163,5417.187,3759.459,5694.917,6493.166,5439.910,6098.826,4984.887,6773.506,6462.675,6663.985,6649.908,6631.290,6389.463,6645.114,6746.994,7677.252,6033.325,5318.925,6070.130,7339.050,7233.032,8106.916,6088.979,6004.577,5488.043,4689.803,4356.433,4108.604,3359.908,3464.056,2671.931,3079.307,4495.488,4437.083,5292.259,6343.555,6621.017,6258.533,6730.700,4772.432,5158.517,4935.510,6192.854,4970.858,6136.168,5329.488,6186.737,6550.291,6266.095,6565.978,6518.932,6845.399,6116.612,5108.398,4679.156,3553.581,4111.658,6067.297,2620.957,4461.390,3360.467,3353.510,5096.151,3877.711,4457.282,4624.380,5003.954,3432.245,3676.794,4696.520,20592.071,31832.865,43281.216,49995.109,49078.253,48171.613,47717.368,48976.332,47812.137,48231.808,48227.677,47833.088,47804.649,47889.544,48983.497,50181.016,48368.641,48263.182,49328.451,48510.904,46541.504,46812.910,48066.496,46735.448,46519.572,47752.497,46249.967,47329.143,51239.135,51177.109,49334.452,49216.254,49799.773,47954.823,48592.109,46036.501,45146.652,46829.822,47115.578,47706.696,46167.164,46348.197,47846.787,49369.584,49098.295,48122.274,46990.707,47574.833,45916.830,48605.621,47013.644,45213.836,47116.634,45259.707,46902.383</history>
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 04:23:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-07 03:27:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
Forecast the traffic in the next 120 minutes, from 2025-10-07 04:24:00 to 2025-10-07 06:23:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template0/item0
|
GIFT synthesize
|
phase_change
|
T
|
77.654,77.762,77.828,77.907,77.965,78.006,78.028,78.038,78.034,77.996,77.968,77.895,77.833,77.744,77.637,77.518,77.377,77.225,77.064,76.874,76.690,76.483,76.267,76.036,75.807,75.565,75.310,75.042,74.766,74.498,74.211,73.944,73.645,73.353,73.079,72.792,72.495,72.220,71.943,71.668,71.395,71.123,70.875,70.623,70.382,70.156,69.937,69.732,69.522,69.334,69.163,69.005,68.853,68.721,68.595,68.487,68.389,68.304,68.232,68.188,68.142,68.114,68.081,68.084,68.092,68.100,68.139,68.178,68.209,68.284,68.323,68.410,68.481,68.558,68.653,68.743,68.828,68.933,69.036,69.139,69.251,69.343,69.450,69.562,69.653,69.749,69.847,69.932,70.032,70.097,70.184,70.250,70.316,70.376,70.434,70.497,70.526,70.556,70.588,70.610,70.624,70.648,70.656,70.659,70.652,70.645,70.643,70.634,70.615,70.592,70.574,70.547,70.535,70.512,70.498,70.478,70.462,70.458,70.458,70.444,70.452,70.449,70.461,70.496,70.517,70.546,70.596,70.650,70.695,70.774,70.854,70.934,71.041,71.144,71.251,71.381,71.513,71.671,71.819,71.986,72.161,72.341,72.524,87.672,101.354,112.258,119.343,119.558,116.206,114.300,114.516,114.754,114.990,115.211,115.436,115.668,115.891,116.109,116.321,116.530,116.729,116.925,117.109,117.291,117.445,117.611,117.745,117.883,117.994,118.110,118.186,118.268,118.331,118.368,118.394,118.404,118.399,118.372,118.338,118.276,118.211,118.110,118.020,117.895,117.756,117.605,117.441,117.257,117.066,116.861,116.644,116.420,116.187,115.937,115.679,115.419,115.147,114.862,114.579,114.299,114.010,113.728,113.440,113.154,112.855,112.565,112.300,112.017,111.753,111.477,111.219,110.973,110.729,110.491,110.277,110.065,109.875,109.674,109.507,109.336,109.188,109.051,108.926,108.811,108.709,108.617,108.538,108.484,108.446,108.416,108.392,108.391,108.389,108.386,108.411,108.461,108.489,108.538,108.612,108.686,108.752,108.827,108.906,109.013,109.093,109.190,109.285,109.389,109.493,109.585,109.694,109.801,109.890,109.977,110.072,110.160,110.248,110.341,110.406,110.476,110.542,110.593,110.669,110.713,110.762,110.789,110.820,110.862,110.876,110.887,110.900,110.909,110.909,110.907,110.893,110.895,110.882,110.873,110.849,110.841,110.818,110.812,110.805,110.779,110.770,110.768,110.772,110.765,110.771,110.788,110.791,110.820,110.837,110.880,110.933,110.974,111.042,111.104,111.190,111.274,111.366,111.471,111.584,111.705,111.841,111.986,112.135,112.288,112.455,112.633,112.809,113.002,113.189,113.398,113.594,113.804,114.022,114.232,114.455,114.682,114.895,115.119,115.335,115.550,115.778,115.970,116.188,116.386,116.576,116.764,116.944,117.114,117.276,117.429,117.557,117.685,117.795,117.901,117.993,118.056,118.118,118.167,118.184,118.212,118.197,118.171,118.141,118.096,118.030,117.939,117.841,117.725,117.598,117.467,117.314,117.147,116.964,116.773,116.555,116.346,116.119,115.880,115.635,115.382,115.127,114.869,114.595,114.321,114.049,113.776,113.502,113.221,112.938,112.665,112.401,112.131,111.876,111.609,111.356,111.120,110.893,110.658,110.444,110.242,110.037,109.851,109.674,109.514,109.370,109.229,109.101,108.985
|
2025-10-08 00:00:00
|
2025-10-08 06:31:00
|
108.888,108.801,108.730,108.669,108.616,108.575,108.554,108.537,108.520,108.537,108.556,108.596,108.620,108.669,108.724,108.789,108.847,108.926,109.006,109.092,109.181,109.265,109.357,109.459,109.555,109.651,109.753,109.842,109.933,110.025,110.119,110.208,110.283,110.365,110.448,110.520,110.592,110.629,110.694,110.750,110.796,110.829,110.868,110.905,110.916,110.935,110.944,110.969,110.961,110.968,110.950,110.946,110.955,110.929,110.920,110.900,110.889,110.872,110.863,110.841,110.840,110.821,110.826,110.822,110.825,110.829,110.834,110.856,110.889,110.913,110.953,110.988,111.051,111.121,111.186,111.253,111.348,111.437,111.542,111.661,111.788,111.912,112.061,112.215,112.371,112.541,112.722,112.890,113.073,113.273,113.455,113.662,113.878,114.090,114.301,114.516,114.732,114.951,115.171,115.384,115.595,115.807,116.012,116.212,116.401,116.585,116.767,116.940,117.101,117.260,117.391,117.515,117.645,117.746,117.833,117.915,117.991,118.028,118.073,118.085
|
2025-10-08 06:32:00
|
2025-10-08 08:31:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the traffic in the next 120 minutes, from 2025-10-08 06:32:00 to 2025-10-08 08:31:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 06:31:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
|
<history>77.654,77.762,77.828,77.907,77.965,78.006,78.028,78.038,78.034,77.996,77.968,77.895,77.833,77.744,77.637,77.518,77.377,77.225,77.064,76.874,76.690,76.483,76.267,76.036,75.807,75.565,75.310,75.042,74.766,74.498,74.211,73.944,73.645,73.353,73.079,72.792,72.495,72.220,71.943,71.668,71.395,71.123,70.875,70.623,70.382,70.156,69.937,69.732,69.522,69.334,69.163,69.005,68.853,68.721,68.595,68.487,68.389,68.304,68.232,68.188,68.142,68.114,68.081,68.084,68.092,68.100,68.139,68.178,68.209,68.284,68.323,68.410,68.481,68.558,68.653,68.743,68.828,68.933,69.036,69.139,69.251,69.343,69.450,69.562,69.653,69.749,69.847,69.932,70.032,70.097,70.184,70.250,70.316,70.376,70.434,70.497,70.526,70.556,70.588,70.610,70.624,70.648,70.656,70.659,70.652,70.645,70.643,70.634,70.615,70.592,70.574,70.547,70.535,70.512,70.498,70.478,70.462,70.458,70.458,70.444,70.452,70.449,70.461,70.496,70.517,70.546,70.596,70.650,70.695,70.774,70.854,70.934,71.041,71.144,71.251,71.381,71.513,71.671,71.819,71.986,72.161,72.341,72.524,87.672,101.354,112.258,119.343,119.558,116.206,114.300,114.516,114.754,114.990,115.211,115.436,115.668,115.891,116.109,116.321,116.530,116.729,116.925,117.109,117.291,117.445,117.611,117.745,117.883,117.994,118.110,118.186,118.268,118.331,118.368,118.394,118.404,118.399,118.372,118.338,118.276,118.211,118.110,118.020,117.895,117.756,117.605,117.441,117.257,117.066,116.861,116.644,116.420,116.187,115.937,115.679,115.419,115.147,114.862,114.579,114.299,114.010,113.728,113.440,113.154,112.855,112.565,112.300,112.017,111.753,111.477,111.219,110.973,110.729,110.491,110.277,110.065,109.875,109.674,109.507,109.336,109.188,109.051,108.926,108.811,108.709,108.617,108.538,108.484,108.446,108.416,108.392,108.391,108.389,108.386,108.411,108.461,108.489,108.538,108.612,108.686,108.752,108.827,108.906,109.013,109.093,109.190,109.285,109.389,109.493,109.585,109.694,109.801,109.890,109.977,110.072,110.160,110.248,110.341,110.406,110.476,110.542,110.593,110.669,110.713,110.762,110.789,110.820,110.862,110.876,110.887,110.900,110.909,110.909,110.907,110.893,110.895,110.882,110.873,110.849,110.841,110.818,110.812,110.805,110.779,110.770,110.768,110.772,110.765,110.771,110.788,110.791,110.820,110.837,110.880,110.933,110.974,111.042,111.104,111.190,111.274,111.366,111.471,111.584,111.705,111.841,111.986,112.135,112.288,112.455,112.633,112.809,113.002,113.189,113.398,113.594,113.804,114.022,114.232,114.455,114.682,114.895,115.119,115.335,115.550,115.778,115.970,116.188,116.386,116.576,116.764,116.944,117.114,117.276,117.429,117.557,117.685,117.795,117.901,117.993,118.056,118.118,118.167,118.184,118.212,118.197,118.171,118.141,118.096,118.030,117.939,117.841,117.725,117.598,117.467,117.314,117.147,116.964,116.773,116.555,116.346,116.119,115.880,115.635,115.382,115.127,114.869,114.595,114.321,114.049,113.776,113.502,113.221,112.938,112.665,112.401,112.131,111.876,111.609,111.356,111.120,110.893,110.658,110.444,110.242,110.037,109.851,109.674,109.514,109.370,109.229,109.101,108.985</history>
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 06:31:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
Forecast the traffic in the next 120 minutes, from 2025-10-08 06:32:00 to 2025-10-08 08:31:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template1/item0
|
GIFT synthesize
|
phase_change
|
T
|
68.053,68.926,69.960,70.767,71.759,72.654,73.574,74.416,75.519,76.349,77.080,78.196,79.100,79.992,80.814,81.800,82.737,83.573,84.510,77.766,91.244,80.127,90.677,92.271,118.547,112.877,131.736,129.781,163.114,171.774,172.543,173.655,174.529,175.434,176.341,177.292,178.193,178.956,179.852,180.755,181.665,182.599,183.391,184.362,185.161,185.972,186.982,188.023,188.751,189.677,190.609,191.363,192.185,193.017,194.081,194.813,195.660,196.618,197.472,198.321,199.115,199.987,200.867,201.706,202.492,203.389,204.233,205.065,205.884,206.765,207.558,208.445,209.168,210.041,210.928,211.502,212.541,213.374,214.210,215.054,215.920,216.675,217.372,218.154,219.086,219.842,220.577,221.269,222.091,223.012,223.723,224.497,225.222,226.035,226.882,227.598,228.228,229.230,229.923,230.639,231.376,232.020,232.745,233.708,234.445,235.082,235.827,236.471,237.373,237.921,238.686,239.338,240.199,240.875,241.477,242.133,243.019,243.582,244.249,245.062,245.747,246.318,246.999,247.650,248.458,249.003,249.784,250.327,250.741,251.701,252.370,253.007,253.594,254.275,254.917,255.459,256.005,256.710,257.281,257.881,258.330,259.029,259.742,260.279,260.835,261.332,261.907,262.555,263.119,263.567,264.316,264.771,265.419,265.958,266.516,266.987
|
2025-10-08 00:00:00
|
2025-10-08 02:35:00
|
267.538,268.021,268.490,269.075,269.740,269.942,270.606,271.150,271.551,272.099,272.531,273.050,273.462,274.058,274.527,274.877,275.350,275.774,276.286,276.668,277.149,277.609,277.904,278.414,278.745,279.066,279.567,279.940,280.474,280.820,281.170,281.553,281.848,282.329,282.696,282.947,283.555,283.693,284.212,284.419,284.715,285.048,285.413,285.682,285.900,286.313,286.729,286.920,287.269,287.415,287.759,288.048,288.259,288.650,288.784,289.117,289.373,289.516,289.930,289.983,290.459,290.547,290.794,290.915,291.124,291.298,291.586,291.650,291.916,292.129,292.189,292.315,292.539,292.810,292.929,292.960,293.223,293.225,293.416,293.613,293.620,293.664,293.793,293.993,294.041,294.175,294.062,294.408,294.363,294.405,294.431,294.430,294.800,294.612,294.594,294.683,294.596,294.767,294.699,294.917
|
2025-10-08 02:36:00
|
2025-10-08 04:15:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the traffic in the next 100 minutes, from 2025-10-08 02:36:00 to 2025-10-08 04:15:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 02:35:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
|
<history>68.053,68.926,69.960,70.767,71.759,72.654,73.574,74.416,75.519,76.349,77.080,78.196,79.100,79.992,80.814,81.800,82.737,83.573,84.510,77.766,91.244,80.127,90.677,92.271,118.547,112.877,131.736,129.781,163.114,171.774,172.543,173.655,174.529,175.434,176.341,177.292,178.193,178.956,179.852,180.755,181.665,182.599,183.391,184.362,185.161,185.972,186.982,188.023,188.751,189.677,190.609,191.363,192.185,193.017,194.081,194.813,195.660,196.618,197.472,198.321,199.115,199.987,200.867,201.706,202.492,203.389,204.233,205.065,205.884,206.765,207.558,208.445,209.168,210.041,210.928,211.502,212.541,213.374,214.210,215.054,215.920,216.675,217.372,218.154,219.086,219.842,220.577,221.269,222.091,223.012,223.723,224.497,225.222,226.035,226.882,227.598,228.228,229.230,229.923,230.639,231.376,232.020,232.745,233.708,234.445,235.082,235.827,236.471,237.373,237.921,238.686,239.338,240.199,240.875,241.477,242.133,243.019,243.582,244.249,245.062,245.747,246.318,246.999,247.650,248.458,249.003,249.784,250.327,250.741,251.701,252.370,253.007,253.594,254.275,254.917,255.459,256.005,256.710,257.281,257.881,258.330,259.029,259.742,260.279,260.835,261.332,261.907,262.555,263.119,263.567,264.316,264.771,265.419,265.958,266.516,266.987</history>
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 02:35:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
Forecast the traffic in the next 100 minutes, from 2025-10-08 02:36:00 to 2025-10-08 04:15:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template2/item0
|
GIFT synthesize
|
phase_change
|
T
|
839.369,839.962,839.635,839.073,840.792,840.751,840.934,841.664,842.197,843.010,843.798,844.340,844.058,844.253,845.586,847.898,848.810,849.538,850.354,852.393,852.730,855.023,855.471,857.165,858.009,861.504,862.577,863.183,864.985,865.705,867.764,869.301,872.618,873.412,876.242,878.893,881.787,882.464,886.978,887.783,890.065,893.244,895.071,898.486,901.115,902.734,905.342,909.497,911.959,916.117,917.433,921.697,926.290,928.983,930.579,936.438,939.699,942.749,946.765,950.916,953.357,956.630,961.269,964.614,971.300,972.786,977.687,981.687,986.424,990.274,993.985,998.828,4047.388,4052.854,3811.941,3622.621,3488.382,3412.934,3416.565,3420.632,3428.319,3431.394,3436.927,3443.022,3448.990,3453.897,3458.255,3464.599,3469.983,3476.438,3481.010,3486.907,3492.899,3497.735,3503.116,3510.956,3514.773,3523.187,3528.011,3535.357,3540.916,3545.893,3553.087,3560.170,3565.943,3572.171,3578.728,3585.983,3593.828,3600.563,3606.403,3613.387,3620.360,3628.073,3635.997,3643.275,3650.141,3657.452,3664.197,3671.595,3679.893,3686.457,3695.220,3702.278,3710.154,3718.785,3727.284,3733.017,3742.956,3748.855,3758.933,3765.502,3774.712,3783.439,3793.143,3800.039,3808.668,3816.922,3826.059,3835.248,3844.104,3851.039,3860.416,3870.923,3878.987,3887.221,3898.146,3907.072,3917.356,3924.003,3936.006,3944.308,3953.054,3964.273,3973.756,3983.577
|
2025-10-07 00:00:00
|
2025-10-07 02:35:00
|
3994.128,4003.133,4012.559,4022.494,4032.639,4041.298,4053.421,4063.813,4073.915,4085.908,4093.861,4105.931,4114.733,4125.447,4136.539,4147.525,4157.829,4168.897,4179.532,4191.485,4201.494,4213.780,4224.946,4236.837,4247.864,4259.014,4270.655,4282.067,4294.219,4304.726,4317.657,4327.532,4340.921,4350.448,4364.567,4375.231,4387.840,4400.421,4412.460,4424.807,4438.029,4450.032,4460.880,4474.630,4487.221,4499.103,4513.366,4527.003,4538.316,4549.703,4563.289,4577.662,4589.928,4602.238,4615.946,4629.953,4643.305,4657.410,4670.728,4683.666,4697.591,4710.928,4724.250,4738.912,4753.005,4765.955,4780.739,4793.227,4809.069,4822.170,4837.003,4850.029,4864.305,4878.879,4894.315,4909.156,4924.010,4938.444,4954.433,4968.283,4983.676,4997.080,5011.821,5026.396,5042.241,5056.915,5072.436,5087.657,5103.338,5118.545,5133.531,5149.272,5165.934,5181.901,5196.545,5213.904,5228.768,5243.809,5260.290,5275.458
|
2025-10-07 02:36:00
|
2025-10-07 04:15:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the traffic in the next 100 minutes, from 2025-10-07 02:36:00 to 2025-10-07 04:15:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 02:35:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
|
<history>839.369,839.962,839.635,839.073,840.792,840.751,840.934,841.664,842.197,843.010,843.798,844.340,844.058,844.253,845.586,847.898,848.810,849.538,850.354,852.393,852.730,855.023,855.471,857.165,858.009,861.504,862.577,863.183,864.985,865.705,867.764,869.301,872.618,873.412,876.242,878.893,881.787,882.464,886.978,887.783,890.065,893.244,895.071,898.486,901.115,902.734,905.342,909.497,911.959,916.117,917.433,921.697,926.290,928.983,930.579,936.438,939.699,942.749,946.765,950.916,953.357,956.630,961.269,964.614,971.300,972.786,977.687,981.687,986.424,990.274,993.985,998.828,4047.388,4052.854,3811.941,3622.621,3488.382,3412.934,3416.565,3420.632,3428.319,3431.394,3436.927,3443.022,3448.990,3453.897,3458.255,3464.599,3469.983,3476.438,3481.010,3486.907,3492.899,3497.735,3503.116,3510.956,3514.773,3523.187,3528.011,3535.357,3540.916,3545.893,3553.087,3560.170,3565.943,3572.171,3578.728,3585.983,3593.828,3600.563,3606.403,3613.387,3620.360,3628.073,3635.997,3643.275,3650.141,3657.452,3664.197,3671.595,3679.893,3686.457,3695.220,3702.278,3710.154,3718.785,3727.284,3733.017,3742.956,3748.855,3758.933,3765.502,3774.712,3783.439,3793.143,3800.039,3808.668,3816.922,3826.059,3835.248,3844.104,3851.039,3860.416,3870.923,3878.987,3887.221,3898.146,3907.072,3917.356,3924.003,3936.006,3944.308,3953.054,3964.273,3973.756,3983.577</history>
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 02:35:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
Forecast the traffic in the next 100 minutes, from 2025-10-07 02:36:00 to 2025-10-07 04:15:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template3/item0
|
GIFT synthesize
|
phase_change
|
T
|
37.204,41.912,39.814,41.331,42.088,39.806,39.569,39.479,38.919,39.672,41.326,37.546,39.696,40.254,37.513,38.159,38.008,39.111,37.615,42.954,36.072,40.517,38.212,38.164,39.842,37.556,38.825,37.838,35.959,38.227,38.894,36.296,36.495,38.780,39.853,37.793,41.394,37.853,40.613,36.270,41.814,38.814,40.785,38.964,41.513,40.596,41.114,41.148,42.785,39.983,41.000,41.584,43.984,41.011,40.616,40.966,39.021,41.730,41.188,41.320,40.801,44.576,47.522,44.397,44.079,43.020,40.913,43.094,42.343,44.015,40.708,41.960,41.513,44.596,44.124,44.724,41.048,42.336,42.681,42.053,40.576,43.350,40.198,42.399,42.310,43.186,40.352,41.223,44.467,40.903,41.727,39.347,40.156,39.814,41.148,39.781,37.043,35.052,38.461,38.413,38.824,36.271,39.407,35.339,37.634,35.481,37.583,40.876,42.942,55.016,70.633,70.696,70.665,70.194,70.710,70.520,70.332,68.059,66.338,65.131,67.891,66.383,68.859,66.204,69.896,67.605,70.287,66.829,68.761,70.168,66.666,67.421,63.719,66.559,66.060,68.546,65.380,67.015,67.568,69.518,69.491,69.225,64.194,66.768,68.183,67.625,70.714,69.967,66.889,64.195,66.522,67.031,64.667,67.581,68.359,68.341,70.956,70.939,71.571,69.707,69.258,71.194,69.691,70.751,69.490,73.173,72.659,68.454,71.010,68.406,76.750,69.662,71.386,69.788,72.498,70.159,68.589,71.034,68.742,70.678,69.269,72.647,69.281,71.094,69.109,73.426,67.535,71.264,68.953,67.251,71.768,71.921,71.871,71.851,71.632,69.452,71.255,70.552,66.821,71.678,69.169,64.694,65.911,66.444,67.837,66.292,66.204,68.750,67.365,66.762,63.921,64.456,68.935,65.545,67.064,65.061,70.330,68.825,69.569,68.535,67.105,69.261,68.755,65.682,66.567,65.423,65.763,64.840,69.746,64.453,68.090,67.135,68.582,66.649
|
2025-10-07 00:00:00
|
2025-10-07 03:53:00
|
67.449,65.518,65.362,67.953,65.799,69.032,65.316,66.867,65.960,63.276,65.160,65.845,65.289,67.250,66.616,62.850,63.838,65.608,63.881,63.926,66.464,68.056,63.506,63.544,67.801,62.989,63.676,67.576,68.191,65.886,65.060,68.352,70.082,65.625,65.607,66.160,67.628,68.129,69.362,68.148,70.945,67.924,66.895,68.869,68.228,69.583,69.694,68.015,68.734,68.109,66.590,64.649,67.222,65.942,68.766,63.185,69.605,67.359,66.685,68.439,68.569,67.112,68.130,67.123,66.870,65.728,65.987,65.236,67.307,65.245,62.307,64.746,65.580,67.556,63.969,64.316,61.003,65.163,62.067,65.172,60.627,62.797,63.267,63.958,61.734,63.736,64.663,62.474,63.821,64.852,66.415,65.504,64.225,62.879,65.484,62.773,63.620,62.227,62.275,62.951,62.121,63.336,62.481,64.575,64.810,64.298,61.784,65.708,61.840,62.703,60.886,62.897,59.100,58.573,60.741,61.996,59.333,57.795,61.603,61.340,60.787,61.864,64.302,58.749,63.428,62.052,60.196,62.701,62.492,60.326,61.190,64.057,61.127,64.261,63.931,65.853,66.948,65.115,63.284,62.532,64.555,65.435,64.657,64.929,66.674,65.638,65.061,65.069,66.029,65.300
|
2025-10-07 03:54:00
|
2025-10-07 06:23:00
|
,
| 150
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the traffic in the next 150 minutes, from 2025-10-07 03:54:00 to 2025-10-07 06:23:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 03:53:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
|
<history>37.204,41.912,39.814,41.331,42.088,39.806,39.569,39.479,38.919,39.672,41.326,37.546,39.696,40.254,37.513,38.159,38.008,39.111,37.615,42.954,36.072,40.517,38.212,38.164,39.842,37.556,38.825,37.838,35.959,38.227,38.894,36.296,36.495,38.780,39.853,37.793,41.394,37.853,40.613,36.270,41.814,38.814,40.785,38.964,41.513,40.596,41.114,41.148,42.785,39.983,41.000,41.584,43.984,41.011,40.616,40.966,39.021,41.730,41.188,41.320,40.801,44.576,47.522,44.397,44.079,43.020,40.913,43.094,42.343,44.015,40.708,41.960,41.513,44.596,44.124,44.724,41.048,42.336,42.681,42.053,40.576,43.350,40.198,42.399,42.310,43.186,40.352,41.223,44.467,40.903,41.727,39.347,40.156,39.814,41.148,39.781,37.043,35.052,38.461,38.413,38.824,36.271,39.407,35.339,37.634,35.481,37.583,40.876,42.942,55.016,70.633,70.696,70.665,70.194,70.710,70.520,70.332,68.059,66.338,65.131,67.891,66.383,68.859,66.204,69.896,67.605,70.287,66.829,68.761,70.168,66.666,67.421,63.719,66.559,66.060,68.546,65.380,67.015,67.568,69.518,69.491,69.225,64.194,66.768,68.183,67.625,70.714,69.967,66.889,64.195,66.522,67.031,64.667,67.581,68.359,68.341,70.956,70.939,71.571,69.707,69.258,71.194,69.691,70.751,69.490,73.173,72.659,68.454,71.010,68.406,76.750,69.662,71.386,69.788,72.498,70.159,68.589,71.034,68.742,70.678,69.269,72.647,69.281,71.094,69.109,73.426,67.535,71.264,68.953,67.251,71.768,71.921,71.871,71.851,71.632,69.452,71.255,70.552,66.821,71.678,69.169,64.694,65.911,66.444,67.837,66.292,66.204,68.750,67.365,66.762,63.921,64.456,68.935,65.545,67.064,65.061,70.330,68.825,69.569,68.535,67.105,69.261,68.755,65.682,66.567,65.423,65.763,64.840,69.746,64.453,68.090,67.135,68.582,66.649</history>
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 03:53:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
Forecast the traffic in the next 150 minutes, from 2025-10-07 03:54:00 to 2025-10-07 06:23:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template4/item0
|
GIFT synthesize
|
phase_change
|
T
|
7200.378,4592.884,6222.893,7077.956,6839.441,6452.646,8114.307,8619.239,9369.519,7023.154,9057.831,7664.191,8683.972,8554.980,7787.065,8361.943,8110.618,7815.972,6504.497,8409.822,7445.998,8013.396,7767.750,6884.176,5946.087,6373.278,5146.195,5302.175,6665.887,7962.915,6863.586,7372.069,7724.296,8854.848,7226.928,8265.475,5569.425,6733.470,5991.263,6151.774,5783.967,7238.565,5740.954,6690.762,5554.542,7328.594,7099.324,7371.247,8195.986,6131.619,7977.348,7562.781,8708.602,8527.011,9920.178,8359.596,8382.428,8835.933,7911.521,7216.254,7114.169,6570.131,6430.128,6025.049,6696.760,5290.756,6694.652,6517.372,7391.151,8568.888,8789.999,8920.870,7996.616,6410.387,7629.516,5224.742,4467.449,3650.800,3578.057,4883.958,4766.060,5468.696,6523.029,8161.592,9344.360,8693.139,9262.632,9268.384,8305.839,7326.906,6572.566,5244.355,5497.057,5357.997,6122.977,6521.479,6536.324,9905.282,8418.725,7831.850,8316.622,8530.071,9023.799,6602.153,7399.712,5672.658,4418.882,6482.818,6264.494,6278.629,7298.609,4777.957,6184.133,5808.703,5130.295,7461.498,6026.916,6675.775,5692.787,5545.238,6073.082,5848.657,5814.607,6945.349,7360.322,5462.661,7589.220,6270.476,7234.027,7794.853,7252.921,6489.312,5460.034,6485.374,6158.565,5961.982,6329.724,4909.806,6205.163,5417.187,3759.459,5694.917,6493.166,5439.910,6098.826,4984.887,6773.506,6462.675,6663.985,6649.908,6631.290,6389.463,6645.114,6746.994,7677.252,6033.325,5318.925,6070.130,7339.050,7233.032,8106.916,6088.979,6004.577,5488.043,4689.803,4356.433,4108.604,3359.908,3464.056,2671.931,3079.307,4495.488,4437.083,5292.259,6343.555,6621.017,6258.533,6730.700,4772.432,5158.517,4935.510,6192.854,4970.858,6136.168,5329.488,6186.737,6550.291,6266.095,6565.978,6518.932,6845.399,6116.612,5108.398,4679.156,3553.581,4111.658,6067.297,2620.957,4461.390,3360.467,3353.510,5096.151,3877.711,4457.282,4624.380,5003.954,3432.245,3676.794,4696.520,20592.071,31832.865,43281.216,49995.109,49078.253,48171.613,47717.368,48976.332,47812.137,48231.808,48227.677,47833.088,47804.649,47889.544,48983.497,50181.016,48368.641,48263.182,49328.451,48510.904,46541.504,46812.910,48066.496,46735.448,46519.572,47752.497,46249.967,47329.143,51239.135,51177.109,49334.452,49216.254,49799.773,47954.823,48592.109,46036.501,45146.652,46829.822,47115.578,47706.696,46167.164,46348.197,47846.787,49369.584,49098.295,48122.274,46990.707,47574.833,45916.830,48605.621,47013.644,45213.836,47116.634,45259.707,46902.383
|
2025-10-07 00:00:00
|
2025-10-07 04:23:00
|
44274.600,46180.358,45372.796,45200.444,47909.012,45739.829,46900.637,46271.819,48341.060,45930.607,45164.682,47631.788,46440.244,47387.428,47019.544,47740.154,45885.525,46337.318,46477.850,47590.830,45501.922,45668.269,46580.702,47614.048,45089.559,46205.832,46884.223,47932.492,46483.092,45503.013,46543.293,45508.449,45815.863,45887.571,45722.971,44621.275,43978.114,45174.961,44771.266,45046.526,43379.080,45237.498,44568.153,43774.960,45117.499,44660.447,43990.967,44689.439,43706.409,46097.911,44647.296,44654.124,42307.796,43682.514,43450.196,44411.116,44881.132,45998.946,46898.046,45341.696,46462.828,47173.819,47777.264,45002.384,44803.773,44795.224,43678.929,43123.965,41947.335,44561.536,43393.687,44847.862,45867.831,45581.865,45189.790,45733.415,45304.769,44424.444,44172.272,42957.965,42987.857,43173.211,42111.589,42457.703,42429.072,43213.711,40067.583,40969.152,42341.558,42185.014,40984.908,41203.371,42672.688,43551.175,42552.933,42697.334,43084.876,43806.342,42907.359,43151.220,42866.871,44725.433,43687.973,43675.382,42487.028,42472.672,44328.128,44611.915,44750.843,43360.623,44912.103,43912.363,46094.037,43550.695,41221.535,43132.936,41221.392,42088.552,41155.076,40706.161
|
2025-10-07 04:24:00
|
2025-10-07 06:23:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the traffic in the next 120 minutes, from 2025-10-07 04:24:00 to 2025-10-07 06:23:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 04:23:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
|
<history>7200.378,4592.884,6222.893,7077.956,6839.441,6452.646,8114.307,8619.239,9369.519,7023.154,9057.831,7664.191,8683.972,8554.980,7787.065,8361.943,8110.618,7815.972,6504.497,8409.822,7445.998,8013.396,7767.750,6884.176,5946.087,6373.278,5146.195,5302.175,6665.887,7962.915,6863.586,7372.069,7724.296,8854.848,7226.928,8265.475,5569.425,6733.470,5991.263,6151.774,5783.967,7238.565,5740.954,6690.762,5554.542,7328.594,7099.324,7371.247,8195.986,6131.619,7977.348,7562.781,8708.602,8527.011,9920.178,8359.596,8382.428,8835.933,7911.521,7216.254,7114.169,6570.131,6430.128,6025.049,6696.760,5290.756,6694.652,6517.372,7391.151,8568.888,8789.999,8920.870,7996.616,6410.387,7629.516,5224.742,4467.449,3650.800,3578.057,4883.958,4766.060,5468.696,6523.029,8161.592,9344.360,8693.139,9262.632,9268.384,8305.839,7326.906,6572.566,5244.355,5497.057,5357.997,6122.977,6521.479,6536.324,9905.282,8418.725,7831.850,8316.622,8530.071,9023.799,6602.153,7399.712,5672.658,4418.882,6482.818,6264.494,6278.629,7298.609,4777.957,6184.133,5808.703,5130.295,7461.498,6026.916,6675.775,5692.787,5545.238,6073.082,5848.657,5814.607,6945.349,7360.322,5462.661,7589.220,6270.476,7234.027,7794.853,7252.921,6489.312,5460.034,6485.374,6158.565,5961.982,6329.724,4909.806,6205.163,5417.187,3759.459,5694.917,6493.166,5439.910,6098.826,4984.887,6773.506,6462.675,6663.985,6649.908,6631.290,6389.463,6645.114,6746.994,7677.252,6033.325,5318.925,6070.130,7339.050,7233.032,8106.916,6088.979,6004.577,5488.043,4689.803,4356.433,4108.604,3359.908,3464.056,2671.931,3079.307,4495.488,4437.083,5292.259,6343.555,6621.017,6258.533,6730.700,4772.432,5158.517,4935.510,6192.854,4970.858,6136.168,5329.488,6186.737,6550.291,6266.095,6565.978,6518.932,6845.399,6116.612,5108.398,4679.156,3553.581,4111.658,6067.297,2620.957,4461.390,3360.467,3353.510,5096.151,3877.711,4457.282,4624.380,5003.954,3432.245,3676.794,4696.520,20592.071,31832.865,43281.216,49995.109,49078.253,48171.613,47717.368,48976.332,47812.137,48231.808,48227.677,47833.088,47804.649,47889.544,48983.497,50181.016,48368.641,48263.182,49328.451,48510.904,46541.504,46812.910,48066.496,46735.448,46519.572,47752.497,46249.967,47329.143,51239.135,51177.109,49334.452,49216.254,49799.773,47954.823,48592.109,46036.501,45146.652,46829.822,47115.578,47706.696,46167.164,46348.197,47846.787,49369.584,49098.295,48122.274,46990.707,47574.833,45916.830,48605.621,47013.644,45213.836,47116.634,45259.707,46902.383</history>
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 04:23:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
Forecast the traffic in the next 120 minutes, from 2025-10-07 04:24:00 to 2025-10-07 06:23:00, of this time series.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template0/item1
|
GIFT synthesize
|
phase_change
|
H
|
175.584,173.710,169.207,162.909,156.402,151.564,149.782,151.447,155.768,161.225,166.252,169.828,171.662,172.425,172.895,173.746,175.065,176.362,176.846,176.032,173.928,171.312,169.260,168.515,169.295,170.835,171.854,171.004,167.591,161.933,155.380,149.768,146.752,147.045,150.447,155.626,160.963,165.129,167.587,168.686,169.108,169.838,171.030,172.436,173.340,173.104,171.455,169.007,166.604,165.272,165.484,166.890,168.293,168.352,165.987,161.148,154.797,148.641,144.429,143.406,145.647,150.322,155.782,160.532,163.729,165.302,165.927,166.485,167.521,168.882,170.091,170.346,169.230,167.036,164.489,162.715,162.385,163.420,165.030,165.747,164.413,160.479,154.550,148.050,142.832,140.458,141.487,145.372,150.753,155.969,159.940,162.240,163.179,163.755,164.538,165.810,167.161,167.822,167.258,165.392,162.911,160.760,159.888,160.530,162.053,163.315,162.906,159.928,154.577,147.999,141.997,138.333,137.973,140.881,145.955,151.558,156.231,159.251,274.932,161.450,162.119,152.254,143.631,135.571,127.415,118.895,110.318,102.686,96.977,93.722,92.632,92.759,93.148,91.213,86.626,80.292,73.782,68.972,67.227,68.996,73.419,79.051,84.345,88.146,90.279,91.221,91.897,92.866,94.232,95.507,96.000,95.130,93.105,90.584,88.620,88.095,88.967,90.559,91.546,90.585,86.984,81.147,74.418,68.731,65.684,66.104,69.648,75.095,80.729,85.250,88.053,89.392,90.117,91.005,92.336,93.838,94.806,94.557,92.982,90.503,88.180,86.922,87.211,88.594,89.963,89.834,87.290,82.258,75.670,69.373,65.146,64.240,66.725,71.614,77.385,82.449,85.926,87.743,88.684,89.462
|
2025-10-01 00:00:00
|
2025-10-09 07:00:00
|
90.741,92.351,93.725,94.101,93.085,90.896,88.329,86.481,86.055,87.044,88.488,89.083,87.567,83.492,77.371,70.812,65.658,63.391,64.613,68.726,74.326,79.816,83.923,86.402,87.576,88.377,89.478,91.064,92.748,93.654,93.254,91.456,88.915,86.627,85.582,86.035,87.394,88.470,87.927,84.875,79.431,72.883,66.987,63.500,63.395,66.468,71.712,77.389,82.135,85.254,86.865,87.786,88.689,90.161,91.906,93.178
|
2025-10-09 08:00:00
|
2025-10-11 15:00:00
|
,
| 56
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 56 readings from this sensor, from 2025-10-09 08:00:00 to 2025-10-11 15:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-10-01 00:00:00 to 2025-10-09 07:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, which made 132 readings from 2025-10-01 00:00:00 to 2025-10-06 11:00:00 unreliable. The technical team has replaced the new sensor, and the new readings from 2025-10-06 12:00:00 has returned to normal. At the point of replacement, the temperature reading jumped significantly, and then returned to normal.
|
<history>175.584,173.710,169.207,162.909,156.402,151.564,149.782,151.447,155.768,161.225,166.252,169.828,171.662,172.425,172.895,173.746,175.065,176.362,176.846,176.032,173.928,171.312,169.260,168.515,169.295,170.835,171.854,171.004,167.591,161.933,155.380,149.768,146.752,147.045,150.447,155.626,160.963,165.129,167.587,168.686,169.108,169.838,171.030,172.436,173.340,173.104,171.455,169.007,166.604,165.272,165.484,166.890,168.293,168.352,165.987,161.148,154.797,148.641,144.429,143.406,145.647,150.322,155.782,160.532,163.729,165.302,165.927,166.485,167.521,168.882,170.091,170.346,169.230,167.036,164.489,162.715,162.385,163.420,165.030,165.747,164.413,160.479,154.550,148.050,142.832,140.458,141.487,145.372,150.753,155.969,159.940,162.240,163.179,163.755,164.538,165.810,167.161,167.822,167.258,165.392,162.911,160.760,159.888,160.530,162.053,163.315,162.906,159.928,154.577,147.999,141.997,138.333,137.973,140.881,145.955,151.558,156.231,159.251,274.932,161.450,162.119,152.254,143.631,135.571,127.415,118.895,110.318,102.686,96.977,93.722,92.632,92.759,93.148,91.213,86.626,80.292,73.782,68.972,67.227,68.996,73.419,79.051,84.345,88.146,90.279,91.221,91.897,92.866,94.232,95.507,96.000,95.130,93.105,90.584,88.620,88.095,88.967,90.559,91.546,90.585,86.984,81.147,74.418,68.731,65.684,66.104,69.648,75.095,80.729,85.250,88.053,89.392,90.117,91.005,92.336,93.838,94.806,94.557,92.982,90.503,88.180,86.922,87.211,88.594,89.963,89.834,87.290,82.258,75.670,69.373,65.146,64.240,66.725,71.614,77.385,82.449,85.926,87.743,88.684,89.462</history>
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-10-01 00:00:00 to 2025-10-09 07:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, which made 132 readings from 2025-10-01 00:00:00 to 2025-10-06 11:00:00 unreliable. The technical team has replaced the new sensor, and the new readings from 2025-10-06 12:00:00 has returned to normal. At the point of replacement, the temperature reading jumped significantly, and then returned to normal.
Forecast the future 56 readings from this sensor, from 2025-10-09 08:00:00 to 2025-10-11 15:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template1/item1
|
GIFT synthesize
|
phase_change
|
H
|
104.658,106.005,101.887,104.420,105.007,108.536,105.399,107.260,110.036,108.198,106.236,106.088,109.616,110.407,107.739,109.990,104.990,109.869,108.596,108.423,107.068,106.550,108.298,106.176,107.253,109.353,100.568,106.467,104.751,104.903,106.629,105.802,103.338,102.943,103.297,105.107,103.708,104.650,104.474,105.628,103.340,106.460,104.375,103.913,101.609,100.250,99.737,101.031,101.502,102.816,105.829,103.984,99.164,104.655,106.615,107.737,107.792,102.090,101.487,104.215,102.209,103.123,103.655,101.446,104.700,100.755,101.663,102.998,102.954,103.304,104.532,98.478,106.631,104.764,100.184,104.678,101.380,106.353,100.301,104.479,103.487,106.990,104.959,105.011,107.675,107.816,109.516,103.693,105.990,104.707,104.763,106.450,105.936,104.217,106.602,104.120,105.234,106.494,105.792,103.139,102.415,146.112,101.724,92.453,87.771,90.266,91.385,90.933,88.561,86.416,87.039,86.107,85.843,83.854,86.323,86.294,85.448,88.064,86.898,88.749,86.327,88.665,89.273,87.583,91.214,89.166,87.183,90.416,87.842,85.528,85.728,90.651,90.324,88.624,84.801,85.827,84.882,91.180,86.351,88.586,92.307,89.727,87.471,88.155,89.454,87.742,90.516,91.900,93.550,95.224,93.802,88.849,92.364,93.453,92.720,90.360
|
2025-10-01 00:00:00
|
2025-10-07 11:00:00
|
89.590,92.075,92.144,92.265,87.380,91.216,89.566,90.758,92.548,89.584,90.155,83.913,88.643,88.853,88.944,85.802,88.890,86.720,87.140,86.910,85.636,85.342,86.572,88.185,86.906,85.284,84.730,86.493,84.400,82.237,84.861,83.249,86.156,87.616,85.608,89.374,89.933,89.092,85.833,86.261,86.438,88.064,82.599,85.664,85.078,85.268,88.119,86.617,84.952,84.589,86.305,84.119,86.295,85.554,84.937,85.464,87.153,85.047,86.658,87.357,92.512,90.785,87.852,87.862,92.390,89.378,90.463,88.098,90.829,91.224,89.170,88.381,87.040,89.236,87.621,86.684,84.800,88.830,86.907,88.937,84.845,84.612,86.822,84.732,86.175,85.974,85.461,83.025,83.940,85.268,81.262,81.386,85.984,82.952,84.249,81.762,81.353,85.573,81.887,83.064
|
2025-10-07 12:00:00
|
2025-10-11 15:00:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 100 readings from this sensor, from 2025-10-07 12:00:00 to 2025-10-11 15:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-10-01 00:00:00 to 2025-10-07 11:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, which made 105 readings from 2025-10-01 00:00:00 to 2025-10-05 08:00:00 unreliable. The technical team has replaced the new sensor, and the new readings from 2025-10-05 09:00:00 has returned to normal. At the point of replacement, the temperature reading jumped significantly, and then returned to normal.
|
<history>104.658,106.005,101.887,104.420,105.007,108.536,105.399,107.260,110.036,108.198,106.236,106.088,109.616,110.407,107.739,109.990,104.990,109.869,108.596,108.423,107.068,106.550,108.298,106.176,107.253,109.353,100.568,106.467,104.751,104.903,106.629,105.802,103.338,102.943,103.297,105.107,103.708,104.650,104.474,105.628,103.340,106.460,104.375,103.913,101.609,100.250,99.737,101.031,101.502,102.816,105.829,103.984,99.164,104.655,106.615,107.737,107.792,102.090,101.487,104.215,102.209,103.123,103.655,101.446,104.700,100.755,101.663,102.998,102.954,103.304,104.532,98.478,106.631,104.764,100.184,104.678,101.380,106.353,100.301,104.479,103.487,106.990,104.959,105.011,107.675,107.816,109.516,103.693,105.990,104.707,104.763,106.450,105.936,104.217,106.602,104.120,105.234,106.494,105.792,103.139,102.415,146.112,101.724,92.453,87.771,90.266,91.385,90.933,88.561,86.416,87.039,86.107,85.843,83.854,86.323,86.294,85.448,88.064,86.898,88.749,86.327,88.665,89.273,87.583,91.214,89.166,87.183,90.416,87.842,85.528,85.728,90.651,90.324,88.624,84.801,85.827,84.882,91.180,86.351,88.586,92.307,89.727,87.471,88.155,89.454,87.742,90.516,91.900,93.550,95.224,93.802,88.849,92.364,93.453,92.720,90.360</history>
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-10-01 00:00:00 to 2025-10-07 11:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, which made 105 readings from 2025-10-01 00:00:00 to 2025-10-05 08:00:00 unreliable. The technical team has replaced the new sensor, and the new readings from 2025-10-05 09:00:00 has returned to normal. At the point of replacement, the temperature reading jumped significantly, and then returned to normal.
Forecast the future 100 readings from this sensor, from 2025-10-07 12:00:00 to 2025-10-11 15:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template2/item1
|
GIFT synthesize
|
phase_change
|
H
|
42.403,42.888,42.583,41.971,42.485,43.088,42.005,42.026,42.852,41.686,41.354,42.464,41.861,42.944,44.918,45.476,45.231,46.632,46.883,48.171,48.618,49.485,49.470,48.861,47.905,47.156,48.478,47.371,47.660,46.049,46.499,46.433,43.937,42.769,41.994,41.925,41.563,43.499,43.845,44.091,45.054,44.453,42.580,40.969,40.499,40.363,42.258,43.402,43.377,45.869,47.640,47.938,48.810,47.566,49.645,48.468,48.462,48.354,48.084,48.093,46.850,46.839,47.336,47.652,50.050,49.228,52.245,51.093,51.594,53.342,53.580,54.807,54.047,54.580,53.765,53.797,52.296,52.892,53.336,52.564,52.895,51.190,51.507,49.324,48.740,47.487,46.840,46.073,48.415,48.909,49.044,48.923,49.380,48.619,46.194,46.723,45.301,46.692,47.804,49.089,50.839,51.628,52.577,53.605,53.804,52.102,53.071,53.623,53.323,52.451,51.529,51.344,50.383,51.930,51.786,54.015,54.674,55.291,56.186,55.154,57.282,57.740,57.853,58.730,58.320,58.730,57.741,57.830,56.868,56.377,55.181,56.384,55.508,54.190,53.400,50.866,50.060,49.641,51.324,51.036,52.694,53.433,53.769,52.779,51.109,50.448,48.769,49.250,49.816,50.821,52.358,53.066,55.010,56.238,56.330,57.483,55.923,55.913,56.634,56.921,55.875,54.608,55.119,53.091,53.729,55.513,55.550,56.989,57.447,56.991,58.542,60.213,59.933,60.309,60.676,60.886,60.261,60.994,59.263,59.938,59.406,59.446,25.167,57.280,59.389,59.249,59.312,60.235,59.907,61.004,62.511,64.927,67.076,67.247,67.454,67.362,67.346,65.866,66.113,66.497,68.448,69.464,70.931,72.721
|
2025-08-01 00:00:00
|
2025-08-09 11:00:00
|
73.157,73.127,74.600,74.330,72.997,74.178,73.742,71.787,71.668,71.096,70.717,71.922,72.246,73.926,74.537,74.053,75.363,75.557,76.797,77.264,77.660,78.313,78.239,77.909,77.220,77.902,76.478,76.103,75.560,74.446,74.857,73.379,72.516,70.479,69.801,69.352,68.244,70.253,70.566,71.884,71.890,70.966,68.945,68.480,67.768,67.015,67.043,68.445,69.807,71.438,71.730,72.798,73.315,72.852,73.128,74.243,73.228,71.965,72.216,72.159,71.913,71.179,71.970,70.894,72.993,73.447,74.534,76.320,75.317,77.221,77.308,77.241,76.846,78.385,78.272,78.605,76.480,74.785,75.918,75.239,74.701,74.031,73.179,72.211,72.128,69.949,68.993,67.837,69.065,69.928,70.843,71.074,70.380,68.357,67.036,66.674,66.091,66.277,67.688,69.273,70.751,72.507,72.363,74.051,73.397,73.404,73.422,73.188,72.478,72.094,71.928,70.789,70.887,70.605,73.154,72.080,72.504,73.909,74.854,75.468,76.580,75.441,77.273,76.964,77.721,77.331,77.543,77.309,75.367,74.677,73.987,74.809,73.335,73.197,71.463,70.305,68.577,68.204,67.550,67.879,70.283,70.031,70.099,70.474,68.849,66.526,66.945,64.965,67.264,67.155,68.299,70.624,70.764,71.912,71.245,72.673,72.097,73.013,72.023,72.255,71.873,71.780,71.365,70.941,70.820,70.622,71.978,71.771,72.886,73.257,74.202,74.978,74.457,75.927,75.860,76.767,75.848,76.169,74.296,74.962
|
2025-08-09 12:00:00
|
2025-08-16 23:00:00
|
,
| 180
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 180 readings from this sensor, from 2025-08-09 12:00:00 to 2025-08-16 23:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-08-01 00:00:00 to 2025-08-09 11:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, which made 202 readings from 2025-08-01 00:00:00 to 2025-08-09 09:00:00 unreliable. The technical team has replaced the new sensor, and the new readings from 2025-08-09 10:00:00 has returned to normal. At the point of replacement, the temperature reading changed significantly, and then returned to normal.
|
<history>42.403,42.888,42.583,41.971,42.485,43.088,42.005,42.026,42.852,41.686,41.354,42.464,41.861,42.944,44.918,45.476,45.231,46.632,46.883,48.171,48.618,49.485,49.470,48.861,47.905,47.156,48.478,47.371,47.660,46.049,46.499,46.433,43.937,42.769,41.994,41.925,41.563,43.499,43.845,44.091,45.054,44.453,42.580,40.969,40.499,40.363,42.258,43.402,43.377,45.869,47.640,47.938,48.810,47.566,49.645,48.468,48.462,48.354,48.084,48.093,46.850,46.839,47.336,47.652,50.050,49.228,52.245,51.093,51.594,53.342,53.580,54.807,54.047,54.580,53.765,53.797,52.296,52.892,53.336,52.564,52.895,51.190,51.507,49.324,48.740,47.487,46.840,46.073,48.415,48.909,49.044,48.923,49.380,48.619,46.194,46.723,45.301,46.692,47.804,49.089,50.839,51.628,52.577,53.605,53.804,52.102,53.071,53.623,53.323,52.451,51.529,51.344,50.383,51.930,51.786,54.015,54.674,55.291,56.186,55.154,57.282,57.740,57.853,58.730,58.320,58.730,57.741,57.830,56.868,56.377,55.181,56.384,55.508,54.190,53.400,50.866,50.060,49.641,51.324,51.036,52.694,53.433,53.769,52.779,51.109,50.448,48.769,49.250,49.816,50.821,52.358,53.066,55.010,56.238,56.330,57.483,55.923,55.913,56.634,56.921,55.875,54.608,55.119,53.091,53.729,55.513,55.550,56.989,57.447,56.991,58.542,60.213,59.933,60.309,60.676,60.886,60.261,60.994,59.263,59.938,59.406,59.446,25.167,57.280,59.389,59.249,59.312,60.235,59.907,61.004,62.511,64.927,67.076,67.247,67.454,67.362,67.346,65.866,66.113,66.497,68.448,69.464,70.931,72.721</history>
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-08-01 00:00:00 to 2025-08-09 11:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, which made 202 readings from 2025-08-01 00:00:00 to 2025-08-09 09:00:00 unreliable. The technical team has replaced the new sensor, and the new readings from 2025-08-09 10:00:00 has returned to normal. At the point of replacement, the temperature reading changed significantly, and then returned to normal.
Forecast the future 180 readings from this sensor, from 2025-08-09 12:00:00 to 2025-08-16 23:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template3/item1
|
GIFT synthesize
|
phase_change
|
H
|
68.076,67.938,67.785,67.609,67.404,67.168,66.904,66.620,66.329,66.046,65.789,65.580,65.432,65.359,65.358,65.437,65.578,65.766,65.978,66.192,66.378,66.517,66.591,66.598,66.539,66.418,66.261,66.093,65.937,65.822,65.773,65.805,65.930,66.145,66.437,66.795,67.186,67.587,67.968,68.306,68.578,68.770,68.876,68.903,68.857,68.754,68.608,68.439,68.265,68.093,67.938,67.799,67.673,67.559,67.451,67.342,67.226,67.099,66.964,66.828,66.694,66.571,66.469,66.394,66.355,66.347,66.377,66.431,66.501,66.577,66.648,66.700,66.727,66.726,66.688,66.621,66.531,66.422,66.303,66.181,66.057,65.938,65.815,43.025,65.548,70.079,73.730,76.499,78.382,79.390,79.103,78.813,78.542,78.307,78.124,78.010,77.970,78.007,78.114,78.278,78.479,78.695,78.900,79.067,79.182,79.231,79.212,79.129,78.997,78.835,78.675,78.538,78.452,78.437,78.509,78.673,78.921,79.242,79.616,80.015,80.410,80.776,81.088,81.329,81.487,81.560,81.557,81.485,81.362,81.207,81.036,80.862,80.696,80.550,80.418,80.305,80.200,80.098,79.994,79.879,79.759,79.631,79.502,79.379,79.270,79.182,79.126,79.103,79.114,79.153,79.219,79.295,79.373,79.442,79.488,79.509,79.498,79.454,79.384,79.291,79.186,79.071,78.954,78.841,78.728,78.614,78.489,78.350,78.187,77.995,77.771,77.518,77.240,76.953,76.672,76.414,76.199,76.045,75.960,75.955,76.024,76.162,76.349,76.568
|
2025-08-01 00:00:00
|
2025-08-08 15:00:00
|
76.788,76.987,77.141,77.237,77.266,77.224,77.122,76.979,76.820,76.667,76.551,76.500,76.526,76.642,76.849,77.138,77.494,77.891,78.302,78.696,79.049,79.342,79.551,79.678,79.721,79.692,79.601,79.466,79.307,79.140,78.977,78.828,78.699,78.586,78.484,78.390,78.295,78.194,78.081,77.958,77.830,77.705,77.587,77.488,77.418,77.382,77.381,77.414,77.478,77.563,77.654,77.744,77.815,77.862,77.877,77.858,77.806,77.728,77.632,77.520,77.405,77.292,77.183,77.071,76.958,76.836,76.693,76.527,76.330,76.101,75.845,75.570,75.291,75.024,74.788,74.603,74.483,74.441,74.475,74.582,74.753,74.966,75.195,75.419,75.610,75.753,75.830,75.835,75.775,75.660,75.514,75.361,75.230,75.146,75.133,75.206,75.368,75.621,75.950,76.336,76.751,77.167,77.557,77.896,78.166,78.352,78.457,78.480,78.438,78.339,78.203,78.054,77.898,77.752,77.623,77.507,77.408,77.315,77.224,77.131,77.028,76.915,76.795,76.671,76.553,76.447,76.369,76.322,76.310,76.335,76.394,76.480,76.579,76.682,76.776,76.849,76.894,76.904,76.881,76.825,76.744,76.647,76.539,76.428,76.318,76.209,76.104,75.988,75.862,75.717,75.546,75.341,75.112,74.860,74.595,74.335,74.098,73.899,73.754,73.681,73.684,73.761,73.907,74.105,74.332,74.568,74.786,74.964,75.085,75.141,75.126,75.052,74.934,74.796,74.660,74.558,74.513,74.542,74.660,74.868,75.159,75.519,75.922,76.344,76.757,77.136,77.456,77.701,77.867,77.951,77.959,77.907,77.807,77.677,77.536,77.395,77.263,77.148,77.047,76.954
|
2025-08-08 16:00:00
|
2025-08-16 23:00:00
|
,
| 200
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 200 readings from this sensor, from 2025-08-08 16:00:00 to 2025-08-16 23:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-08-01 00:00:00 to 2025-08-08 15:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, which made 90 readings from 2025-08-01 00:00:00 to 2025-08-04 17:00:00 unreliable. The technical team has replaced the new sensor, and the new readings from 2025-08-04 18:00:00 has returned to normal. At the point of replacement, the temperature reading changed significantly, and then returned to normal.
|
<history>68.076,67.938,67.785,67.609,67.404,67.168,66.904,66.620,66.329,66.046,65.789,65.580,65.432,65.359,65.358,65.437,65.578,65.766,65.978,66.192,66.378,66.517,66.591,66.598,66.539,66.418,66.261,66.093,65.937,65.822,65.773,65.805,65.930,66.145,66.437,66.795,67.186,67.587,67.968,68.306,68.578,68.770,68.876,68.903,68.857,68.754,68.608,68.439,68.265,68.093,67.938,67.799,67.673,67.559,67.451,67.342,67.226,67.099,66.964,66.828,66.694,66.571,66.469,66.394,66.355,66.347,66.377,66.431,66.501,66.577,66.648,66.700,66.727,66.726,66.688,66.621,66.531,66.422,66.303,66.181,66.057,65.938,65.815,43.025,65.548,70.079,73.730,76.499,78.382,79.390,79.103,78.813,78.542,78.307,78.124,78.010,77.970,78.007,78.114,78.278,78.479,78.695,78.900,79.067,79.182,79.231,79.212,79.129,78.997,78.835,78.675,78.538,78.452,78.437,78.509,78.673,78.921,79.242,79.616,80.015,80.410,80.776,81.088,81.329,81.487,81.560,81.557,81.485,81.362,81.207,81.036,80.862,80.696,80.550,80.418,80.305,80.200,80.098,79.994,79.879,79.759,79.631,79.502,79.379,79.270,79.182,79.126,79.103,79.114,79.153,79.219,79.295,79.373,79.442,79.488,79.509,79.498,79.454,79.384,79.291,79.186,79.071,78.954,78.841,78.728,78.614,78.489,78.350,78.187,77.995,77.771,77.518,77.240,76.953,76.672,76.414,76.199,76.045,75.960,75.955,76.024,76.162,76.349,76.568</history>
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-08-01 00:00:00 to 2025-08-08 15:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, which made 90 readings from 2025-08-01 00:00:00 to 2025-08-04 17:00:00 unreliable. The technical team has replaced the new sensor, and the new readings from 2025-08-04 18:00:00 has returned to normal. At the point of replacement, the temperature reading changed significantly, and then returned to normal.
Forecast the future 200 readings from this sensor, from 2025-08-08 16:00:00 to 2025-08-16 23:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template4/item1
|
GIFT synthesize
|
phase_change
|
H
|
62.004,61.553,61.109,60.691,60.294,59.910,59.566,59.249,58.971,58.729,58.529,58.366,58.249,58.178,58.153,58.169,58.229,58.333,58.489,58.684,58.913,59.192,59.493,59.836,60.207,60.599,61.020,61.454,61.905,62.370,62.838,63.309,63.771,64.234,64.679,65.113,65.526,65.910,66.276,66.612,66.905,67.168,67.393,67.576,67.716,67.816,67.867,67.873,67.832,67.752,67.623,67.454,67.247,66.999,66.710,66.395,66.046,65.669,65.267,64.845,64.407,63.963,63.500,63.045,62.585,62.127,61.684,61.254,60.841,60.453,60.087,59.751,59.437,59.172,58.940,58.749,58.592,58.486,58.419,58.403,58.423,58.492,58.606,58.759,58.959,59.195,59.470,59.776,60.111,60.486,60.882,61.295,61.732,62.178,62.637,63.095,63.560,64.027,64.484,64.921,65.345,65.751,66.135,66.496,66.818,67.114,67.377,67.593,67.776,67.912,68.010,68.060,68.075,68.038,67.955,67.831,67.674,67.466,67.229,66.946,66.646,66.302,65.942,65.554,65.147,64.729,64.295,63.849,63.409,62.967,62.533,62.102,61.682,61.288,60.910,60.567,60.247,59.951,59.697,59.475,59.295,59.150,59.048,58.995,58.983,59.007,59.083,59.197,59.351,59.549,59.784,60.053,60.365,60.693,61.058,61.443,61.855,62.278,62.718,63.164,63.615,64.075,64.523,64.958,65.393,65.814,66.213,66.585,66.931,67.254,67.541,67.797,68.011,68.190,68.326,68.422,68.473,68.483,68.452,68.383,68.265,68.115,67.919,67.691,67.427,67.128,66.806,66.461,66.088,65.702,65.291,64.877,64.455,64.028,63.604,63.185,62.771,62.380,61.999,61.647,61.305,60.996,60.721,60.481,60.273,60.102,59.963,59.874,59.821,59.820,59.851,59.921,60.041,60.195,60.388,60.625,60.893,61.194,61.520,61.873,62.260,62.662,63.077,63.504,63.945,64.386,64.834,65.276,65.710,66.135,66.545,66.942,67.303,67.650,67.968,68.251,68.500,68.715,68.889,69.030,69.132,69.181,69.205,69.174,69.107,68.996,68.854,68.668,68.450,68.196,67.912,67.600,67.258,66.900,66.524,66.135,65.726,65.318,64.905,64.498,64.087,63.692,63.300,62.930,62.586,77.198,62.761,63.362,64.861,65.787,67.727,66.954,69.575,71.844,71.411,71.073,71.155,71.274,71.430,71.625,71.857,72.127,72.424,72.758,73.118,73.495,73.894,74.316,74.741,75.179,75.632,76.073,76.518,76.951,77.380,77.792,78.182,78.557,78.903,79.223,79.504,79.766,79.982,80.169,80.306,80.412,80.474,80.491,80.466,80.407,80.306,80.160,79.985,79.767,79.518,79.235,78.932,78.594,78.236,77.859,77.474,77.069,76.664,76.245,75.840,75.430,75.033,74.652,74.281,73.941,73.614,73.314,73.045,72.812,72.613,72.444,72.322,72.234,72.198,72.191,72.234,72.310,72.433,72.594,72.799,73.047,73.317,73.626,73.965,74.326,74.722,75.129,75.560,75.997,76.449,76.907,77.362,77.820,78.265,78.707,79.130,79.533,79.914,80.275,80.602,80.900,81.164,81.393,81.578,81.729,81.836,81.901,81.924,81.911,81.850,81.744,81.606,81.427,81.207,80.951,80.673,80.355,80.016,79.658,79.272,78.881,78.468,78.052,77.633,77.215,76.797,76.392,76.005,75.631,75.275,74.942,74.640,74.369,74.128,73.928,73.766,73.638,73.553,73.517,73.509,73.561,73.648,73.778,73.954,74.162,74.411,74.704,75.022,75.375,75.756,76.164,76.592,77.037,77.499,77.960,78.440,78.916,79.391,79.854,80.309,80.747,81.169,81.573,81.936,82.287,82.591,82.873,83.105,83.300,83.463,83.571,83.647,83.674,83.656,83.593,83.492,83.343,83.160,82.939,82.681,82.387,82.068,81.720,81.345,80.950,80.545,80.134,79.701,79.269,78.845,78.419,78.000,77.601,77.222,76.856,76.521,76.214
|
2025-08-01 00:00:00
|
2025-08-20 05:00:00
|
75.936,75.691,75.490,75.323,75.195,75.118,75.078,75.086,75.134,75.233,75.371,75.552,75.784,76.043,76.343,76.678,77.048,77.442,77.869,78.311,78.777,79.251,79.735,80.232,80.730,81.210,81.695,82.163,82.620,83.052,83.464,83.848,84.198,84.518,84.801,85.051,85.253,85.414,85.534,85.607,85.628,85.618,85.557,85.451,85.310,85.114,84.892,84.627,84.330,84.006
|
2025-08-20 06:00:00
|
2025-08-22 07:00:00
|
,
| 50
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 50 readings from this sensor, from 2025-08-20 06:00:00 to 2025-08-22 07:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-08-01 00:00:00 to 2025-08-20 05:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, which made 275 readings from 2025-08-01 00:00:00 to 2025-08-12 10:00:00 unreliable. The technical team has replaced the new sensor, and the new readings from 2025-08-12 11:00:00 has returned to normal. At the point of replacement, the temperature reading changed significantly, and then returned to normal.
|
<history>62.004,61.553,61.109,60.691,60.294,59.910,59.566,59.249,58.971,58.729,58.529,58.366,58.249,58.178,58.153,58.169,58.229,58.333,58.489,58.684,58.913,59.192,59.493,59.836,60.207,60.599,61.020,61.454,61.905,62.370,62.838,63.309,63.771,64.234,64.679,65.113,65.526,65.910,66.276,66.612,66.905,67.168,67.393,67.576,67.716,67.816,67.867,67.873,67.832,67.752,67.623,67.454,67.247,66.999,66.710,66.395,66.046,65.669,65.267,64.845,64.407,63.963,63.500,63.045,62.585,62.127,61.684,61.254,60.841,60.453,60.087,59.751,59.437,59.172,58.940,58.749,58.592,58.486,58.419,58.403,58.423,58.492,58.606,58.759,58.959,59.195,59.470,59.776,60.111,60.486,60.882,61.295,61.732,62.178,62.637,63.095,63.560,64.027,64.484,64.921,65.345,65.751,66.135,66.496,66.818,67.114,67.377,67.593,67.776,67.912,68.010,68.060,68.075,68.038,67.955,67.831,67.674,67.466,67.229,66.946,66.646,66.302,65.942,65.554,65.147,64.729,64.295,63.849,63.409,62.967,62.533,62.102,61.682,61.288,60.910,60.567,60.247,59.951,59.697,59.475,59.295,59.150,59.048,58.995,58.983,59.007,59.083,59.197,59.351,59.549,59.784,60.053,60.365,60.693,61.058,61.443,61.855,62.278,62.718,63.164,63.615,64.075,64.523,64.958,65.393,65.814,66.213,66.585,66.931,67.254,67.541,67.797,68.011,68.190,68.326,68.422,68.473,68.483,68.452,68.383,68.265,68.115,67.919,67.691,67.427,67.128,66.806,66.461,66.088,65.702,65.291,64.877,64.455,64.028,63.604,63.185,62.771,62.380,61.999,61.647,61.305,60.996,60.721,60.481,60.273,60.102,59.963,59.874,59.821,59.820,59.851,59.921,60.041,60.195,60.388,60.625,60.893,61.194,61.520,61.873,62.260,62.662,63.077,63.504,63.945,64.386,64.834,65.276,65.710,66.135,66.545,66.942,67.303,67.650,67.968,68.251,68.500,68.715,68.889,69.030,69.132,69.181,69.205,69.174,69.107,68.996,68.854,68.668,68.450,68.196,67.912,67.600,67.258,66.900,66.524,66.135,65.726,65.318,64.905,64.498,64.087,63.692,63.300,62.930,62.586,77.198,62.761,63.362,64.861,65.787,67.727,66.954,69.575,71.844,71.411,71.073,71.155,71.274,71.430,71.625,71.857,72.127,72.424,72.758,73.118,73.495,73.894,74.316,74.741,75.179,75.632,76.073,76.518,76.951,77.380,77.792,78.182,78.557,78.903,79.223,79.504,79.766,79.982,80.169,80.306,80.412,80.474,80.491,80.466,80.407,80.306,80.160,79.985,79.767,79.518,79.235,78.932,78.594,78.236,77.859,77.474,77.069,76.664,76.245,75.840,75.430,75.033,74.652,74.281,73.941,73.614,73.314,73.045,72.812,72.613,72.444,72.322,72.234,72.198,72.191,72.234,72.310,72.433,72.594,72.799,73.047,73.317,73.626,73.965,74.326,74.722,75.129,75.560,75.997,76.449,76.907,77.362,77.820,78.265,78.707,79.130,79.533,79.914,80.275,80.602,80.900,81.164,81.393,81.578,81.729,81.836,81.901,81.924,81.911,81.850,81.744,81.606,81.427,81.207,80.951,80.673,80.355,80.016,79.658,79.272,78.881,78.468,78.052,77.633,77.215,76.797,76.392,76.005,75.631,75.275,74.942,74.640,74.369,74.128,73.928,73.766,73.638,73.553,73.517,73.509,73.561,73.648,73.778,73.954,74.162,74.411,74.704,75.022,75.375,75.756,76.164,76.592,77.037,77.499,77.960,78.440,78.916,79.391,79.854,80.309,80.747,81.169,81.573,81.936,82.287,82.591,82.873,83.105,83.300,83.463,83.571,83.647,83.674,83.656,83.593,83.492,83.343,83.160,82.939,82.681,82.387,82.068,81.720,81.345,80.950,80.545,80.134,79.701,79.269,78.845,78.419,78.000,77.601,77.222,76.856,76.521,76.214</history>
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-08-01 00:00:00 to 2025-08-20 05:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, which made 275 readings from 2025-08-01 00:00:00 to 2025-08-12 10:00:00 unreliable. The technical team has replaced the new sensor, and the new readings from 2025-08-12 11:00:00 has returned to normal. At the point of replacement, the temperature reading changed significantly, and then returned to normal.
Forecast the future 50 readings from this sensor, from 2025-08-20 06:00:00 to 2025-08-22 07:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template0/item1
|
GIFT synthesize
|
phase_change
|
H
|
175.584,173.710,169.207,162.909,156.402,151.564,149.782,151.447,155.768,161.225,166.252,169.828,171.662,172.425,172.895,173.746,175.065,176.362,176.846,176.032,173.928,171.312,169.260,168.515,169.295,170.835,171.854,171.004,167.591,161.933,155.380,149.768,146.752,147.045,150.447,155.626,160.963,165.129,167.587,168.686,169.108,169.838,171.030,172.436,173.340,173.104,171.455,169.007,166.604,165.272,165.484,166.890,168.293,168.352,165.987,161.148,154.797,148.641,144.429,143.406,145.647,150.322,155.782,160.532,163.729,165.302,165.927,166.485,167.521,168.882,170.091,170.346,169.230,167.036,164.489,162.715,162.385,163.420,165.030,165.747,164.413,160.479,154.550,148.050,142.832,140.458,141.487,145.372,150.753,155.969,159.940,162.240,163.179,163.755,164.538,165.810,167.161,167.822,167.258,165.392,162.911,160.760,159.888,160.530,162.053,163.315,162.906,159.928,154.577,147.999,141.997,138.333,137.973,140.881,145.955,151.558,156.231,159.251,274.932,161.450,162.119,152.254,143.631,135.571,127.415,118.895,110.318,102.686,96.977,93.722,92.632,92.759,93.148,91.213,86.626,80.292,73.782,68.972,67.227,68.996,73.419,79.051,84.345,88.146,90.279,91.221,91.897,92.866,94.232,95.507,96.000,95.130,93.105,90.584,88.620,88.095,88.967,90.559,91.546,90.585,86.984,81.147,74.418,68.731,65.684,66.104,69.648,75.095,80.729,85.250,88.053,89.392,90.117,91.005,92.336,93.838,94.806,94.557,92.982,90.503,88.180,86.922,87.211,88.594,89.963,89.834,87.290,82.258,75.670,69.373,65.146,64.240,66.725,71.614,77.385,82.449,85.926,87.743,88.684,89.462
|
2025-10-01 00:00:00
|
2025-10-09 07:00:00
|
90.741,92.351,93.725,94.101,93.085,90.896,88.329,86.481,86.055,87.044,88.488,89.083,87.567,83.492,77.371,70.812,65.658,63.391,64.613,68.726,74.326,79.816,83.923,86.402,87.576,88.377,89.478,91.064,92.748,93.654,93.254,91.456,88.915,86.627,85.582,86.035,87.394,88.470,87.927,84.875,79.431,72.883,66.987,63.500,63.395,66.468,71.712,77.389,82.135,85.254,86.865,87.786,88.689,90.161,91.906,93.178
|
2025-10-09 08:00:00
|
2025-10-11 15:00:00
|
,
| 56
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 56 readings from this sensor, from 2025-10-09 08:00:00 to 2025-10-11 15:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-10-01 00:00:00 to 2025-10-09 07:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, resulted in unrealiable readings. The technical team has replaced the new sensor, which could record reliable reading again. At the point of replacement, the temperature reading jumped significantly, and then returned to normal.
|
<history>175.584,173.710,169.207,162.909,156.402,151.564,149.782,151.447,155.768,161.225,166.252,169.828,171.662,172.425,172.895,173.746,175.065,176.362,176.846,176.032,173.928,171.312,169.260,168.515,169.295,170.835,171.854,171.004,167.591,161.933,155.380,149.768,146.752,147.045,150.447,155.626,160.963,165.129,167.587,168.686,169.108,169.838,171.030,172.436,173.340,173.104,171.455,169.007,166.604,165.272,165.484,166.890,168.293,168.352,165.987,161.148,154.797,148.641,144.429,143.406,145.647,150.322,155.782,160.532,163.729,165.302,165.927,166.485,167.521,168.882,170.091,170.346,169.230,167.036,164.489,162.715,162.385,163.420,165.030,165.747,164.413,160.479,154.550,148.050,142.832,140.458,141.487,145.372,150.753,155.969,159.940,162.240,163.179,163.755,164.538,165.810,167.161,167.822,167.258,165.392,162.911,160.760,159.888,160.530,162.053,163.315,162.906,159.928,154.577,147.999,141.997,138.333,137.973,140.881,145.955,151.558,156.231,159.251,274.932,161.450,162.119,152.254,143.631,135.571,127.415,118.895,110.318,102.686,96.977,93.722,92.632,92.759,93.148,91.213,86.626,80.292,73.782,68.972,67.227,68.996,73.419,79.051,84.345,88.146,90.279,91.221,91.897,92.866,94.232,95.507,96.000,95.130,93.105,90.584,88.620,88.095,88.967,90.559,91.546,90.585,86.984,81.147,74.418,68.731,65.684,66.104,69.648,75.095,80.729,85.250,88.053,89.392,90.117,91.005,92.336,93.838,94.806,94.557,92.982,90.503,88.180,86.922,87.211,88.594,89.963,89.834,87.290,82.258,75.670,69.373,65.146,64.240,66.725,71.614,77.385,82.449,85.926,87.743,88.684,89.462</history>
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-10-01 00:00:00 to 2025-10-09 07:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, resulted in unrealiable readings. The technical team has replaced the new sensor, which could record reliable reading again. At the point of replacement, the temperature reading jumped significantly, and then returned to normal.
Forecast the future 56 readings from this sensor, from 2025-10-09 08:00:00 to 2025-10-11 15:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template1/item1
|
GIFT synthesize
|
phase_change
|
H
|
104.658,106.005,101.887,104.420,105.007,108.536,105.399,107.260,110.036,108.198,106.236,106.088,109.616,110.407,107.739,109.990,104.990,109.869,108.596,108.423,107.068,106.550,108.298,106.176,107.253,109.353,100.568,106.467,104.751,104.903,106.629,105.802,103.338,102.943,103.297,105.107,103.708,104.650,104.474,105.628,103.340,106.460,104.375,103.913,101.609,100.250,99.737,101.031,101.502,102.816,105.829,103.984,99.164,104.655,106.615,107.737,107.792,102.090,101.487,104.215,102.209,103.123,103.655,101.446,104.700,100.755,101.663,102.998,102.954,103.304,104.532,98.478,106.631,104.764,100.184,104.678,101.380,106.353,100.301,104.479,103.487,106.990,104.959,105.011,107.675,107.816,109.516,103.693,105.990,104.707,104.763,106.450,105.936,104.217,106.602,104.120,105.234,106.494,105.792,103.139,102.415,146.112,101.724,92.453,87.771,90.266,91.385,90.933,88.561,86.416,87.039,86.107,85.843,83.854,86.323,86.294,85.448,88.064,86.898,88.749,86.327,88.665,89.273,87.583,91.214,89.166,87.183,90.416,87.842,85.528,85.728,90.651,90.324,88.624,84.801,85.827,84.882,91.180,86.351,88.586,92.307,89.727,87.471,88.155,89.454,87.742,90.516,91.900,93.550,95.224,93.802,88.849,92.364,93.453,92.720,90.360
|
2025-10-01 00:00:00
|
2025-10-07 11:00:00
|
89.590,92.075,92.144,92.265,87.380,91.216,89.566,90.758,92.548,89.584,90.155,83.913,88.643,88.853,88.944,85.802,88.890,86.720,87.140,86.910,85.636,85.342,86.572,88.185,86.906,85.284,84.730,86.493,84.400,82.237,84.861,83.249,86.156,87.616,85.608,89.374,89.933,89.092,85.833,86.261,86.438,88.064,82.599,85.664,85.078,85.268,88.119,86.617,84.952,84.589,86.305,84.119,86.295,85.554,84.937,85.464,87.153,85.047,86.658,87.357,92.512,90.785,87.852,87.862,92.390,89.378,90.463,88.098,90.829,91.224,89.170,88.381,87.040,89.236,87.621,86.684,84.800,88.830,86.907,88.937,84.845,84.612,86.822,84.732,86.175,85.974,85.461,83.025,83.940,85.268,81.262,81.386,85.984,82.952,84.249,81.762,81.353,85.573,81.887,83.064
|
2025-10-07 12:00:00
|
2025-10-11 15:00:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 100 readings from this sensor, from 2025-10-07 12:00:00 to 2025-10-11 15:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-10-01 00:00:00 to 2025-10-07 11:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, resulted in unrealiable readings. The technical team has replaced the new sensor, which could record reliable reading again. At the point of replacement, the temperature reading jumped significantly, and then returned to normal.
|
<history>104.658,106.005,101.887,104.420,105.007,108.536,105.399,107.260,110.036,108.198,106.236,106.088,109.616,110.407,107.739,109.990,104.990,109.869,108.596,108.423,107.068,106.550,108.298,106.176,107.253,109.353,100.568,106.467,104.751,104.903,106.629,105.802,103.338,102.943,103.297,105.107,103.708,104.650,104.474,105.628,103.340,106.460,104.375,103.913,101.609,100.250,99.737,101.031,101.502,102.816,105.829,103.984,99.164,104.655,106.615,107.737,107.792,102.090,101.487,104.215,102.209,103.123,103.655,101.446,104.700,100.755,101.663,102.998,102.954,103.304,104.532,98.478,106.631,104.764,100.184,104.678,101.380,106.353,100.301,104.479,103.487,106.990,104.959,105.011,107.675,107.816,109.516,103.693,105.990,104.707,104.763,106.450,105.936,104.217,106.602,104.120,105.234,106.494,105.792,103.139,102.415,146.112,101.724,92.453,87.771,90.266,91.385,90.933,88.561,86.416,87.039,86.107,85.843,83.854,86.323,86.294,85.448,88.064,86.898,88.749,86.327,88.665,89.273,87.583,91.214,89.166,87.183,90.416,87.842,85.528,85.728,90.651,90.324,88.624,84.801,85.827,84.882,91.180,86.351,88.586,92.307,89.727,87.471,88.155,89.454,87.742,90.516,91.900,93.550,95.224,93.802,88.849,92.364,93.453,92.720,90.360</history>
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-10-01 00:00:00 to 2025-10-07 11:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, resulted in unrealiable readings. The technical team has replaced the new sensor, which could record reliable reading again. At the point of replacement, the temperature reading jumped significantly, and then returned to normal.
Forecast the future 100 readings from this sensor, from 2025-10-07 12:00:00 to 2025-10-11 15:00:00, given that the sensor has been fixed. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template2/item1
|
GIFT synthesize
|
phase_change
|
H
|
42.403,42.888,42.583,41.971,42.485,43.088,42.005,42.026,42.852,41.686,41.354,42.464,41.861,42.944,44.918,45.476,45.231,46.632,46.883,48.171,48.618,49.485,49.470,48.861,47.905,47.156,48.478,47.371,47.660,46.049,46.499,46.433,43.937,42.769,41.994,41.925,41.563,43.499,43.845,44.091,45.054,44.453,42.580,40.969,40.499,40.363,42.258,43.402,43.377,45.869,47.640,47.938,48.810,47.566,49.645,48.468,48.462,48.354,48.084,48.093,46.850,46.839,47.336,47.652,50.050,49.228,52.245,51.093,51.594,53.342,53.580,54.807,54.047,54.580,53.765,53.797,52.296,52.892,53.336,52.564,52.895,51.190,51.507,49.324,48.740,47.487,46.840,46.073,48.415,48.909,49.044,48.923,49.380,48.619,46.194,46.723,45.301,46.692,47.804,49.089,50.839,51.628,52.577,53.605,53.804,52.102,53.071,53.623,53.323,52.451,51.529,51.344,50.383,51.930,51.786,54.015,54.674,55.291,56.186,55.154,57.282,57.740,57.853,58.730,58.320,58.730,57.741,57.830,56.868,56.377,55.181,56.384,55.508,54.190,53.400,50.866,50.060,49.641,51.324,51.036,52.694,53.433,53.769,52.779,51.109,50.448,48.769,49.250,49.816,50.821,52.358,53.066,55.010,56.238,56.330,57.483,55.923,55.913,56.634,56.921,55.875,54.608,55.119,53.091,53.729,55.513,55.550,56.989,57.447,56.991,58.542,60.213,59.933,60.309,60.676,60.886,60.261,60.994,59.263,59.938,59.406,59.446,25.167,57.280,59.389,59.249,59.312,60.235,59.907,61.004,62.511,64.927,67.076,67.247,67.454,67.362,67.346,65.866,66.113,66.497,68.448,69.464,70.931,72.721
|
2025-08-01 00:00:00
|
2025-08-09 11:00:00
|
73.157,73.127,74.600,74.330,72.997,74.178,73.742,71.787,71.668,71.096,70.717,71.922,72.246,73.926,74.537,74.053,75.363,75.557,76.797,77.264,77.660,78.313,78.239,77.909,77.220,77.902,76.478,76.103,75.560,74.446,74.857,73.379,72.516,70.479,69.801,69.352,68.244,70.253,70.566,71.884,71.890,70.966,68.945,68.480,67.768,67.015,67.043,68.445,69.807,71.438,71.730,72.798,73.315,72.852,73.128,74.243,73.228,71.965,72.216,72.159,71.913,71.179,71.970,70.894,72.993,73.447,74.534,76.320,75.317,77.221,77.308,77.241,76.846,78.385,78.272,78.605,76.480,74.785,75.918,75.239,74.701,74.031,73.179,72.211,72.128,69.949,68.993,67.837,69.065,69.928,70.843,71.074,70.380,68.357,67.036,66.674,66.091,66.277,67.688,69.273,70.751,72.507,72.363,74.051,73.397,73.404,73.422,73.188,72.478,72.094,71.928,70.789,70.887,70.605,73.154,72.080,72.504,73.909,74.854,75.468,76.580,75.441,77.273,76.964,77.721,77.331,77.543,77.309,75.367,74.677,73.987,74.809,73.335,73.197,71.463,70.305,68.577,68.204,67.550,67.879,70.283,70.031,70.099,70.474,68.849,66.526,66.945,64.965,67.264,67.155,68.299,70.624,70.764,71.912,71.245,72.673,72.097,73.013,72.023,72.255,71.873,71.780,71.365,70.941,70.820,70.622,71.978,71.771,72.886,73.257,74.202,74.978,74.457,75.927,75.860,76.767,75.848,76.169,74.296,74.962
|
2025-08-09 12:00:00
|
2025-08-16 23:00:00
|
,
| 180
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 180 readings from this sensor, from 2025-08-09 12:00:00 to 2025-08-16 23:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-08-01 00:00:00 to 2025-08-09 11:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, resulted in unrealiable readings. The technical team has replaced the new sensor, which could record reliable reading again. At the point of replacement, the temperature reading changed significantly, and then returned to normal.
|
<history>42.403,42.888,42.583,41.971,42.485,43.088,42.005,42.026,42.852,41.686,41.354,42.464,41.861,42.944,44.918,45.476,45.231,46.632,46.883,48.171,48.618,49.485,49.470,48.861,47.905,47.156,48.478,47.371,47.660,46.049,46.499,46.433,43.937,42.769,41.994,41.925,41.563,43.499,43.845,44.091,45.054,44.453,42.580,40.969,40.499,40.363,42.258,43.402,43.377,45.869,47.640,47.938,48.810,47.566,49.645,48.468,48.462,48.354,48.084,48.093,46.850,46.839,47.336,47.652,50.050,49.228,52.245,51.093,51.594,53.342,53.580,54.807,54.047,54.580,53.765,53.797,52.296,52.892,53.336,52.564,52.895,51.190,51.507,49.324,48.740,47.487,46.840,46.073,48.415,48.909,49.044,48.923,49.380,48.619,46.194,46.723,45.301,46.692,47.804,49.089,50.839,51.628,52.577,53.605,53.804,52.102,53.071,53.623,53.323,52.451,51.529,51.344,50.383,51.930,51.786,54.015,54.674,55.291,56.186,55.154,57.282,57.740,57.853,58.730,58.320,58.730,57.741,57.830,56.868,56.377,55.181,56.384,55.508,54.190,53.400,50.866,50.060,49.641,51.324,51.036,52.694,53.433,53.769,52.779,51.109,50.448,48.769,49.250,49.816,50.821,52.358,53.066,55.010,56.238,56.330,57.483,55.923,55.913,56.634,56.921,55.875,54.608,55.119,53.091,53.729,55.513,55.550,56.989,57.447,56.991,58.542,60.213,59.933,60.309,60.676,60.886,60.261,60.994,59.263,59.938,59.406,59.446,25.167,57.280,59.389,59.249,59.312,60.235,59.907,61.004,62.511,64.927,67.076,67.247,67.454,67.362,67.346,65.866,66.113,66.497,68.448,69.464,70.931,72.721</history>
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-08-01 00:00:00 to 2025-08-09 11:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, resulted in unrealiable readings. The technical team has replaced the new sensor, which could record reliable reading again. At the point of replacement, the temperature reading changed significantly, and then returned to normal.
Forecast the future 180 readings from this sensor, from 2025-08-09 12:00:00 to 2025-08-16 23:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template3/item1
|
GIFT synthesize
|
phase_change
|
H
|
68.076,67.938,67.785,67.609,67.404,67.168,66.904,66.620,66.329,66.046,65.789,65.580,65.432,65.359,65.358,65.437,65.578,65.766,65.978,66.192,66.378,66.517,66.591,66.598,66.539,66.418,66.261,66.093,65.937,65.822,65.773,65.805,65.930,66.145,66.437,66.795,67.186,67.587,67.968,68.306,68.578,68.770,68.876,68.903,68.857,68.754,68.608,68.439,68.265,68.093,67.938,67.799,67.673,67.559,67.451,67.342,67.226,67.099,66.964,66.828,66.694,66.571,66.469,66.394,66.355,66.347,66.377,66.431,66.501,66.577,66.648,66.700,66.727,66.726,66.688,66.621,66.531,66.422,66.303,66.181,66.057,65.938,65.815,43.025,65.548,70.079,73.730,76.499,78.382,79.390,79.103,78.813,78.542,78.307,78.124,78.010,77.970,78.007,78.114,78.278,78.479,78.695,78.900,79.067,79.182,79.231,79.212,79.129,78.997,78.835,78.675,78.538,78.452,78.437,78.509,78.673,78.921,79.242,79.616,80.015,80.410,80.776,81.088,81.329,81.487,81.560,81.557,81.485,81.362,81.207,81.036,80.862,80.696,80.550,80.418,80.305,80.200,80.098,79.994,79.879,79.759,79.631,79.502,79.379,79.270,79.182,79.126,79.103,79.114,79.153,79.219,79.295,79.373,79.442,79.488,79.509,79.498,79.454,79.384,79.291,79.186,79.071,78.954,78.841,78.728,78.614,78.489,78.350,78.187,77.995,77.771,77.518,77.240,76.953,76.672,76.414,76.199,76.045,75.960,75.955,76.024,76.162,76.349,76.568
|
2025-08-01 00:00:00
|
2025-08-08 15:00:00
|
76.788,76.987,77.141,77.237,77.266,77.224,77.122,76.979,76.820,76.667,76.551,76.500,76.526,76.642,76.849,77.138,77.494,77.891,78.302,78.696,79.049,79.342,79.551,79.678,79.721,79.692,79.601,79.466,79.307,79.140,78.977,78.828,78.699,78.586,78.484,78.390,78.295,78.194,78.081,77.958,77.830,77.705,77.587,77.488,77.418,77.382,77.381,77.414,77.478,77.563,77.654,77.744,77.815,77.862,77.877,77.858,77.806,77.728,77.632,77.520,77.405,77.292,77.183,77.071,76.958,76.836,76.693,76.527,76.330,76.101,75.845,75.570,75.291,75.024,74.788,74.603,74.483,74.441,74.475,74.582,74.753,74.966,75.195,75.419,75.610,75.753,75.830,75.835,75.775,75.660,75.514,75.361,75.230,75.146,75.133,75.206,75.368,75.621,75.950,76.336,76.751,77.167,77.557,77.896,78.166,78.352,78.457,78.480,78.438,78.339,78.203,78.054,77.898,77.752,77.623,77.507,77.408,77.315,77.224,77.131,77.028,76.915,76.795,76.671,76.553,76.447,76.369,76.322,76.310,76.335,76.394,76.480,76.579,76.682,76.776,76.849,76.894,76.904,76.881,76.825,76.744,76.647,76.539,76.428,76.318,76.209,76.104,75.988,75.862,75.717,75.546,75.341,75.112,74.860,74.595,74.335,74.098,73.899,73.754,73.681,73.684,73.761,73.907,74.105,74.332,74.568,74.786,74.964,75.085,75.141,75.126,75.052,74.934,74.796,74.660,74.558,74.513,74.542,74.660,74.868,75.159,75.519,75.922,76.344,76.757,77.136,77.456,77.701,77.867,77.951,77.959,77.907,77.807,77.677,77.536,77.395,77.263,77.148,77.047,76.954
|
2025-08-08 16:00:00
|
2025-08-16 23:00:00
|
,
| 200
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 200 readings from this sensor, from 2025-08-08 16:00:00 to 2025-08-16 23:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-08-01 00:00:00 to 2025-08-08 15:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, resulted in unrealiable readings. The technical team has replaced the new sensor, which could record reliable reading again. At the point of replacement, the temperature reading changed significantly, and then returned to normal.
|
<history>68.076,67.938,67.785,67.609,67.404,67.168,66.904,66.620,66.329,66.046,65.789,65.580,65.432,65.359,65.358,65.437,65.578,65.766,65.978,66.192,66.378,66.517,66.591,66.598,66.539,66.418,66.261,66.093,65.937,65.822,65.773,65.805,65.930,66.145,66.437,66.795,67.186,67.587,67.968,68.306,68.578,68.770,68.876,68.903,68.857,68.754,68.608,68.439,68.265,68.093,67.938,67.799,67.673,67.559,67.451,67.342,67.226,67.099,66.964,66.828,66.694,66.571,66.469,66.394,66.355,66.347,66.377,66.431,66.501,66.577,66.648,66.700,66.727,66.726,66.688,66.621,66.531,66.422,66.303,66.181,66.057,65.938,65.815,43.025,65.548,70.079,73.730,76.499,78.382,79.390,79.103,78.813,78.542,78.307,78.124,78.010,77.970,78.007,78.114,78.278,78.479,78.695,78.900,79.067,79.182,79.231,79.212,79.129,78.997,78.835,78.675,78.538,78.452,78.437,78.509,78.673,78.921,79.242,79.616,80.015,80.410,80.776,81.088,81.329,81.487,81.560,81.557,81.485,81.362,81.207,81.036,80.862,80.696,80.550,80.418,80.305,80.200,80.098,79.994,79.879,79.759,79.631,79.502,79.379,79.270,79.182,79.126,79.103,79.114,79.153,79.219,79.295,79.373,79.442,79.488,79.509,79.498,79.454,79.384,79.291,79.186,79.071,78.954,78.841,78.728,78.614,78.489,78.350,78.187,77.995,77.771,77.518,77.240,76.953,76.672,76.414,76.199,76.045,75.960,75.955,76.024,76.162,76.349,76.568</history>
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-08-01 00:00:00 to 2025-08-08 15:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, resulted in unrealiable readings. The technical team has replaced the new sensor, which could record reliable reading again. At the point of replacement, the temperature reading changed significantly, and then returned to normal.
Forecast the future 200 readings from this sensor, from 2025-08-08 16:00:00 to 2025-08-16 23:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template4/item1
|
GIFT synthesize
|
phase_change
|
H
|
62.004,61.553,61.109,60.691,60.294,59.910,59.566,59.249,58.971,58.729,58.529,58.366,58.249,58.178,58.153,58.169,58.229,58.333,58.489,58.684,58.913,59.192,59.493,59.836,60.207,60.599,61.020,61.454,61.905,62.370,62.838,63.309,63.771,64.234,64.679,65.113,65.526,65.910,66.276,66.612,66.905,67.168,67.393,67.576,67.716,67.816,67.867,67.873,67.832,67.752,67.623,67.454,67.247,66.999,66.710,66.395,66.046,65.669,65.267,64.845,64.407,63.963,63.500,63.045,62.585,62.127,61.684,61.254,60.841,60.453,60.087,59.751,59.437,59.172,58.940,58.749,58.592,58.486,58.419,58.403,58.423,58.492,58.606,58.759,58.959,59.195,59.470,59.776,60.111,60.486,60.882,61.295,61.732,62.178,62.637,63.095,63.560,64.027,64.484,64.921,65.345,65.751,66.135,66.496,66.818,67.114,67.377,67.593,67.776,67.912,68.010,68.060,68.075,68.038,67.955,67.831,67.674,67.466,67.229,66.946,66.646,66.302,65.942,65.554,65.147,64.729,64.295,63.849,63.409,62.967,62.533,62.102,61.682,61.288,60.910,60.567,60.247,59.951,59.697,59.475,59.295,59.150,59.048,58.995,58.983,59.007,59.083,59.197,59.351,59.549,59.784,60.053,60.365,60.693,61.058,61.443,61.855,62.278,62.718,63.164,63.615,64.075,64.523,64.958,65.393,65.814,66.213,66.585,66.931,67.254,67.541,67.797,68.011,68.190,68.326,68.422,68.473,68.483,68.452,68.383,68.265,68.115,67.919,67.691,67.427,67.128,66.806,66.461,66.088,65.702,65.291,64.877,64.455,64.028,63.604,63.185,62.771,62.380,61.999,61.647,61.305,60.996,60.721,60.481,60.273,60.102,59.963,59.874,59.821,59.820,59.851,59.921,60.041,60.195,60.388,60.625,60.893,61.194,61.520,61.873,62.260,62.662,63.077,63.504,63.945,64.386,64.834,65.276,65.710,66.135,66.545,66.942,67.303,67.650,67.968,68.251,68.500,68.715,68.889,69.030,69.132,69.181,69.205,69.174,69.107,68.996,68.854,68.668,68.450,68.196,67.912,67.600,67.258,66.900,66.524,66.135,65.726,65.318,64.905,64.498,64.087,63.692,63.300,62.930,62.586,77.198,62.761,63.362,64.861,65.787,67.727,66.954,69.575,71.844,71.411,71.073,71.155,71.274,71.430,71.625,71.857,72.127,72.424,72.758,73.118,73.495,73.894,74.316,74.741,75.179,75.632,76.073,76.518,76.951,77.380,77.792,78.182,78.557,78.903,79.223,79.504,79.766,79.982,80.169,80.306,80.412,80.474,80.491,80.466,80.407,80.306,80.160,79.985,79.767,79.518,79.235,78.932,78.594,78.236,77.859,77.474,77.069,76.664,76.245,75.840,75.430,75.033,74.652,74.281,73.941,73.614,73.314,73.045,72.812,72.613,72.444,72.322,72.234,72.198,72.191,72.234,72.310,72.433,72.594,72.799,73.047,73.317,73.626,73.965,74.326,74.722,75.129,75.560,75.997,76.449,76.907,77.362,77.820,78.265,78.707,79.130,79.533,79.914,80.275,80.602,80.900,81.164,81.393,81.578,81.729,81.836,81.901,81.924,81.911,81.850,81.744,81.606,81.427,81.207,80.951,80.673,80.355,80.016,79.658,79.272,78.881,78.468,78.052,77.633,77.215,76.797,76.392,76.005,75.631,75.275,74.942,74.640,74.369,74.128,73.928,73.766,73.638,73.553,73.517,73.509,73.561,73.648,73.778,73.954,74.162,74.411,74.704,75.022,75.375,75.756,76.164,76.592,77.037,77.499,77.960,78.440,78.916,79.391,79.854,80.309,80.747,81.169,81.573,81.936,82.287,82.591,82.873,83.105,83.300,83.463,83.571,83.647,83.674,83.656,83.593,83.492,83.343,83.160,82.939,82.681,82.387,82.068,81.720,81.345,80.950,80.545,80.134,79.701,79.269,78.845,78.419,78.000,77.601,77.222,76.856,76.521,76.214
|
2025-08-01 00:00:00
|
2025-08-20 05:00:00
|
75.936,75.691,75.490,75.323,75.195,75.118,75.078,75.086,75.134,75.233,75.371,75.552,75.784,76.043,76.343,76.678,77.048,77.442,77.869,78.311,78.777,79.251,79.735,80.232,80.730,81.210,81.695,82.163,82.620,83.052,83.464,83.848,84.198,84.518,84.801,85.051,85.253,85.414,85.534,85.607,85.628,85.618,85.557,85.451,85.310,85.114,84.892,84.627,84.330,84.006
|
2025-08-20 06:00:00
|
2025-08-22 07:00:00
|
,
| 50
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 50 readings from this sensor, from 2025-08-20 06:00:00 to 2025-08-22 07:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-08-01 00:00:00 to 2025-08-20 05:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, resulted in unrealiable readings. The technical team has replaced the new sensor, which could record reliable reading again. At the point of replacement, the temperature reading changed significantly, and then returned to normal.
|
<history>62.004,61.553,61.109,60.691,60.294,59.910,59.566,59.249,58.971,58.729,58.529,58.366,58.249,58.178,58.153,58.169,58.229,58.333,58.489,58.684,58.913,59.192,59.493,59.836,60.207,60.599,61.020,61.454,61.905,62.370,62.838,63.309,63.771,64.234,64.679,65.113,65.526,65.910,66.276,66.612,66.905,67.168,67.393,67.576,67.716,67.816,67.867,67.873,67.832,67.752,67.623,67.454,67.247,66.999,66.710,66.395,66.046,65.669,65.267,64.845,64.407,63.963,63.500,63.045,62.585,62.127,61.684,61.254,60.841,60.453,60.087,59.751,59.437,59.172,58.940,58.749,58.592,58.486,58.419,58.403,58.423,58.492,58.606,58.759,58.959,59.195,59.470,59.776,60.111,60.486,60.882,61.295,61.732,62.178,62.637,63.095,63.560,64.027,64.484,64.921,65.345,65.751,66.135,66.496,66.818,67.114,67.377,67.593,67.776,67.912,68.010,68.060,68.075,68.038,67.955,67.831,67.674,67.466,67.229,66.946,66.646,66.302,65.942,65.554,65.147,64.729,64.295,63.849,63.409,62.967,62.533,62.102,61.682,61.288,60.910,60.567,60.247,59.951,59.697,59.475,59.295,59.150,59.048,58.995,58.983,59.007,59.083,59.197,59.351,59.549,59.784,60.053,60.365,60.693,61.058,61.443,61.855,62.278,62.718,63.164,63.615,64.075,64.523,64.958,65.393,65.814,66.213,66.585,66.931,67.254,67.541,67.797,68.011,68.190,68.326,68.422,68.473,68.483,68.452,68.383,68.265,68.115,67.919,67.691,67.427,67.128,66.806,66.461,66.088,65.702,65.291,64.877,64.455,64.028,63.604,63.185,62.771,62.380,61.999,61.647,61.305,60.996,60.721,60.481,60.273,60.102,59.963,59.874,59.821,59.820,59.851,59.921,60.041,60.195,60.388,60.625,60.893,61.194,61.520,61.873,62.260,62.662,63.077,63.504,63.945,64.386,64.834,65.276,65.710,66.135,66.545,66.942,67.303,67.650,67.968,68.251,68.500,68.715,68.889,69.030,69.132,69.181,69.205,69.174,69.107,68.996,68.854,68.668,68.450,68.196,67.912,67.600,67.258,66.900,66.524,66.135,65.726,65.318,64.905,64.498,64.087,63.692,63.300,62.930,62.586,77.198,62.761,63.362,64.861,65.787,67.727,66.954,69.575,71.844,71.411,71.073,71.155,71.274,71.430,71.625,71.857,72.127,72.424,72.758,73.118,73.495,73.894,74.316,74.741,75.179,75.632,76.073,76.518,76.951,77.380,77.792,78.182,78.557,78.903,79.223,79.504,79.766,79.982,80.169,80.306,80.412,80.474,80.491,80.466,80.407,80.306,80.160,79.985,79.767,79.518,79.235,78.932,78.594,78.236,77.859,77.474,77.069,76.664,76.245,75.840,75.430,75.033,74.652,74.281,73.941,73.614,73.314,73.045,72.812,72.613,72.444,72.322,72.234,72.198,72.191,72.234,72.310,72.433,72.594,72.799,73.047,73.317,73.626,73.965,74.326,74.722,75.129,75.560,75.997,76.449,76.907,77.362,77.820,78.265,78.707,79.130,79.533,79.914,80.275,80.602,80.900,81.164,81.393,81.578,81.729,81.836,81.901,81.924,81.911,81.850,81.744,81.606,81.427,81.207,80.951,80.673,80.355,80.016,79.658,79.272,78.881,78.468,78.052,77.633,77.215,76.797,76.392,76.005,75.631,75.275,74.942,74.640,74.369,74.128,73.928,73.766,73.638,73.553,73.517,73.509,73.561,73.648,73.778,73.954,74.162,74.411,74.704,75.022,75.375,75.756,76.164,76.592,77.037,77.499,77.960,78.440,78.916,79.391,79.854,80.309,80.747,81.169,81.573,81.936,82.287,82.591,82.873,83.105,83.300,83.463,83.571,83.647,83.674,83.656,83.593,83.492,83.343,83.160,82.939,82.681,82.387,82.068,81.720,81.345,80.950,80.545,80.134,79.701,79.269,78.845,78.419,78.000,77.601,77.222,76.856,76.521,76.214</history>
This time series records the temperature reading, in fahrenheit (F), from a sensor at city A. The data was recorded from 2025-08-01 00:00:00 to 2025-08-20 05:00:00 with the hour (H) frequency. Due to installation errors, the sensor was malfunctioned, resulted in unrealiable readings. The technical team has replaced the new sensor, which could record reliable reading again. At the point of replacement, the temperature reading changed significantly, and then returned to normal.
Forecast the future 50 readings from this sensor, from 2025-08-20 06:00:00 to 2025-08-22 07:00:00, given that the sensor has been fixed.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template0/item2
|
GIFT synthesize
|
phase_change
|
D
|
8929.508,10443.771,67981.323,125704.106,156345.302,206220.957,236573.433,264587.699,280818.577,303391.438,310741.613,295466.404,298356.436,294720.125,289977.006,289524.272,285677.974,286660.433,287499.064,275568.353,290152.988,287845.332,288125.522,293595.155,304947.917,309272.920,317241.779,323457.754,329403.385,337271.551,346383.461,347547.994,354705.798,351942.038,363158.874,360543.126,357812.500,350995.364,353811.712,349932.749,354481.969,345561.795,341370.848,335379.014,344189.402,332408.120,326572.510,334095.144,324689.018,328509.802,321900.639,320605.591,325350.490,317935.013,315286.763,309715.359,310559.346,306322.389,308653.876,303870.752,304497.025,304783.661,301983.675,288968.843,294581.105,291282.012,287552.660,295357.221,298358.738,286650.951,293676.593,307469.681,305643.917,309044.772,304921.684,295382.151,306396.697,297781.599,295933.520,299037.451,297564.295,285422.371,301124.861,291576.252,293999.262,285972.155,292596.863,284536.455,283686.161,604685.430,282745.676,283609.537,286964.482,285863.038,275233.614,288347.523,279275.675,285199.959,297419.990,296514.733,308345.354,311808.141,315686.703,322885.370,330598.738,345170.231,355426.120,372089.931,390456.183,407924.026,405452.908,407643.410,410353.278,425263.241,413111.260,416525.598,414480.189,418783.494,418030.203,417553.272,415329.245,410999.248,407976.054,404888.206,390784.406,403114.412,404649.718,401341.175,404627.741,405001.772,414765.523,416019.290,433404.856,426349.124,435243.688,446983.743,447198.208,470565.898,466092.711,483624.061,478991.841,482569.901,482578.911,481285.015,487928.349,485787.505,489165.234,475438.426,478166.342,476395.235,475080.455,472088.732,473962.634,472540.031,481892.935,467003.449,472524.785,463759.110,468203.334,470129.475,462972.435,463591.852,466737.921,462895.730,448786.250,458435.257,456703.985,458758.249,455191.611,450122.700,445708.110,456347.966,451792.631,458578.322,454289.322,462516.525,461542.831,468802.293,471253.446,474217.020,467880.440,471648.554,478575.413,479303.911,476228.369,485300.385,486273.877,478338.442,481466.528,482943.515,483152.054,480315.733,482719.073,488603.761,476736.522,488519.642,490009.896,488211.338,490915.043,490163.655,485689.088,484724.634,485241.443,478783.995,481794.926,481953.968,469158.301,474425.669,474234.613,487142.957,479876.709,473612.833,475236.779,479203.670,487228.997,478332.663,491427.512,503004.578,494119.988,499396.709,498625.294,502192.510,511607.746,513736.617,513153.072,513375.954,515031.346,515473.115,508894.917,515917.965,519413.701,515619.362,515609.035,521612.340,514745.114,519822.675,522711.684,524298.245,525974.488,538332.573,541345.647,546816.937,567959.096,576173.844,581225.753,584549.966,590217.935,603426.839,597420.837,609457.870,610981.968,614706.676,615229.852,607486.707,608879.404,602035.459,613019.689,607291.652,599430.164,597958.187,605344.294,600537.828,598112.130,611622.300,591093.661,600864.399,590691.638,590133.366,596799.161,586653.578,588603.494,584067.339,587017.409,578169.602,576088.704,583934.339,581249.418,576328.117,590338.478,573769.692,579874.718,580453.899,577915.961,576968.364,580859.569,571220.558,576699.190,586887.431,592527.588,585390.891,597583.556,585504.469,594247.635,592368.031,582452.961,586928.970,584835.396,583411.998,589928.107,584414.530,587709.660,594817.459,587891.581,588957.883,582642.161,582072.365,590964.089,586689.143,585703.726,578580.245,574496.775,579952.190,569131.924,566692.424,567054.036,566913.686,562732.416,552317.441,555411.839,557389.141,559180.988,564968.799,569003.835,569686.588,573400.214,571167.400,588180.465,584002.996,582879.529,589396.905,582890.349,594473.631,592467.213,597000.076,584323.329,592009.695,580038.236,589237.535,575034.564,575745.527,580450.956,582419.685,576080.247,576144.459,584734.898,587301.573,597491.663,598427.897,612055.893,617181.520,622042.008,633431.061,642348.168,648973.834,644839.845,658008.520,664833.814,665200.534,667378.066,668613.786,666666.925,665259.572,666926.561,657656.574,651579.776,650829.781,659044.111,653283.300,646071.532,647767.042,654430.983,649614.756,644761.790,641299.497,639468.204,640867.602,638245.884,634575.015,631797.998,633047.881,626488.329,631352.536,631684.874,633231.246,621367.704,630963.426,616917.758,616078.755,623234.247,613552.166,621666.345,616519.364
|
2025-10-06
|
2026-11-01
|
623352.188,624408.984,623449.479,629834.594,625842.862,619901.526,622809.908,633816.161,627558.157,632144.464,628463.566,631381.156,627763.639,624420.664,622564.709,618682.102,612198.099,627499.410,618496.452,627212.478,620929.816,616679.194,623299.196,615890.374,615056.956,610492.037,609604.964,606370.472,607220.847,600905.716,597609.388,594187.672,601114.724,586538.184,589013.489,587700.306,598678.172,591078.440,600801.735,605914.504,607283.514,614537.490,617192.075,611073.588,612091.277,616824.119,613447.998,621803.540,615163.168,616062.223,620989.035,619774.484,612814.545,604360.011,607116.969,605329.016,604212.876,602827.809,601191.606,614601.495,610269.518,617171.715,622287.159,629443.400,634555.505,640533.902,644419.026,656794.767,667589.933,674830.477,680258.803,679202.105,689077.585,683733.663,690138.041,694738.339,690894.262,683199.656,689488.070,684020.361,675251.197,681274.960,681508.282,664284.584,668316.595,663459.781,665562.078,669984.414,668345.132,667969.897,661374.410,659224.972,665186.079,654395.088,651890.611,650999.237,656328.981,645483.897,644921.903,635884.887,636839.914,646421.111,645101.570,645079.931,634620.173,641232.356,634790.241,639780.404,640659.279,639932.781,645548.230,650997.867,644526.376,648340.386,641693.985,649434.904,638523.487,632170.134,644146.976,640226.547
|
2026-11-02
|
2027-03-01
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the total sales in the next 120 days of this global chain, from 2026-11-02 to 2027-03-01.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales of a global chain store. The data was recorded from 2025-10-06 to 2026-11-01, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores on 2025-10-06 and 2026-01-01 respectively. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this trend is not expected to happen again in the future.
|
<history>8929.508,10443.771,67981.323,125704.106,156345.302,206220.957,236573.433,264587.699,280818.577,303391.438,310741.613,295466.404,298356.436,294720.125,289977.006,289524.272,285677.974,286660.433,287499.064,275568.353,290152.988,287845.332,288125.522,293595.155,304947.917,309272.920,317241.779,323457.754,329403.385,337271.551,346383.461,347547.994,354705.798,351942.038,363158.874,360543.126,357812.500,350995.364,353811.712,349932.749,354481.969,345561.795,341370.848,335379.014,344189.402,332408.120,326572.510,334095.144,324689.018,328509.802,321900.639,320605.591,325350.490,317935.013,315286.763,309715.359,310559.346,306322.389,308653.876,303870.752,304497.025,304783.661,301983.675,288968.843,294581.105,291282.012,287552.660,295357.221,298358.738,286650.951,293676.593,307469.681,305643.917,309044.772,304921.684,295382.151,306396.697,297781.599,295933.520,299037.451,297564.295,285422.371,301124.861,291576.252,293999.262,285972.155,292596.863,284536.455,283686.161,604685.430,282745.676,283609.537,286964.482,285863.038,275233.614,288347.523,279275.675,285199.959,297419.990,296514.733,308345.354,311808.141,315686.703,322885.370,330598.738,345170.231,355426.120,372089.931,390456.183,407924.026,405452.908,407643.410,410353.278,425263.241,413111.260,416525.598,414480.189,418783.494,418030.203,417553.272,415329.245,410999.248,407976.054,404888.206,390784.406,403114.412,404649.718,401341.175,404627.741,405001.772,414765.523,416019.290,433404.856,426349.124,435243.688,446983.743,447198.208,470565.898,466092.711,483624.061,478991.841,482569.901,482578.911,481285.015,487928.349,485787.505,489165.234,475438.426,478166.342,476395.235,475080.455,472088.732,473962.634,472540.031,481892.935,467003.449,472524.785,463759.110,468203.334,470129.475,462972.435,463591.852,466737.921,462895.730,448786.250,458435.257,456703.985,458758.249,455191.611,450122.700,445708.110,456347.966,451792.631,458578.322,454289.322,462516.525,461542.831,468802.293,471253.446,474217.020,467880.440,471648.554,478575.413,479303.911,476228.369,485300.385,486273.877,478338.442,481466.528,482943.515,483152.054,480315.733,482719.073,488603.761,476736.522,488519.642,490009.896,488211.338,490915.043,490163.655,485689.088,484724.634,485241.443,478783.995,481794.926,481953.968,469158.301,474425.669,474234.613,487142.957,479876.709,473612.833,475236.779,479203.670,487228.997,478332.663,491427.512,503004.578,494119.988,499396.709,498625.294,502192.510,511607.746,513736.617,513153.072,513375.954,515031.346,515473.115,508894.917,515917.965,519413.701,515619.362,515609.035,521612.340,514745.114,519822.675,522711.684,524298.245,525974.488,538332.573,541345.647,546816.937,567959.096,576173.844,581225.753,584549.966,590217.935,603426.839,597420.837,609457.870,610981.968,614706.676,615229.852,607486.707,608879.404,602035.459,613019.689,607291.652,599430.164,597958.187,605344.294,600537.828,598112.130,611622.300,591093.661,600864.399,590691.638,590133.366,596799.161,586653.578,588603.494,584067.339,587017.409,578169.602,576088.704,583934.339,581249.418,576328.117,590338.478,573769.692,579874.718,580453.899,577915.961,576968.364,580859.569,571220.558,576699.190,586887.431,592527.588,585390.891,597583.556,585504.469,594247.635,592368.031,582452.961,586928.970,584835.396,583411.998,589928.107,584414.530,587709.660,594817.459,587891.581,588957.883,582642.161,582072.365,590964.089,586689.143,585703.726,578580.245,574496.775,579952.190,569131.924,566692.424,567054.036,566913.686,562732.416,552317.441,555411.839,557389.141,559180.988,564968.799,569003.835,569686.588,573400.214,571167.400,588180.465,584002.996,582879.529,589396.905,582890.349,594473.631,592467.213,597000.076,584323.329,592009.695,580038.236,589237.535,575034.564,575745.527,580450.956,582419.685,576080.247,576144.459,584734.898,587301.573,597491.663,598427.897,612055.893,617181.520,622042.008,633431.061,642348.168,648973.834,644839.845,658008.520,664833.814,665200.534,667378.066,668613.786,666666.925,665259.572,666926.561,657656.574,651579.776,650829.781,659044.111,653283.300,646071.532,647767.042,654430.983,649614.756,644761.790,641299.497,639468.204,640867.602,638245.884,634575.015,631797.998,633047.881,626488.329,631352.536,631684.874,633231.246,621367.704,630963.426,616917.758,616078.755,623234.247,613552.166,621666.345,616519.364</history>
This time series records the sales of a global chain store. The data was recorded from 2025-10-06 to 2026-11-01, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores on 2025-10-06 and 2026-01-01 respectively. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this trend is not expected to happen again in the future.
Forecast the total sales in the next 120 days of this global chain, from 2026-11-02 to 2027-03-01.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template1/item2
|
GIFT synthesize
|
phase_change
|
D
|
283.721,283.245,282.819,282.503,282.339,282.080,281.974,281.952,281.943,281.988,282.365,282.597,283.001,283.405,284.042,284.613,285.287,286.058,286.922,287.784,288.848,289.868,291.030,292.270,293.646,294.917,296.267,297.729,299.373,300.936,302.614,304.403,306.072,307.792,309.817,311.730,313.618,315.629,317.679,319.735,321.629,323.855,325.889,328.124,330.185,332.448,334.545,336.736,338.847,341.067,343.104,345.347,347.460,349.491,351.586,353.696,355.692,357.819,359.544,361.470,363.449,365.249,367.043,368.673,370.367,372.070,373.587,375.123,376.567,377.903,379.305,380.484,381.726,382.760,383.827,384.684,385.604,386.452,387.117,387.761,388.325,388.806,389.118,389.572,389.735,389.891,390.015,389.955,389.882,389.778,389.402,389.289,388.978,388.400,387.957,387.276,386.577,385.910,385.124,384.259,383.351,382.467,381.445,380.429,379.288,378.133,376.845,375.734,374.384,373.063,371.744,370.361,368.912,367.487,366.074,364.612,363.215,361.719,360.223,358.815,357.340,355.963,354.520,353.091,351.572,350.242,348.728,347.520,346.213,344.890,343.627,342.494,341.319,340.226,339.150,338.182,337.097,336.211,335.346,334.570,333.803,333.289,476.310,331.996,347.295,362.637,378.203,393.632,409.213,409.243,409.156,409.235,409.347,409.481,409.822,410.250,410.568,411.068,411.785,412.388,413.120,413.979,414.823,415.804,416.845,418.004,419.101,420.447,421.660,422.945,424.408,425.880,427.422,428.951,430.702,432.280,434.057,435.881,437.578,439.570,441.277,443.297,445.220,447.122,449.153,451.031,453.048,455.083,457.163,459.107,461.203,463.243,465.255,467.209,469.139,471.048,473.063,474.959,476.810,478.678,480.482,482.214,484.008,485.755,487.268,488.824,490.445,492.051,493.385,494.835,496.174,497.366,498.551,499.644,500.692,501.695,502.595,503.381,504.123,504.814,505.514,505.852,506.330,506.586,506.996,507.096,507.293,507.256,507.296,507.164,506.957,506.707,506.340,505.888,505.349,504.820,504.047,503.396,882.783,847.931,826.623,825.703,824.572,823.513,822.415,821.177,819.806,818.596,817.230,815.797,814.363,812.886,811.373,809.973,808.278,806.758,805.114,803.586,801.861,800.396,798.747,797.132,795.450,793.905,792.239,790.751,789.045,787.549,785.944,784.387,783.080,781.558,780.177,778.812,777.515,776.160,775.014,773.880,772.721,771.772,770.714,769.864,768.975,768.120,767.403,766.749,766.134,765.803,765.367,764.908,764.731,764.381,764.233,764.276,764.461,764.545,764.693,765.048,765.402,765.818,766.356,766.976,767.646,768.417,769.275,770.102,771.261,772.192,773.282,774.507,775.880,777.251,778.651,780.083,781.634,783.134,784.703,786.464,788.201,790.017,791.816,793.623,795.424,797.359,799.356,801.311,803.244,805.219,807.253,809.238,811.250,813.246,815.343,817.325,819.233,821.243,823.294,825.156,827.092,829.008,830.849,832.598,834.471,836.134,837.867,839.439,841.147,842.672,844.044,845.554,846.859,848.218,849.413,850.631,851.703,852.703,853.659,854.534,855.165,855.936,856.514,857.123,857.594,857.960,858.191,858.439,858.570,858.575,858.545,858.465,858.170,857.850,857.456,856.989,856.436,855.769,855.082,854.357,853.521,852.494,851.545,850.487,849.291,848.128,846.783,845.517,844.065,842.696,841.155,839.631,838.180,836.472
|
2025-10-06
|
2026-11-01
|
834.774,833.183,831.392,829.731,827.866,826.199,824.378,822.613,820.723,819.012,817.100,815.319,813.508,811.761,809.987,808.011,806.384,804.654,803.007,801.309,799.825,798.091,796.621,795.236,793.812,792.439,790.985,789.683,788.603,787.428,786.277,785.284,784.306,783.537,782.641,781.894,781.296,780.809,780.356,779.817,779.474,779.251,779.182,779.128,779.155,779.230,779.386,779.572,780.082,780.455,780.858,781.538,782.136,782.981,783.753,784.504,785.607,786.796,787.848,788.865,790.113,791.445,792.892,794.309,795.722,797.351,798.933,800.463,802.133,803.925,805.677,807.379,809.346,811.089,812.923,814.774,816.769,818.638,820.515,822.405,824.356,826.284,828.083,830.099,831.864,833.763,835.580,837.401,839.195,840.894,842.648,844.328,845.882,847.452,849.055,850.468,851.998,853.288,854.675,855.896,857.060,858.171,859.121,860.197,861.135,861.871,862.625,863.284,863.926,864.466,864.739,865.136,865.462,865.663,865.696,865.815,865.584,865.604,865.277,864.967
|
2026-11-02
|
2027-03-01
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the total sales in the next 120 days of this global chain, from 2026-11-02 to 2027-03-01.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales of a global chain store. The data was recorded from 2025-10-06 to 2026-11-01, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores on 2026-02-23 and 2026-05-30 respectively. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this trend is not expected to happen again in the future.
|
<history>283.721,283.245,282.819,282.503,282.339,282.080,281.974,281.952,281.943,281.988,282.365,282.597,283.001,283.405,284.042,284.613,285.287,286.058,286.922,287.784,288.848,289.868,291.030,292.270,293.646,294.917,296.267,297.729,299.373,300.936,302.614,304.403,306.072,307.792,309.817,311.730,313.618,315.629,317.679,319.735,321.629,323.855,325.889,328.124,330.185,332.448,334.545,336.736,338.847,341.067,343.104,345.347,347.460,349.491,351.586,353.696,355.692,357.819,359.544,361.470,363.449,365.249,367.043,368.673,370.367,372.070,373.587,375.123,376.567,377.903,379.305,380.484,381.726,382.760,383.827,384.684,385.604,386.452,387.117,387.761,388.325,388.806,389.118,389.572,389.735,389.891,390.015,389.955,389.882,389.778,389.402,389.289,388.978,388.400,387.957,387.276,386.577,385.910,385.124,384.259,383.351,382.467,381.445,380.429,379.288,378.133,376.845,375.734,374.384,373.063,371.744,370.361,368.912,367.487,366.074,364.612,363.215,361.719,360.223,358.815,357.340,355.963,354.520,353.091,351.572,350.242,348.728,347.520,346.213,344.890,343.627,342.494,341.319,340.226,339.150,338.182,337.097,336.211,335.346,334.570,333.803,333.289,476.310,331.996,347.295,362.637,378.203,393.632,409.213,409.243,409.156,409.235,409.347,409.481,409.822,410.250,410.568,411.068,411.785,412.388,413.120,413.979,414.823,415.804,416.845,418.004,419.101,420.447,421.660,422.945,424.408,425.880,427.422,428.951,430.702,432.280,434.057,435.881,437.578,439.570,441.277,443.297,445.220,447.122,449.153,451.031,453.048,455.083,457.163,459.107,461.203,463.243,465.255,467.209,469.139,471.048,473.063,474.959,476.810,478.678,480.482,482.214,484.008,485.755,487.268,488.824,490.445,492.051,493.385,494.835,496.174,497.366,498.551,499.644,500.692,501.695,502.595,503.381,504.123,504.814,505.514,505.852,506.330,506.586,506.996,507.096,507.293,507.256,507.296,507.164,506.957,506.707,506.340,505.888,505.349,504.820,504.047,503.396,882.783,847.931,826.623,825.703,824.572,823.513,822.415,821.177,819.806,818.596,817.230,815.797,814.363,812.886,811.373,809.973,808.278,806.758,805.114,803.586,801.861,800.396,798.747,797.132,795.450,793.905,792.239,790.751,789.045,787.549,785.944,784.387,783.080,781.558,780.177,778.812,777.515,776.160,775.014,773.880,772.721,771.772,770.714,769.864,768.975,768.120,767.403,766.749,766.134,765.803,765.367,764.908,764.731,764.381,764.233,764.276,764.461,764.545,764.693,765.048,765.402,765.818,766.356,766.976,767.646,768.417,769.275,770.102,771.261,772.192,773.282,774.507,775.880,777.251,778.651,780.083,781.634,783.134,784.703,786.464,788.201,790.017,791.816,793.623,795.424,797.359,799.356,801.311,803.244,805.219,807.253,809.238,811.250,813.246,815.343,817.325,819.233,821.243,823.294,825.156,827.092,829.008,830.849,832.598,834.471,836.134,837.867,839.439,841.147,842.672,844.044,845.554,846.859,848.218,849.413,850.631,851.703,852.703,853.659,854.534,855.165,855.936,856.514,857.123,857.594,857.960,858.191,858.439,858.570,858.575,858.545,858.465,858.170,857.850,857.456,856.989,856.436,855.769,855.082,854.357,853.521,852.494,851.545,850.487,849.291,848.128,846.783,845.517,844.065,842.696,841.155,839.631,838.180,836.472</history>
This time series records the sales of a global chain store. The data was recorded from 2025-10-06 to 2026-11-01, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores on 2026-02-23 and 2026-05-30 respectively. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this trend is not expected to happen again in the future.
Forecast the total sales in the next 120 days of this global chain, from 2026-11-02 to 2027-03-01.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template2/item2
|
GIFT synthesize
|
phase_change
|
D
|
479.431,476.140,473.786,472.449,471.995,472.048,472.347,472.387,471.799,470.357,467.704,463.918,459.103,453.543,447.722,442.220,437.570,434.268,432.820,433.475,436.400,441.415,448.266,456.482,465.410,474.455,482.878,490.137,495.654,499.219,500.702,500.174,497.947,494.419,490.048,485.526,481.209,477.493,474.743,472.992,472.145,472.008,472.254,472.441,472.123,471.102,468.934,465.616,461.160,455.815,450.051,444.283,439.188,435.237,432.918,432.642,434.653,438.815,444.970,452.678,461.468,470.620,479.471,487.300,493.654,498.118,500.539,500.838,499.334,496.299,492.222,487.743,483.204,479.204,475.995,473.761,472.512,472.088,472.225,472.430,472.363,780.667,469.926,483.952,495.935,506.041,514.565,522.020,528.867,535.821,543.303,551.728,561.406,572.470,584.720,597.857,611.374,624.553,636.773,647.475,655.976,661.292,664.616,665.868,665.154,662.686,659.026,654.645,650.098,645.769,642.200,639.474,637.871,637.050,636.939,637.074,637.157,636.726,635.356,632.963,629.431,624.757,619.315,613.488,607.804,602.771,599.091,597.078,597.225,599.543,604.061,610.516,618.487,627.448,636.596,645.405,653.148,659.293,663.531,665.694,665.763,664.043,660.888,656.786,652.202,647.779,643.824,640.732,638.618,637.420,636.959,637.002,637.165,636.905,635.959,633.998,630.942,626.707,621.545,615.843,610.043,604.718,600.415,597.658,596.898,598.262,601.859,607.585,614.936,623.538,632.705,641.712,649.899,656.810,661.911,664.984,665.936,664.959,662.408,658.674,654.256,649.717,645.551,642.070,639.486,637.872,637.184,636.998,637.099,637.029,636.414,634.893,632.285,628.554,623.786,618.264,612.504,606.903,602.167,598.739,597.090,597.520,600.215,604.987,611.692,619.798,628.773,637.831,646.423,653.937,659.811,663.754,665.605,665.417,663.520,660.318,656.130,651.664,647.344,643.483,640.547,638.520,637.442,637.037,637.039,637.061,636.726,635.620,633.473,630.242,625.867,620.685,615.046,609.352,604.283,600.225,597.828,597.320,599.034,602.975,608.816,616.307,624.904,633.926,642.748,650.716,657.274,662.055,664.752,665.478,664.312,661.627,657.841,653.484,649.093,645.000,641.699,639.288,637.815,637.176,637.019,637.055,636.885,636.122,634.456,631.735,627.847,623.098,617.584,611.951,606.563,602.029,598.966,597.623,598.436,601.325,606.370,613.179,670.988,718.475,755.008,779.898,787.005,778.840,772.497,773.988,773.669,771.584,768.253,764.165,759.694,755.454,751.833,749.089,747.244,746.271,745.905,745.925,745.892,745.424,744.169,741.957,738.552,734.204,729.006,723.460,717.949,713.070,709.331,707.285,707.107,709.096,713.201,719.215,726.742,735.263,744.164,752.644,760.236,766.490,770.861,773.285,773.719,772.364,769.549,765.724,761.429,757.133,753.295,750.154,747.900,746.606,746.016,745.916,745.926,745.678,744.781,742.991,740.072,736.190,731.389,726.003,720.440,715.264,711.090,708.190,707.226,708.256,711.482,716.672,723.526,731.632,740.322,749.013,757.016,763.819,768.943,772.273,773.525,772.869,770.693,767.314,763.230,758.913,754.833,751.417,748.820,747.087,746.182,745.917,745.904,745.776,745.150,743.849,741.400,737.943,733.507,728.353,722.823,717.470,712.839,709.367,707.576,707.755,710.034,714.403,720.525,728.092,736.576,745.275,753.662,760.985
|
2025-10-08
|
2026-11-03
|
766.863,770.933,773.056,773.268,771.744,768.861,765.038,760.811,756.603,752.883,749.936,747.797,746.533,746.017,745.952,745.858,745.508,744.418,742.477,739.442,735.386,730.502,725.105,719.654,714.699,710.725,708.149,707.482,708.832,712.297,717.729,724.710,732.909,741.567,750.111,757.889,764.501,769.389,772.375,773.375,772.621,770.235,766.854,762.776,758.561,754.600,751.249,748.757,747.159,746.316,746.020,745.928,745.699,744.866,743.364,740.691,737.054,732.490,727.282,721.814,716.606,712.120,708.989,707.438,707.904,710.538,715.160,721.538,729.303,737.802,746.497,754.687,761.896,767.542,771.414,773.289,773.308,771.578,768.641,764.761,760.584,756.443,752.850,749.876,747.918,746.701,746.196,746.017,745.792,745.259,744.014,741.798,738.607,734.366,729.371,723.929,718.515,713.662,709.933,707.633,707.277,708.982,712.791,718.510,725.760,733.982,742.740,751.304,759.044,765.449,770.138,772.879,773.709,772.766,770.306,766.757,762.645,758.368,754.484,751.283
|
2026-11-04
|
2027-03-03
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the total sales in the next 120 days of this global chain, from 2026-11-04 to 2027-03-03.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales of a global chain store. The data was recorded from 2025-10-08 to 2026-11-03, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores on 2025-12-26 and 2026-07-11 respectively. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this trend is not expected to happen again in the future.
|
<history>479.431,476.140,473.786,472.449,471.995,472.048,472.347,472.387,471.799,470.357,467.704,463.918,459.103,453.543,447.722,442.220,437.570,434.268,432.820,433.475,436.400,441.415,448.266,456.482,465.410,474.455,482.878,490.137,495.654,499.219,500.702,500.174,497.947,494.419,490.048,485.526,481.209,477.493,474.743,472.992,472.145,472.008,472.254,472.441,472.123,471.102,468.934,465.616,461.160,455.815,450.051,444.283,439.188,435.237,432.918,432.642,434.653,438.815,444.970,452.678,461.468,470.620,479.471,487.300,493.654,498.118,500.539,500.838,499.334,496.299,492.222,487.743,483.204,479.204,475.995,473.761,472.512,472.088,472.225,472.430,472.363,780.667,469.926,483.952,495.935,506.041,514.565,522.020,528.867,535.821,543.303,551.728,561.406,572.470,584.720,597.857,611.374,624.553,636.773,647.475,655.976,661.292,664.616,665.868,665.154,662.686,659.026,654.645,650.098,645.769,642.200,639.474,637.871,637.050,636.939,637.074,637.157,636.726,635.356,632.963,629.431,624.757,619.315,613.488,607.804,602.771,599.091,597.078,597.225,599.543,604.061,610.516,618.487,627.448,636.596,645.405,653.148,659.293,663.531,665.694,665.763,664.043,660.888,656.786,652.202,647.779,643.824,640.732,638.618,637.420,636.959,637.002,637.165,636.905,635.959,633.998,630.942,626.707,621.545,615.843,610.043,604.718,600.415,597.658,596.898,598.262,601.859,607.585,614.936,623.538,632.705,641.712,649.899,656.810,661.911,664.984,665.936,664.959,662.408,658.674,654.256,649.717,645.551,642.070,639.486,637.872,637.184,636.998,637.099,637.029,636.414,634.893,632.285,628.554,623.786,618.264,612.504,606.903,602.167,598.739,597.090,597.520,600.215,604.987,611.692,619.798,628.773,637.831,646.423,653.937,659.811,663.754,665.605,665.417,663.520,660.318,656.130,651.664,647.344,643.483,640.547,638.520,637.442,637.037,637.039,637.061,636.726,635.620,633.473,630.242,625.867,620.685,615.046,609.352,604.283,600.225,597.828,597.320,599.034,602.975,608.816,616.307,624.904,633.926,642.748,650.716,657.274,662.055,664.752,665.478,664.312,661.627,657.841,653.484,649.093,645.000,641.699,639.288,637.815,637.176,637.019,637.055,636.885,636.122,634.456,631.735,627.847,623.098,617.584,611.951,606.563,602.029,598.966,597.623,598.436,601.325,606.370,613.179,670.988,718.475,755.008,779.898,787.005,778.840,772.497,773.988,773.669,771.584,768.253,764.165,759.694,755.454,751.833,749.089,747.244,746.271,745.905,745.925,745.892,745.424,744.169,741.957,738.552,734.204,729.006,723.460,717.949,713.070,709.331,707.285,707.107,709.096,713.201,719.215,726.742,735.263,744.164,752.644,760.236,766.490,770.861,773.285,773.719,772.364,769.549,765.724,761.429,757.133,753.295,750.154,747.900,746.606,746.016,745.916,745.926,745.678,744.781,742.991,740.072,736.190,731.389,726.003,720.440,715.264,711.090,708.190,707.226,708.256,711.482,716.672,723.526,731.632,740.322,749.013,757.016,763.819,768.943,772.273,773.525,772.869,770.693,767.314,763.230,758.913,754.833,751.417,748.820,747.087,746.182,745.917,745.904,745.776,745.150,743.849,741.400,737.943,733.507,728.353,722.823,717.470,712.839,709.367,707.576,707.755,710.034,714.403,720.525,728.092,736.576,745.275,753.662,760.985</history>
This time series records the sales of a global chain store. The data was recorded from 2025-10-08 to 2026-11-03, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores on 2025-12-26 and 2026-07-11 respectively. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this trend is not expected to happen again in the future.
Forecast the total sales in the next 120 days of this global chain, from 2026-11-04 to 2027-03-03.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template3/item2
|
GIFT synthesize
|
phase_change
|
D
|
283.614,284.032,284.267,283.932,282.753,280.761,278.257,275.854,274.106,273.402,273.825,274.980,276.275,276.988,276.613,275.014,272.503,269.691,267.307,266.011,266.019,267.221,269.129,271.073,272.438,272.874,272.283,270.909,269.143,267.338,265.776,264.601,263.777,263.308,263.220,263.665,264.808,266.785,269.569,272.944,276.475,279.637,282.018,283.409,283.875,283.740,283.456,283.362,283.600,284.028,284.300,283.994,282.824,280.800,288.050,283.144,282.396,289.974,299.821,303.611,314.790,326.543,331.132,330.841,320.980,316.486,312.879,311.555,311.564,312.803,314.732,316.696,318.076,318.499,317.895,316.520,314.728,312.911,311.370,310.177,309.360,308.883,308.788,309.233,310.359,312.339,315.130,318.523,322.054,325.243,327.624,329.014,329.462,329.330,329.035,328.945,329.197,329.640,329.938,329.640,328.476,326.436,323.892,321.397,319.591,318.871,319.291,320.511,321.859,322.630,322.293,320.712,318.156,315.303,312.893,311.536,311.547,312.782,314.725,316.711,318.109,318.550,317.973,316.571,314.759,312.937,311.357,310.146,309.307,308.829,308.745,309.187,310.334,312.330,315.154,318.521,322.058,325.224,327.601,329.002,329.465,329.340,329.053,328.986,329.252,329.702,329.983,329.666,328.493,326.447,323.884,321.392,319.564,318.843,319.271,320.459,321.815,322.605,322.289,320.719,318.183,315.331,312.917,311.562,311.559,312.759,314.690,316.684,318.100,318.564,318.005,316.636,314.841,312.995,311.359,310.112,309.248,308.735,308.674,309.131,310.324,312.343,315.176,318.556,322.058,390.874,382.022,375.190,375.671,375.589,375.327,375.283,375.553,375.992,376.250,375.921,374.708,372.659,370.107,367.630,365.826,365.097,365.493,366.699,368.019,368.804,368.495,366.944,364.444,361.617,359.208,357.842,357.805,358.975,360.881,362.853,364.295,364.795,364.276,362.934,361.144,359.276,357.623,356.323,355.417,354.886,354.827,355.315,356.545,358.615,361.440,364.808,368.283,371.389,373.743,375.125,375.637,375.569,375.362,375.343,375.612,376.029,376.257,375.904,374.679,372.651,370.109,367.651,365.865,365.148,365.531,366.694,368.013,368.767,368.457,366.941,364.453,361.657,359.257,357.871,357.798,358.940,360.817,362.792,364.233,364.765,364.271,362.967,361.187,359.322,357.634,356.312,355.392,354.859,354.799,355.308,356.567,358.631,361.465,364.811,368.268,371.379,373.703,375.079,375.598,375.558,375.376,375.352,375.613,376.035,376.253,375.886,374.676,372.652,370.125,367.685,365.906,365.182,365.570,366.719,368.011,368.765,368.450,366.937,364.468,361.675,359.267,357.876,357.807,358.928,360.788,362.749,364.177,364.723,364.261,362.961,361.186,359.320,357.661,356.343,355.399,354.881,354.825,355.342,356.568,358.633,361.449,364.799,368.268,371.340,373.690,375.066,375.595,375.554,375.351,375.320,375.585,375.996,376.247,375.887,374.673,372.660,370.171,367.729,365.942,365.204,365.577,366.733,368.047,368.798,368.473,366.967,364.491,361.680,359.258,357.867,357.782,358.915,360.770,362.742,364.175,364.710,364.215,362.920,361.158,359.304,357.669,356.376,355.460,354.949,354.892,355.391,356.575,358.618,361.404,364.754,368.218,371.345,373.694,375.098,375.605,375.553,375.324,375.268,375.522,375.947,376.204,375.881,374.721,372.711,370.207,367.746
|
2025-10-08
|
2026-11-03
|
365.958,365.208,365.571,366.737,368.058,368.824,368.525,366.997,364.506,361.661,359.230,357.835,357.754,358.913,360.779,362.744,364.195,364.699,364.182,362.869,361.095,359.264,357.666,356.419,355.554,355.051,354.982,355.416,356.574,358.553,361.315,364.673,368.178,371.329,373.732,375.142,375.661,375.558,375.291,375.197,375.450,375.884,376.178,375.879,374.739,372.758,370.251,367.779,365.949,365.197,365.572,366.741,368.071,368.854,368.558,367.021,364.502,361.646,359.198,357.805,357.746,358.917,360.819,362.779,364.222,364.694,364.157,362.819,361.053,359.241,357.663,356.470,355.631,355.146,355.026,355.437,356.542,358.478,361.241,364.596,368.129,371.331,373.757,375.188,375.700,375.589,375.291,375.183,375.394,375.842,376.137,375.885,374.756,372.795,370.284,367.806,365.951,365.195,365.555,366.714,368.058,368.853,368.555,367.020,364.502,361.646,359.192,357.818,357.763,358.937,360.855,362.836,364.247,364.707,364.150,362.812,361.045,359.239,357.670,356.477
|
2026-11-04
|
2027-03-03
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the total sales in the next 120 days of this global chain, from 2026-11-04 to 2027-03-03.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales of a global chain store. The data was recorded from 2025-10-08 to 2026-11-03, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores on 2025-11-30 and 2026-04-09 respectively. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this trend is not expected to happen again in the future.
|
<history>283.614,284.032,284.267,283.932,282.753,280.761,278.257,275.854,274.106,273.402,273.825,274.980,276.275,276.988,276.613,275.014,272.503,269.691,267.307,266.011,266.019,267.221,269.129,271.073,272.438,272.874,272.283,270.909,269.143,267.338,265.776,264.601,263.777,263.308,263.220,263.665,264.808,266.785,269.569,272.944,276.475,279.637,282.018,283.409,283.875,283.740,283.456,283.362,283.600,284.028,284.300,283.994,282.824,280.800,288.050,283.144,282.396,289.974,299.821,303.611,314.790,326.543,331.132,330.841,320.980,316.486,312.879,311.555,311.564,312.803,314.732,316.696,318.076,318.499,317.895,316.520,314.728,312.911,311.370,310.177,309.360,308.883,308.788,309.233,310.359,312.339,315.130,318.523,322.054,325.243,327.624,329.014,329.462,329.330,329.035,328.945,329.197,329.640,329.938,329.640,328.476,326.436,323.892,321.397,319.591,318.871,319.291,320.511,321.859,322.630,322.293,320.712,318.156,315.303,312.893,311.536,311.547,312.782,314.725,316.711,318.109,318.550,317.973,316.571,314.759,312.937,311.357,310.146,309.307,308.829,308.745,309.187,310.334,312.330,315.154,318.521,322.058,325.224,327.601,329.002,329.465,329.340,329.053,328.986,329.252,329.702,329.983,329.666,328.493,326.447,323.884,321.392,319.564,318.843,319.271,320.459,321.815,322.605,322.289,320.719,318.183,315.331,312.917,311.562,311.559,312.759,314.690,316.684,318.100,318.564,318.005,316.636,314.841,312.995,311.359,310.112,309.248,308.735,308.674,309.131,310.324,312.343,315.176,318.556,322.058,390.874,382.022,375.190,375.671,375.589,375.327,375.283,375.553,375.992,376.250,375.921,374.708,372.659,370.107,367.630,365.826,365.097,365.493,366.699,368.019,368.804,368.495,366.944,364.444,361.617,359.208,357.842,357.805,358.975,360.881,362.853,364.295,364.795,364.276,362.934,361.144,359.276,357.623,356.323,355.417,354.886,354.827,355.315,356.545,358.615,361.440,364.808,368.283,371.389,373.743,375.125,375.637,375.569,375.362,375.343,375.612,376.029,376.257,375.904,374.679,372.651,370.109,367.651,365.865,365.148,365.531,366.694,368.013,368.767,368.457,366.941,364.453,361.657,359.257,357.871,357.798,358.940,360.817,362.792,364.233,364.765,364.271,362.967,361.187,359.322,357.634,356.312,355.392,354.859,354.799,355.308,356.567,358.631,361.465,364.811,368.268,371.379,373.703,375.079,375.598,375.558,375.376,375.352,375.613,376.035,376.253,375.886,374.676,372.652,370.125,367.685,365.906,365.182,365.570,366.719,368.011,368.765,368.450,366.937,364.468,361.675,359.267,357.876,357.807,358.928,360.788,362.749,364.177,364.723,364.261,362.961,361.186,359.320,357.661,356.343,355.399,354.881,354.825,355.342,356.568,358.633,361.449,364.799,368.268,371.340,373.690,375.066,375.595,375.554,375.351,375.320,375.585,375.996,376.247,375.887,374.673,372.660,370.171,367.729,365.942,365.204,365.577,366.733,368.047,368.798,368.473,366.967,364.491,361.680,359.258,357.867,357.782,358.915,360.770,362.742,364.175,364.710,364.215,362.920,361.158,359.304,357.669,356.376,355.460,354.949,354.892,355.391,356.575,358.618,361.404,364.754,368.218,371.345,373.694,375.098,375.605,375.553,375.324,375.268,375.522,375.947,376.204,375.881,374.721,372.711,370.207,367.746</history>
This time series records the sales of a global chain store. The data was recorded from 2025-10-08 to 2026-11-03, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores on 2025-11-30 and 2026-04-09 respectively. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this trend is not expected to happen again in the future.
Forecast the total sales in the next 120 days of this global chain, from 2026-11-04 to 2027-03-03.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template4/item2
|
GIFT synthesize
|
phase_change
|
D
|
611.558,612.137,612.767,613.546,614.575,615.832,617.370,619.054,620.760,622.321,623.521,624.145,624.018,622.973,620.969,617.990,614.084,609.484,604.389,599.077,593.899,589.113,585.069,581.937,579.906,578.984,680.064,580.251,582.487,585.077,585.544,589.350,591.294,596.740,602.014,598.720,598.171,602.458,603.265,600.638,600.593,605.036,605.938,607.939,613.298,610.702,618.722,623.459,627.942,631.574,630.852,637.641,639.172,640.402,641.333,642.061,642.629,643.241,643.981,644.902,646.085,647.558,649.175,650.893,652.522,653.828,654.639,654.770,654.028,652.369,649.717,646.155,641.805,636.928,631.762,626.597,621.751,617.552,614.198,611.883,610.664,610.560,611.469,613.241,615.589,618.289,621.054,623.632,625.796,627.396,628.372,628.711,628.517,627.893,627.057,626.163,625.446,625.072,625.116,625.666,626.750,628.302,630.205,632.349,634.530,636.662,638.596,640.241,641.583,642.605,643.384,644.034,644.639,645.327,646.199,647.341,648.700,650.306,652.009,653.677,655.086,656.076,656.436,655.989,654.609,652.263,649.011,644.935,640.209,635.139,629.979,625.047,620.646,617.041,614.411,612.885,612.469,613.091,614.608,616.809,619.431,622.202,624.844,627.109,628.912,630.082,630.631,630.609,630.103,629.341,628.498,627.743,627.272,627.212,627.675,628.650,630.117,631.969,634.085,636.328,638.534,640.588,642.349,643.833,644.961,645.860,646.545,647.162,647.856,648.694,649.765,651.088,652.639,654.348,656.057,657.605,658.752,659.320,659.128,658.041,655.969,652.973,649.103,644.515,639.494,634.284,629.240,624.643,620.759,617.826,615.927,615.181,615.526,616.821,618.856,621.408,624.190,626.931,629.379,631.360,632.727,633.480,633.625,633.291,632.602,631.763,630.990,630.440,630.295,630.628,631.482,632.865,634.673,636.812,639.071,641.358,643.523,645.429,647.030,648.295,649.287,650.056,650.706,651.384,652.186,653.204,654.501,656.024,657.748,659.520,661.155,662.480,663.259,663.345,662.523,660.753,657.975,654.302,649.859,644.874,639.634,634.443,629.602,625.439,622.156,619.970,618.861,618.932,620.008,621.892,624.409,627.204,630.049,632.666,634.870,636.472,637.454,637.783,648.613,659.057,669.274,679.486,689.891,700.650,711.881,723.660,735.965,739.780,741.636,735.804,736.514,736.660,738.680,740.405,741.795,742.895,743.716,744.416,745.104,745.890,746.858,748.111,749.624,751.349,753.157,754.906,756.404,757.414,757.753,757.224,755.732,753.251,749.791,745.507,740.583,735.323,730.020,725.013,720.569,716.992,714.447,713.054,712.814,713.659,715.421,717.869,720.690,723.654,726.457,728.877,730.726,731.938,732.480,732.416,731.911,731.132,730.270,729.556,729.128,729.134,729.711,730.800,732.405,734.388,736.643,739.006,741.297,743.416,745.219,746.730,747.911,748.813,749.549,750.239,751.005,751.955,753.155,754.616,756.362,758.238,760.088,761.732,762.966,763.566,763.333,762.158,759.967,756.761,752.665,747.902,742.678,737.337,732.164,727.511,723.658,720.803,719.116,718.598,719.215,720.811,723.169,726.012,729.069,732.026,734.642,736.742,738.195,738.943,739.077,738.680,737.943,737.049,736.228,735.659,735.523,735.879,736.776,738.210,740.068,742.208,744.540,746.846,749.013,750.904,752.500,753.753,754.742,755.524,756.225,756.981,757.897,759.063
|
2025-10-08
|
2026-11-03
|
760.510,762.240,764.129,766.066,767.857,769.278,770.128,770.189,769.330,767.455,764.540,760.724,756.127,751.017,745.674,740.431,735.624,731.518,728.398,726.404,725.619,725.956,727.359,729.582,732.377,735.447,738.521,741.346,743.640,745.325,746.317,746.640,746.404,745.737,744.866,743.992,743.305,743.009,743.154,743.865,745.095,746.803,748.853,751.087,753.405,755.580,757.556,759.232,760.590,761.652,762.508,763.256,764.032,764.941,766.065,767.488,769.171,771.050,773.033,774.912,776.495,777.548,777.885,777.334,775.759,773.169,769.658,765.271,760.298,755.044,749.771,744.847,740.559,737.169,734.878,733.756,733.817,734.945,736.979,739.648,742.706,745.823,748.744,751.246,753.142,754.364,754.898,754.843,754.300,753.511,752.629,751.880,751.459,751.476,752.001,753.079,754.629,756.574,758.766,761.051,763.249,765.301,767.095,768.558,769.736,770.689,771.515,772.308,773.216,774.297,775.682,777.320,779.185,781.152,783.080,784.766,785.987,786.541,786.243,784.986
|
2026-11-04
|
2027-03-03
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the total sales in the next 120 days of this global chain, from 2026-11-04 to 2027-03-03.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales of a global chain store. The data was recorded from 2025-10-08 to 2026-11-03, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores on 2025-11-01 and 2026-06-21 respectively. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this trend is not expected to happen again in the future.
|
<history>611.558,612.137,612.767,613.546,614.575,615.832,617.370,619.054,620.760,622.321,623.521,624.145,624.018,622.973,620.969,617.990,614.084,609.484,604.389,599.077,593.899,589.113,585.069,581.937,579.906,578.984,680.064,580.251,582.487,585.077,585.544,589.350,591.294,596.740,602.014,598.720,598.171,602.458,603.265,600.638,600.593,605.036,605.938,607.939,613.298,610.702,618.722,623.459,627.942,631.574,630.852,637.641,639.172,640.402,641.333,642.061,642.629,643.241,643.981,644.902,646.085,647.558,649.175,650.893,652.522,653.828,654.639,654.770,654.028,652.369,649.717,646.155,641.805,636.928,631.762,626.597,621.751,617.552,614.198,611.883,610.664,610.560,611.469,613.241,615.589,618.289,621.054,623.632,625.796,627.396,628.372,628.711,628.517,627.893,627.057,626.163,625.446,625.072,625.116,625.666,626.750,628.302,630.205,632.349,634.530,636.662,638.596,640.241,641.583,642.605,643.384,644.034,644.639,645.327,646.199,647.341,648.700,650.306,652.009,653.677,655.086,656.076,656.436,655.989,654.609,652.263,649.011,644.935,640.209,635.139,629.979,625.047,620.646,617.041,614.411,612.885,612.469,613.091,614.608,616.809,619.431,622.202,624.844,627.109,628.912,630.082,630.631,630.609,630.103,629.341,628.498,627.743,627.272,627.212,627.675,628.650,630.117,631.969,634.085,636.328,638.534,640.588,642.349,643.833,644.961,645.860,646.545,647.162,647.856,648.694,649.765,651.088,652.639,654.348,656.057,657.605,658.752,659.320,659.128,658.041,655.969,652.973,649.103,644.515,639.494,634.284,629.240,624.643,620.759,617.826,615.927,615.181,615.526,616.821,618.856,621.408,624.190,626.931,629.379,631.360,632.727,633.480,633.625,633.291,632.602,631.763,630.990,630.440,630.295,630.628,631.482,632.865,634.673,636.812,639.071,641.358,643.523,645.429,647.030,648.295,649.287,650.056,650.706,651.384,652.186,653.204,654.501,656.024,657.748,659.520,661.155,662.480,663.259,663.345,662.523,660.753,657.975,654.302,649.859,644.874,639.634,634.443,629.602,625.439,622.156,619.970,618.861,618.932,620.008,621.892,624.409,627.204,630.049,632.666,634.870,636.472,637.454,637.783,648.613,659.057,669.274,679.486,689.891,700.650,711.881,723.660,735.965,739.780,741.636,735.804,736.514,736.660,738.680,740.405,741.795,742.895,743.716,744.416,745.104,745.890,746.858,748.111,749.624,751.349,753.157,754.906,756.404,757.414,757.753,757.224,755.732,753.251,749.791,745.507,740.583,735.323,730.020,725.013,720.569,716.992,714.447,713.054,712.814,713.659,715.421,717.869,720.690,723.654,726.457,728.877,730.726,731.938,732.480,732.416,731.911,731.132,730.270,729.556,729.128,729.134,729.711,730.800,732.405,734.388,736.643,739.006,741.297,743.416,745.219,746.730,747.911,748.813,749.549,750.239,751.005,751.955,753.155,754.616,756.362,758.238,760.088,761.732,762.966,763.566,763.333,762.158,759.967,756.761,752.665,747.902,742.678,737.337,732.164,727.511,723.658,720.803,719.116,718.598,719.215,720.811,723.169,726.012,729.069,732.026,734.642,736.742,738.195,738.943,739.077,738.680,737.943,737.049,736.228,735.659,735.523,735.879,736.776,738.210,740.068,742.208,744.540,746.846,749.013,750.904,752.500,753.753,754.742,755.524,756.225,756.981,757.897,759.063</history>
This time series records the sales of a global chain store. The data was recorded from 2025-10-08 to 2026-11-03, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores on 2025-11-01 and 2026-06-21 respectively. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this trend is not expected to happen again in the future.
Forecast the total sales in the next 120 days of this global chain, from 2026-11-04 to 2027-03-03.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template0/item2
|
GIFT synthesize
|
phase_change
|
D
|
8929.508,10443.771,67981.323,125704.106,156345.302,206220.957,236573.433,264587.699,280818.577,303391.438,310741.613,295466.404,298356.436,294720.125,289977.006,289524.272,285677.974,286660.433,287499.064,275568.353,290152.988,287845.332,288125.522,293595.155,304947.917,309272.920,317241.779,323457.754,329403.385,337271.551,346383.461,347547.994,354705.798,351942.038,363158.874,360543.126,357812.500,350995.364,353811.712,349932.749,354481.969,345561.795,341370.848,335379.014,344189.402,332408.120,326572.510,334095.144,324689.018,328509.802,321900.639,320605.591,325350.490,317935.013,315286.763,309715.359,310559.346,306322.389,308653.876,303870.752,304497.025,304783.661,301983.675,288968.843,294581.105,291282.012,287552.660,295357.221,298358.738,286650.951,293676.593,307469.681,305643.917,309044.772,304921.684,295382.151,306396.697,297781.599,295933.520,299037.451,297564.295,285422.371,301124.861,291576.252,293999.262,285972.155,292596.863,284536.455,283686.161,604685.430,282745.676,283609.537,286964.482,285863.038,275233.614,288347.523,279275.675,285199.959,297419.990,296514.733,308345.354,311808.141,315686.703,322885.370,330598.738,345170.231,355426.120,372089.931,390456.183,407924.026,405452.908,407643.410,410353.278,425263.241,413111.260,416525.598,414480.189,418783.494,418030.203,417553.272,415329.245,410999.248,407976.054,404888.206,390784.406,403114.412,404649.718,401341.175,404627.741,405001.772,414765.523,416019.290,433404.856,426349.124,435243.688,446983.743,447198.208,470565.898,466092.711,483624.061,478991.841,482569.901,482578.911,481285.015,487928.349,485787.505,489165.234,475438.426,478166.342,476395.235,475080.455,472088.732,473962.634,472540.031,481892.935,467003.449,472524.785,463759.110,468203.334,470129.475,462972.435,463591.852,466737.921,462895.730,448786.250,458435.257,456703.985,458758.249,455191.611,450122.700,445708.110,456347.966,451792.631,458578.322,454289.322,462516.525,461542.831,468802.293,471253.446,474217.020,467880.440,471648.554,478575.413,479303.911,476228.369,485300.385,486273.877,478338.442,481466.528,482943.515,483152.054,480315.733,482719.073,488603.761,476736.522,488519.642,490009.896,488211.338,490915.043,490163.655,485689.088,484724.634,485241.443,478783.995,481794.926,481953.968,469158.301,474425.669,474234.613,487142.957,479876.709,473612.833,475236.779,479203.670,487228.997,478332.663,491427.512,503004.578,494119.988,499396.709,498625.294,502192.510,511607.746,513736.617,513153.072,513375.954,515031.346,515473.115,508894.917,515917.965,519413.701,515619.362,515609.035,521612.340,514745.114,519822.675,522711.684,524298.245,525974.488,538332.573,541345.647,546816.937,567959.096,576173.844,581225.753,584549.966,590217.935,603426.839,597420.837,609457.870,610981.968,614706.676,615229.852,607486.707,608879.404,602035.459,613019.689,607291.652,599430.164,597958.187,605344.294,600537.828,598112.130,611622.300,591093.661,600864.399,590691.638,590133.366,596799.161,586653.578,588603.494,584067.339,587017.409,578169.602,576088.704,583934.339,581249.418,576328.117,590338.478,573769.692,579874.718,580453.899,577915.961,576968.364,580859.569,571220.558,576699.190,586887.431,592527.588,585390.891,597583.556,585504.469,594247.635,592368.031,582452.961,586928.970,584835.396,583411.998,589928.107,584414.530,587709.660,594817.459,587891.581,588957.883,582642.161,582072.365,590964.089,586689.143,585703.726,578580.245,574496.775,579952.190,569131.924,566692.424,567054.036,566913.686,562732.416,552317.441,555411.839,557389.141,559180.988,564968.799,569003.835,569686.588,573400.214,571167.400,588180.465,584002.996,582879.529,589396.905,582890.349,594473.631,592467.213,597000.076,584323.329,592009.695,580038.236,589237.535,575034.564,575745.527,580450.956,582419.685,576080.247,576144.459,584734.898,587301.573,597491.663,598427.897,612055.893,617181.520,622042.008,633431.061,642348.168,648973.834,644839.845,658008.520,664833.814,665200.534,667378.066,668613.786,666666.925,665259.572,666926.561,657656.574,651579.776,650829.781,659044.111,653283.300,646071.532,647767.042,654430.983,649614.756,644761.790,641299.497,639468.204,640867.602,638245.884,634575.015,631797.998,633047.881,626488.329,631352.536,631684.874,633231.246,621367.704,630963.426,616917.758,616078.755,623234.247,613552.166,621666.345,616519.364
|
2025-10-06
|
2026-11-01
|
623352.188,624408.984,623449.479,629834.594,625842.862,619901.526,622809.908,633816.161,627558.157,632144.464,628463.566,631381.156,627763.639,624420.664,622564.709,618682.102,612198.099,627499.410,618496.452,627212.478,620929.816,616679.194,623299.196,615890.374,615056.956,610492.037,609604.964,606370.472,607220.847,600905.716,597609.388,594187.672,601114.724,586538.184,589013.489,587700.306,598678.172,591078.440,600801.735,605914.504,607283.514,614537.490,617192.075,611073.588,612091.277,616824.119,613447.998,621803.540,615163.168,616062.223,620989.035,619774.484,612814.545,604360.011,607116.969,605329.016,604212.876,602827.809,601191.606,614601.495,610269.518,617171.715,622287.159,629443.400,634555.505,640533.902,644419.026,656794.767,667589.933,674830.477,680258.803,679202.105,689077.585,683733.663,690138.041,694738.339,690894.262,683199.656,689488.070,684020.361,675251.197,681274.960,681508.282,664284.584,668316.595,663459.781,665562.078,669984.414,668345.132,667969.897,661374.410,659224.972,665186.079,654395.088,651890.611,650999.237,656328.981,645483.897,644921.903,635884.887,636839.914,646421.111,645101.570,645079.931,634620.173,641232.356,634790.241,639780.404,640659.279,639932.781,645548.230,650997.867,644526.376,648340.386,641693.985,649434.904,638523.487,632170.134,644146.976,640226.547
|
2026-11-02
|
2027-03-01
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the total sales in the next 120 days of this global chain store, from 2026-11-02 to 2027-03-01.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales of a global chain store. The data was recorded from 2025-10-06 to 2026-11-01, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this event is not expected to happen again in the future.
|
<history>8929.508,10443.771,67981.323,125704.106,156345.302,206220.957,236573.433,264587.699,280818.577,303391.438,310741.613,295466.404,298356.436,294720.125,289977.006,289524.272,285677.974,286660.433,287499.064,275568.353,290152.988,287845.332,288125.522,293595.155,304947.917,309272.920,317241.779,323457.754,329403.385,337271.551,346383.461,347547.994,354705.798,351942.038,363158.874,360543.126,357812.500,350995.364,353811.712,349932.749,354481.969,345561.795,341370.848,335379.014,344189.402,332408.120,326572.510,334095.144,324689.018,328509.802,321900.639,320605.591,325350.490,317935.013,315286.763,309715.359,310559.346,306322.389,308653.876,303870.752,304497.025,304783.661,301983.675,288968.843,294581.105,291282.012,287552.660,295357.221,298358.738,286650.951,293676.593,307469.681,305643.917,309044.772,304921.684,295382.151,306396.697,297781.599,295933.520,299037.451,297564.295,285422.371,301124.861,291576.252,293999.262,285972.155,292596.863,284536.455,283686.161,604685.430,282745.676,283609.537,286964.482,285863.038,275233.614,288347.523,279275.675,285199.959,297419.990,296514.733,308345.354,311808.141,315686.703,322885.370,330598.738,345170.231,355426.120,372089.931,390456.183,407924.026,405452.908,407643.410,410353.278,425263.241,413111.260,416525.598,414480.189,418783.494,418030.203,417553.272,415329.245,410999.248,407976.054,404888.206,390784.406,403114.412,404649.718,401341.175,404627.741,405001.772,414765.523,416019.290,433404.856,426349.124,435243.688,446983.743,447198.208,470565.898,466092.711,483624.061,478991.841,482569.901,482578.911,481285.015,487928.349,485787.505,489165.234,475438.426,478166.342,476395.235,475080.455,472088.732,473962.634,472540.031,481892.935,467003.449,472524.785,463759.110,468203.334,470129.475,462972.435,463591.852,466737.921,462895.730,448786.250,458435.257,456703.985,458758.249,455191.611,450122.700,445708.110,456347.966,451792.631,458578.322,454289.322,462516.525,461542.831,468802.293,471253.446,474217.020,467880.440,471648.554,478575.413,479303.911,476228.369,485300.385,486273.877,478338.442,481466.528,482943.515,483152.054,480315.733,482719.073,488603.761,476736.522,488519.642,490009.896,488211.338,490915.043,490163.655,485689.088,484724.634,485241.443,478783.995,481794.926,481953.968,469158.301,474425.669,474234.613,487142.957,479876.709,473612.833,475236.779,479203.670,487228.997,478332.663,491427.512,503004.578,494119.988,499396.709,498625.294,502192.510,511607.746,513736.617,513153.072,513375.954,515031.346,515473.115,508894.917,515917.965,519413.701,515619.362,515609.035,521612.340,514745.114,519822.675,522711.684,524298.245,525974.488,538332.573,541345.647,546816.937,567959.096,576173.844,581225.753,584549.966,590217.935,603426.839,597420.837,609457.870,610981.968,614706.676,615229.852,607486.707,608879.404,602035.459,613019.689,607291.652,599430.164,597958.187,605344.294,600537.828,598112.130,611622.300,591093.661,600864.399,590691.638,590133.366,596799.161,586653.578,588603.494,584067.339,587017.409,578169.602,576088.704,583934.339,581249.418,576328.117,590338.478,573769.692,579874.718,580453.899,577915.961,576968.364,580859.569,571220.558,576699.190,586887.431,592527.588,585390.891,597583.556,585504.469,594247.635,592368.031,582452.961,586928.970,584835.396,583411.998,589928.107,584414.530,587709.660,594817.459,587891.581,588957.883,582642.161,582072.365,590964.089,586689.143,585703.726,578580.245,574496.775,579952.190,569131.924,566692.424,567054.036,566913.686,562732.416,552317.441,555411.839,557389.141,559180.988,564968.799,569003.835,569686.588,573400.214,571167.400,588180.465,584002.996,582879.529,589396.905,582890.349,594473.631,592467.213,597000.076,584323.329,592009.695,580038.236,589237.535,575034.564,575745.527,580450.956,582419.685,576080.247,576144.459,584734.898,587301.573,597491.663,598427.897,612055.893,617181.520,622042.008,633431.061,642348.168,648973.834,644839.845,658008.520,664833.814,665200.534,667378.066,668613.786,666666.925,665259.572,666926.561,657656.574,651579.776,650829.781,659044.111,653283.300,646071.532,647767.042,654430.983,649614.756,644761.790,641299.497,639468.204,640867.602,638245.884,634575.015,631797.998,633047.881,626488.329,631352.536,631684.874,633231.246,621367.704,630963.426,616917.758,616078.755,623234.247,613552.166,621666.345,616519.364</history>
This time series records the sales of a global chain store. The data was recorded from 2025-10-06 to 2026-11-01, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this event is not expected to happen again in the future.
Forecast the total sales in the next 120 days of this global chain store, from 2026-11-02 to 2027-03-01.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template1/item2
|
GIFT synthesize
|
phase_change
|
D
|
283.721,283.245,282.819,282.503,282.339,282.080,281.974,281.952,281.943,281.988,282.365,282.597,283.001,283.405,284.042,284.613,285.287,286.058,286.922,287.784,288.848,289.868,291.030,292.270,293.646,294.917,296.267,297.729,299.373,300.936,302.614,304.403,306.072,307.792,309.817,311.730,313.618,315.629,317.679,319.735,321.629,323.855,325.889,328.124,330.185,332.448,334.545,336.736,338.847,341.067,343.104,345.347,347.460,349.491,351.586,353.696,355.692,357.819,359.544,361.470,363.449,365.249,367.043,368.673,370.367,372.070,373.587,375.123,376.567,377.903,379.305,380.484,381.726,382.760,383.827,384.684,385.604,386.452,387.117,387.761,388.325,388.806,389.118,389.572,389.735,389.891,390.015,389.955,389.882,389.778,389.402,389.289,388.978,388.400,387.957,387.276,386.577,385.910,385.124,384.259,383.351,382.467,381.445,380.429,379.288,378.133,376.845,375.734,374.384,373.063,371.744,370.361,368.912,367.487,366.074,364.612,363.215,361.719,360.223,358.815,357.340,355.963,354.520,353.091,351.572,350.242,348.728,347.520,346.213,344.890,343.627,342.494,341.319,340.226,339.150,338.182,337.097,336.211,335.346,334.570,333.803,333.289,476.310,331.996,347.295,362.637,378.203,393.632,409.213,409.243,409.156,409.235,409.347,409.481,409.822,410.250,410.568,411.068,411.785,412.388,413.120,413.979,414.823,415.804,416.845,418.004,419.101,420.447,421.660,422.945,424.408,425.880,427.422,428.951,430.702,432.280,434.057,435.881,437.578,439.570,441.277,443.297,445.220,447.122,449.153,451.031,453.048,455.083,457.163,459.107,461.203,463.243,465.255,467.209,469.139,471.048,473.063,474.959,476.810,478.678,480.482,482.214,484.008,485.755,487.268,488.824,490.445,492.051,493.385,494.835,496.174,497.366,498.551,499.644,500.692,501.695,502.595,503.381,504.123,504.814,505.514,505.852,506.330,506.586,506.996,507.096,507.293,507.256,507.296,507.164,506.957,506.707,506.340,505.888,505.349,504.820,504.047,503.396,882.783,847.931,826.623,825.703,824.572,823.513,822.415,821.177,819.806,818.596,817.230,815.797,814.363,812.886,811.373,809.973,808.278,806.758,805.114,803.586,801.861,800.396,798.747,797.132,795.450,793.905,792.239,790.751,789.045,787.549,785.944,784.387,783.080,781.558,780.177,778.812,777.515,776.160,775.014,773.880,772.721,771.772,770.714,769.864,768.975,768.120,767.403,766.749,766.134,765.803,765.367,764.908,764.731,764.381,764.233,764.276,764.461,764.545,764.693,765.048,765.402,765.818,766.356,766.976,767.646,768.417,769.275,770.102,771.261,772.192,773.282,774.507,775.880,777.251,778.651,780.083,781.634,783.134,784.703,786.464,788.201,790.017,791.816,793.623,795.424,797.359,799.356,801.311,803.244,805.219,807.253,809.238,811.250,813.246,815.343,817.325,819.233,821.243,823.294,825.156,827.092,829.008,830.849,832.598,834.471,836.134,837.867,839.439,841.147,842.672,844.044,845.554,846.859,848.218,849.413,850.631,851.703,852.703,853.659,854.534,855.165,855.936,856.514,857.123,857.594,857.960,858.191,858.439,858.570,858.575,858.545,858.465,858.170,857.850,857.456,856.989,856.436,855.769,855.082,854.357,853.521,852.494,851.545,850.487,849.291,848.128,846.783,845.517,844.065,842.696,841.155,839.631,838.180,836.472
|
2025-10-06
|
2026-11-01
|
834.774,833.183,831.392,829.731,827.866,826.199,824.378,822.613,820.723,819.012,817.100,815.319,813.508,811.761,809.987,808.011,806.384,804.654,803.007,801.309,799.825,798.091,796.621,795.236,793.812,792.439,790.985,789.683,788.603,787.428,786.277,785.284,784.306,783.537,782.641,781.894,781.296,780.809,780.356,779.817,779.474,779.251,779.182,779.128,779.155,779.230,779.386,779.572,780.082,780.455,780.858,781.538,782.136,782.981,783.753,784.504,785.607,786.796,787.848,788.865,790.113,791.445,792.892,794.309,795.722,797.351,798.933,800.463,802.133,803.925,805.677,807.379,809.346,811.089,812.923,814.774,816.769,818.638,820.515,822.405,824.356,826.284,828.083,830.099,831.864,833.763,835.580,837.401,839.195,840.894,842.648,844.328,845.882,847.452,849.055,850.468,851.998,853.288,854.675,855.896,857.060,858.171,859.121,860.197,861.135,861.871,862.625,863.284,863.926,864.466,864.739,865.136,865.462,865.663,865.696,865.815,865.584,865.604,865.277,864.967
|
2026-11-02
|
2027-03-01
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the total sales in the next 120 days of this global chain store, from 2026-11-02 to 2027-03-01.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales of a global chain store. The data was recorded from 2025-10-06 to 2026-11-01, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this event is not expected to happen again in the future.
|
<history>283.721,283.245,282.819,282.503,282.339,282.080,281.974,281.952,281.943,281.988,282.365,282.597,283.001,283.405,284.042,284.613,285.287,286.058,286.922,287.784,288.848,289.868,291.030,292.270,293.646,294.917,296.267,297.729,299.373,300.936,302.614,304.403,306.072,307.792,309.817,311.730,313.618,315.629,317.679,319.735,321.629,323.855,325.889,328.124,330.185,332.448,334.545,336.736,338.847,341.067,343.104,345.347,347.460,349.491,351.586,353.696,355.692,357.819,359.544,361.470,363.449,365.249,367.043,368.673,370.367,372.070,373.587,375.123,376.567,377.903,379.305,380.484,381.726,382.760,383.827,384.684,385.604,386.452,387.117,387.761,388.325,388.806,389.118,389.572,389.735,389.891,390.015,389.955,389.882,389.778,389.402,389.289,388.978,388.400,387.957,387.276,386.577,385.910,385.124,384.259,383.351,382.467,381.445,380.429,379.288,378.133,376.845,375.734,374.384,373.063,371.744,370.361,368.912,367.487,366.074,364.612,363.215,361.719,360.223,358.815,357.340,355.963,354.520,353.091,351.572,350.242,348.728,347.520,346.213,344.890,343.627,342.494,341.319,340.226,339.150,338.182,337.097,336.211,335.346,334.570,333.803,333.289,476.310,331.996,347.295,362.637,378.203,393.632,409.213,409.243,409.156,409.235,409.347,409.481,409.822,410.250,410.568,411.068,411.785,412.388,413.120,413.979,414.823,415.804,416.845,418.004,419.101,420.447,421.660,422.945,424.408,425.880,427.422,428.951,430.702,432.280,434.057,435.881,437.578,439.570,441.277,443.297,445.220,447.122,449.153,451.031,453.048,455.083,457.163,459.107,461.203,463.243,465.255,467.209,469.139,471.048,473.063,474.959,476.810,478.678,480.482,482.214,484.008,485.755,487.268,488.824,490.445,492.051,493.385,494.835,496.174,497.366,498.551,499.644,500.692,501.695,502.595,503.381,504.123,504.814,505.514,505.852,506.330,506.586,506.996,507.096,507.293,507.256,507.296,507.164,506.957,506.707,506.340,505.888,505.349,504.820,504.047,503.396,882.783,847.931,826.623,825.703,824.572,823.513,822.415,821.177,819.806,818.596,817.230,815.797,814.363,812.886,811.373,809.973,808.278,806.758,805.114,803.586,801.861,800.396,798.747,797.132,795.450,793.905,792.239,790.751,789.045,787.549,785.944,784.387,783.080,781.558,780.177,778.812,777.515,776.160,775.014,773.880,772.721,771.772,770.714,769.864,768.975,768.120,767.403,766.749,766.134,765.803,765.367,764.908,764.731,764.381,764.233,764.276,764.461,764.545,764.693,765.048,765.402,765.818,766.356,766.976,767.646,768.417,769.275,770.102,771.261,772.192,773.282,774.507,775.880,777.251,778.651,780.083,781.634,783.134,784.703,786.464,788.201,790.017,791.816,793.623,795.424,797.359,799.356,801.311,803.244,805.219,807.253,809.238,811.250,813.246,815.343,817.325,819.233,821.243,823.294,825.156,827.092,829.008,830.849,832.598,834.471,836.134,837.867,839.439,841.147,842.672,844.044,845.554,846.859,848.218,849.413,850.631,851.703,852.703,853.659,854.534,855.165,855.936,856.514,857.123,857.594,857.960,858.191,858.439,858.570,858.575,858.545,858.465,858.170,857.850,857.456,856.989,856.436,855.769,855.082,854.357,853.521,852.494,851.545,850.487,849.291,848.128,846.783,845.517,844.065,842.696,841.155,839.631,838.180,836.472</history>
This time series records the sales of a global chain store. The data was recorded from 2025-10-06 to 2026-11-01, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this event is not expected to happen again in the future.
Forecast the total sales in the next 120 days of this global chain store, from 2026-11-02 to 2027-03-01.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template2/item2
|
GIFT synthesize
|
phase_change
|
D
|
479.431,476.140,473.786,472.449,471.995,472.048,472.347,472.387,471.799,470.357,467.704,463.918,459.103,453.543,447.722,442.220,437.570,434.268,432.820,433.475,436.400,441.415,448.266,456.482,465.410,474.455,482.878,490.137,495.654,499.219,500.702,500.174,497.947,494.419,490.048,485.526,481.209,477.493,474.743,472.992,472.145,472.008,472.254,472.441,472.123,471.102,468.934,465.616,461.160,455.815,450.051,444.283,439.188,435.237,432.918,432.642,434.653,438.815,444.970,452.678,461.468,470.620,479.471,487.300,493.654,498.118,500.539,500.838,499.334,496.299,492.222,487.743,483.204,479.204,475.995,473.761,472.512,472.088,472.225,472.430,472.363,780.667,469.926,483.952,495.935,506.041,514.565,522.020,528.867,535.821,543.303,551.728,561.406,572.470,584.720,597.857,611.374,624.553,636.773,647.475,655.976,661.292,664.616,665.868,665.154,662.686,659.026,654.645,650.098,645.769,642.200,639.474,637.871,637.050,636.939,637.074,637.157,636.726,635.356,632.963,629.431,624.757,619.315,613.488,607.804,602.771,599.091,597.078,597.225,599.543,604.061,610.516,618.487,627.448,636.596,645.405,653.148,659.293,663.531,665.694,665.763,664.043,660.888,656.786,652.202,647.779,643.824,640.732,638.618,637.420,636.959,637.002,637.165,636.905,635.959,633.998,630.942,626.707,621.545,615.843,610.043,604.718,600.415,597.658,596.898,598.262,601.859,607.585,614.936,623.538,632.705,641.712,649.899,656.810,661.911,664.984,665.936,664.959,662.408,658.674,654.256,649.717,645.551,642.070,639.486,637.872,637.184,636.998,637.099,637.029,636.414,634.893,632.285,628.554,623.786,618.264,612.504,606.903,602.167,598.739,597.090,597.520,600.215,604.987,611.692,619.798,628.773,637.831,646.423,653.937,659.811,663.754,665.605,665.417,663.520,660.318,656.130,651.664,647.344,643.483,640.547,638.520,637.442,637.037,637.039,637.061,636.726,635.620,633.473,630.242,625.867,620.685,615.046,609.352,604.283,600.225,597.828,597.320,599.034,602.975,608.816,616.307,624.904,633.926,642.748,650.716,657.274,662.055,664.752,665.478,664.312,661.627,657.841,653.484,649.093,645.000,641.699,639.288,637.815,637.176,637.019,637.055,636.885,636.122,634.456,631.735,627.847,623.098,617.584,611.951,606.563,602.029,598.966,597.623,598.436,601.325,606.370,613.179,670.988,718.475,755.008,779.898,787.005,778.840,772.497,773.988,773.669,771.584,768.253,764.165,759.694,755.454,751.833,749.089,747.244,746.271,745.905,745.925,745.892,745.424,744.169,741.957,738.552,734.204,729.006,723.460,717.949,713.070,709.331,707.285,707.107,709.096,713.201,719.215,726.742,735.263,744.164,752.644,760.236,766.490,770.861,773.285,773.719,772.364,769.549,765.724,761.429,757.133,753.295,750.154,747.900,746.606,746.016,745.916,745.926,745.678,744.781,742.991,740.072,736.190,731.389,726.003,720.440,715.264,711.090,708.190,707.226,708.256,711.482,716.672,723.526,731.632,740.322,749.013,757.016,763.819,768.943,772.273,773.525,772.869,770.693,767.314,763.230,758.913,754.833,751.417,748.820,747.087,746.182,745.917,745.904,745.776,745.150,743.849,741.400,737.943,733.507,728.353,722.823,717.470,712.839,709.367,707.576,707.755,710.034,714.403,720.525,728.092,736.576,745.275,753.662,760.985
|
2025-10-08
|
2026-11-03
|
766.863,770.933,773.056,773.268,771.744,768.861,765.038,760.811,756.603,752.883,749.936,747.797,746.533,746.017,745.952,745.858,745.508,744.418,742.477,739.442,735.386,730.502,725.105,719.654,714.699,710.725,708.149,707.482,708.832,712.297,717.729,724.710,732.909,741.567,750.111,757.889,764.501,769.389,772.375,773.375,772.621,770.235,766.854,762.776,758.561,754.600,751.249,748.757,747.159,746.316,746.020,745.928,745.699,744.866,743.364,740.691,737.054,732.490,727.282,721.814,716.606,712.120,708.989,707.438,707.904,710.538,715.160,721.538,729.303,737.802,746.497,754.687,761.896,767.542,771.414,773.289,773.308,771.578,768.641,764.761,760.584,756.443,752.850,749.876,747.918,746.701,746.196,746.017,745.792,745.259,744.014,741.798,738.607,734.366,729.371,723.929,718.515,713.662,709.933,707.633,707.277,708.982,712.791,718.510,725.760,733.982,742.740,751.304,759.044,765.449,770.138,772.879,773.709,772.766,770.306,766.757,762.645,758.368,754.484,751.283
|
2026-11-04
|
2027-03-03
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the total sales in the next 120 days of this global chain store, from 2026-11-04 to 2027-03-03.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales of a global chain store. The data was recorded from 2025-10-08 to 2026-11-03, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this event is not expected to happen again in the future.
|
<history>479.431,476.140,473.786,472.449,471.995,472.048,472.347,472.387,471.799,470.357,467.704,463.918,459.103,453.543,447.722,442.220,437.570,434.268,432.820,433.475,436.400,441.415,448.266,456.482,465.410,474.455,482.878,490.137,495.654,499.219,500.702,500.174,497.947,494.419,490.048,485.526,481.209,477.493,474.743,472.992,472.145,472.008,472.254,472.441,472.123,471.102,468.934,465.616,461.160,455.815,450.051,444.283,439.188,435.237,432.918,432.642,434.653,438.815,444.970,452.678,461.468,470.620,479.471,487.300,493.654,498.118,500.539,500.838,499.334,496.299,492.222,487.743,483.204,479.204,475.995,473.761,472.512,472.088,472.225,472.430,472.363,780.667,469.926,483.952,495.935,506.041,514.565,522.020,528.867,535.821,543.303,551.728,561.406,572.470,584.720,597.857,611.374,624.553,636.773,647.475,655.976,661.292,664.616,665.868,665.154,662.686,659.026,654.645,650.098,645.769,642.200,639.474,637.871,637.050,636.939,637.074,637.157,636.726,635.356,632.963,629.431,624.757,619.315,613.488,607.804,602.771,599.091,597.078,597.225,599.543,604.061,610.516,618.487,627.448,636.596,645.405,653.148,659.293,663.531,665.694,665.763,664.043,660.888,656.786,652.202,647.779,643.824,640.732,638.618,637.420,636.959,637.002,637.165,636.905,635.959,633.998,630.942,626.707,621.545,615.843,610.043,604.718,600.415,597.658,596.898,598.262,601.859,607.585,614.936,623.538,632.705,641.712,649.899,656.810,661.911,664.984,665.936,664.959,662.408,658.674,654.256,649.717,645.551,642.070,639.486,637.872,637.184,636.998,637.099,637.029,636.414,634.893,632.285,628.554,623.786,618.264,612.504,606.903,602.167,598.739,597.090,597.520,600.215,604.987,611.692,619.798,628.773,637.831,646.423,653.937,659.811,663.754,665.605,665.417,663.520,660.318,656.130,651.664,647.344,643.483,640.547,638.520,637.442,637.037,637.039,637.061,636.726,635.620,633.473,630.242,625.867,620.685,615.046,609.352,604.283,600.225,597.828,597.320,599.034,602.975,608.816,616.307,624.904,633.926,642.748,650.716,657.274,662.055,664.752,665.478,664.312,661.627,657.841,653.484,649.093,645.000,641.699,639.288,637.815,637.176,637.019,637.055,636.885,636.122,634.456,631.735,627.847,623.098,617.584,611.951,606.563,602.029,598.966,597.623,598.436,601.325,606.370,613.179,670.988,718.475,755.008,779.898,787.005,778.840,772.497,773.988,773.669,771.584,768.253,764.165,759.694,755.454,751.833,749.089,747.244,746.271,745.905,745.925,745.892,745.424,744.169,741.957,738.552,734.204,729.006,723.460,717.949,713.070,709.331,707.285,707.107,709.096,713.201,719.215,726.742,735.263,744.164,752.644,760.236,766.490,770.861,773.285,773.719,772.364,769.549,765.724,761.429,757.133,753.295,750.154,747.900,746.606,746.016,745.916,745.926,745.678,744.781,742.991,740.072,736.190,731.389,726.003,720.440,715.264,711.090,708.190,707.226,708.256,711.482,716.672,723.526,731.632,740.322,749.013,757.016,763.819,768.943,772.273,773.525,772.869,770.693,767.314,763.230,758.913,754.833,751.417,748.820,747.087,746.182,745.917,745.904,745.776,745.150,743.849,741.400,737.943,733.507,728.353,722.823,717.470,712.839,709.367,707.576,707.755,710.034,714.403,720.525,728.092,736.576,745.275,753.662,760.985</history>
This time series records the sales of a global chain store. The data was recorded from 2025-10-08 to 2026-11-03, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this event is not expected to happen again in the future.
Forecast the total sales in the next 120 days of this global chain store, from 2026-11-04 to 2027-03-03.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template3/item2
|
GIFT synthesize
|
phase_change
|
D
|
283.614,284.032,284.267,283.932,282.753,280.761,278.257,275.854,274.106,273.402,273.825,274.980,276.275,276.988,276.613,275.014,272.503,269.691,267.307,266.011,266.019,267.221,269.129,271.073,272.438,272.874,272.283,270.909,269.143,267.338,265.776,264.601,263.777,263.308,263.220,263.665,264.808,266.785,269.569,272.944,276.475,279.637,282.018,283.409,283.875,283.740,283.456,283.362,283.600,284.028,284.300,283.994,282.824,280.800,288.050,283.144,282.396,289.974,299.821,303.611,314.790,326.543,331.132,330.841,320.980,316.486,312.879,311.555,311.564,312.803,314.732,316.696,318.076,318.499,317.895,316.520,314.728,312.911,311.370,310.177,309.360,308.883,308.788,309.233,310.359,312.339,315.130,318.523,322.054,325.243,327.624,329.014,329.462,329.330,329.035,328.945,329.197,329.640,329.938,329.640,328.476,326.436,323.892,321.397,319.591,318.871,319.291,320.511,321.859,322.630,322.293,320.712,318.156,315.303,312.893,311.536,311.547,312.782,314.725,316.711,318.109,318.550,317.973,316.571,314.759,312.937,311.357,310.146,309.307,308.829,308.745,309.187,310.334,312.330,315.154,318.521,322.058,325.224,327.601,329.002,329.465,329.340,329.053,328.986,329.252,329.702,329.983,329.666,328.493,326.447,323.884,321.392,319.564,318.843,319.271,320.459,321.815,322.605,322.289,320.719,318.183,315.331,312.917,311.562,311.559,312.759,314.690,316.684,318.100,318.564,318.005,316.636,314.841,312.995,311.359,310.112,309.248,308.735,308.674,309.131,310.324,312.343,315.176,318.556,322.058,390.874,382.022,375.190,375.671,375.589,375.327,375.283,375.553,375.992,376.250,375.921,374.708,372.659,370.107,367.630,365.826,365.097,365.493,366.699,368.019,368.804,368.495,366.944,364.444,361.617,359.208,357.842,357.805,358.975,360.881,362.853,364.295,364.795,364.276,362.934,361.144,359.276,357.623,356.323,355.417,354.886,354.827,355.315,356.545,358.615,361.440,364.808,368.283,371.389,373.743,375.125,375.637,375.569,375.362,375.343,375.612,376.029,376.257,375.904,374.679,372.651,370.109,367.651,365.865,365.148,365.531,366.694,368.013,368.767,368.457,366.941,364.453,361.657,359.257,357.871,357.798,358.940,360.817,362.792,364.233,364.765,364.271,362.967,361.187,359.322,357.634,356.312,355.392,354.859,354.799,355.308,356.567,358.631,361.465,364.811,368.268,371.379,373.703,375.079,375.598,375.558,375.376,375.352,375.613,376.035,376.253,375.886,374.676,372.652,370.125,367.685,365.906,365.182,365.570,366.719,368.011,368.765,368.450,366.937,364.468,361.675,359.267,357.876,357.807,358.928,360.788,362.749,364.177,364.723,364.261,362.961,361.186,359.320,357.661,356.343,355.399,354.881,354.825,355.342,356.568,358.633,361.449,364.799,368.268,371.340,373.690,375.066,375.595,375.554,375.351,375.320,375.585,375.996,376.247,375.887,374.673,372.660,370.171,367.729,365.942,365.204,365.577,366.733,368.047,368.798,368.473,366.967,364.491,361.680,359.258,357.867,357.782,358.915,360.770,362.742,364.175,364.710,364.215,362.920,361.158,359.304,357.669,356.376,355.460,354.949,354.892,355.391,356.575,358.618,361.404,364.754,368.218,371.345,373.694,375.098,375.605,375.553,375.324,375.268,375.522,375.947,376.204,375.881,374.721,372.711,370.207,367.746
|
2025-10-08
|
2026-11-03
|
365.958,365.208,365.571,366.737,368.058,368.824,368.525,366.997,364.506,361.661,359.230,357.835,357.754,358.913,360.779,362.744,364.195,364.699,364.182,362.869,361.095,359.264,357.666,356.419,355.554,355.051,354.982,355.416,356.574,358.553,361.315,364.673,368.178,371.329,373.732,375.142,375.661,375.558,375.291,375.197,375.450,375.884,376.178,375.879,374.739,372.758,370.251,367.779,365.949,365.197,365.572,366.741,368.071,368.854,368.558,367.021,364.502,361.646,359.198,357.805,357.746,358.917,360.819,362.779,364.222,364.694,364.157,362.819,361.053,359.241,357.663,356.470,355.631,355.146,355.026,355.437,356.542,358.478,361.241,364.596,368.129,371.331,373.757,375.188,375.700,375.589,375.291,375.183,375.394,375.842,376.137,375.885,374.756,372.795,370.284,367.806,365.951,365.195,365.555,366.714,368.058,368.853,368.555,367.020,364.502,361.646,359.192,357.818,357.763,358.937,360.855,362.836,364.247,364.707,364.150,362.812,361.045,359.239,357.670,356.477
|
2026-11-04
|
2027-03-03
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the total sales in the next 120 days of this global chain store, from 2026-11-04 to 2027-03-03.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales of a global chain store. The data was recorded from 2025-10-08 to 2026-11-03, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this event is not expected to happen again in the future.
|
<history>283.614,284.032,284.267,283.932,282.753,280.761,278.257,275.854,274.106,273.402,273.825,274.980,276.275,276.988,276.613,275.014,272.503,269.691,267.307,266.011,266.019,267.221,269.129,271.073,272.438,272.874,272.283,270.909,269.143,267.338,265.776,264.601,263.777,263.308,263.220,263.665,264.808,266.785,269.569,272.944,276.475,279.637,282.018,283.409,283.875,283.740,283.456,283.362,283.600,284.028,284.300,283.994,282.824,280.800,288.050,283.144,282.396,289.974,299.821,303.611,314.790,326.543,331.132,330.841,320.980,316.486,312.879,311.555,311.564,312.803,314.732,316.696,318.076,318.499,317.895,316.520,314.728,312.911,311.370,310.177,309.360,308.883,308.788,309.233,310.359,312.339,315.130,318.523,322.054,325.243,327.624,329.014,329.462,329.330,329.035,328.945,329.197,329.640,329.938,329.640,328.476,326.436,323.892,321.397,319.591,318.871,319.291,320.511,321.859,322.630,322.293,320.712,318.156,315.303,312.893,311.536,311.547,312.782,314.725,316.711,318.109,318.550,317.973,316.571,314.759,312.937,311.357,310.146,309.307,308.829,308.745,309.187,310.334,312.330,315.154,318.521,322.058,325.224,327.601,329.002,329.465,329.340,329.053,328.986,329.252,329.702,329.983,329.666,328.493,326.447,323.884,321.392,319.564,318.843,319.271,320.459,321.815,322.605,322.289,320.719,318.183,315.331,312.917,311.562,311.559,312.759,314.690,316.684,318.100,318.564,318.005,316.636,314.841,312.995,311.359,310.112,309.248,308.735,308.674,309.131,310.324,312.343,315.176,318.556,322.058,390.874,382.022,375.190,375.671,375.589,375.327,375.283,375.553,375.992,376.250,375.921,374.708,372.659,370.107,367.630,365.826,365.097,365.493,366.699,368.019,368.804,368.495,366.944,364.444,361.617,359.208,357.842,357.805,358.975,360.881,362.853,364.295,364.795,364.276,362.934,361.144,359.276,357.623,356.323,355.417,354.886,354.827,355.315,356.545,358.615,361.440,364.808,368.283,371.389,373.743,375.125,375.637,375.569,375.362,375.343,375.612,376.029,376.257,375.904,374.679,372.651,370.109,367.651,365.865,365.148,365.531,366.694,368.013,368.767,368.457,366.941,364.453,361.657,359.257,357.871,357.798,358.940,360.817,362.792,364.233,364.765,364.271,362.967,361.187,359.322,357.634,356.312,355.392,354.859,354.799,355.308,356.567,358.631,361.465,364.811,368.268,371.379,373.703,375.079,375.598,375.558,375.376,375.352,375.613,376.035,376.253,375.886,374.676,372.652,370.125,367.685,365.906,365.182,365.570,366.719,368.011,368.765,368.450,366.937,364.468,361.675,359.267,357.876,357.807,358.928,360.788,362.749,364.177,364.723,364.261,362.961,361.186,359.320,357.661,356.343,355.399,354.881,354.825,355.342,356.568,358.633,361.449,364.799,368.268,371.340,373.690,375.066,375.595,375.554,375.351,375.320,375.585,375.996,376.247,375.887,374.673,372.660,370.171,367.729,365.942,365.204,365.577,366.733,368.047,368.798,368.473,366.967,364.491,361.680,359.258,357.867,357.782,358.915,360.770,362.742,364.175,364.710,364.215,362.920,361.158,359.304,357.669,356.376,355.460,354.949,354.892,355.391,356.575,358.618,361.404,364.754,368.218,371.345,373.694,375.098,375.605,375.553,375.324,375.268,375.522,375.947,376.204,375.881,374.721,372.711,370.207,367.746</history>
This time series records the sales of a global chain store. The data was recorded from 2025-10-08 to 2026-11-03, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this event is not expected to happen again in the future.
Forecast the total sales in the next 120 days of this global chain store, from 2026-11-04 to 2027-03-03.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template4/item2
|
GIFT synthesize
|
phase_change
|
D
|
611.558,612.137,612.767,613.546,614.575,615.832,617.370,619.054,620.760,622.321,623.521,624.145,624.018,622.973,620.969,617.990,614.084,609.484,604.389,599.077,593.899,589.113,585.069,581.937,579.906,578.984,680.064,580.251,582.487,585.077,585.544,589.350,591.294,596.740,602.014,598.720,598.171,602.458,603.265,600.638,600.593,605.036,605.938,607.939,613.298,610.702,618.722,623.459,627.942,631.574,630.852,637.641,639.172,640.402,641.333,642.061,642.629,643.241,643.981,644.902,646.085,647.558,649.175,650.893,652.522,653.828,654.639,654.770,654.028,652.369,649.717,646.155,641.805,636.928,631.762,626.597,621.751,617.552,614.198,611.883,610.664,610.560,611.469,613.241,615.589,618.289,621.054,623.632,625.796,627.396,628.372,628.711,628.517,627.893,627.057,626.163,625.446,625.072,625.116,625.666,626.750,628.302,630.205,632.349,634.530,636.662,638.596,640.241,641.583,642.605,643.384,644.034,644.639,645.327,646.199,647.341,648.700,650.306,652.009,653.677,655.086,656.076,656.436,655.989,654.609,652.263,649.011,644.935,640.209,635.139,629.979,625.047,620.646,617.041,614.411,612.885,612.469,613.091,614.608,616.809,619.431,622.202,624.844,627.109,628.912,630.082,630.631,630.609,630.103,629.341,628.498,627.743,627.272,627.212,627.675,628.650,630.117,631.969,634.085,636.328,638.534,640.588,642.349,643.833,644.961,645.860,646.545,647.162,647.856,648.694,649.765,651.088,652.639,654.348,656.057,657.605,658.752,659.320,659.128,658.041,655.969,652.973,649.103,644.515,639.494,634.284,629.240,624.643,620.759,617.826,615.927,615.181,615.526,616.821,618.856,621.408,624.190,626.931,629.379,631.360,632.727,633.480,633.625,633.291,632.602,631.763,630.990,630.440,630.295,630.628,631.482,632.865,634.673,636.812,639.071,641.358,643.523,645.429,647.030,648.295,649.287,650.056,650.706,651.384,652.186,653.204,654.501,656.024,657.748,659.520,661.155,662.480,663.259,663.345,662.523,660.753,657.975,654.302,649.859,644.874,639.634,634.443,629.602,625.439,622.156,619.970,618.861,618.932,620.008,621.892,624.409,627.204,630.049,632.666,634.870,636.472,637.454,637.783,648.613,659.057,669.274,679.486,689.891,700.650,711.881,723.660,735.965,739.780,741.636,735.804,736.514,736.660,738.680,740.405,741.795,742.895,743.716,744.416,745.104,745.890,746.858,748.111,749.624,751.349,753.157,754.906,756.404,757.414,757.753,757.224,755.732,753.251,749.791,745.507,740.583,735.323,730.020,725.013,720.569,716.992,714.447,713.054,712.814,713.659,715.421,717.869,720.690,723.654,726.457,728.877,730.726,731.938,732.480,732.416,731.911,731.132,730.270,729.556,729.128,729.134,729.711,730.800,732.405,734.388,736.643,739.006,741.297,743.416,745.219,746.730,747.911,748.813,749.549,750.239,751.005,751.955,753.155,754.616,756.362,758.238,760.088,761.732,762.966,763.566,763.333,762.158,759.967,756.761,752.665,747.902,742.678,737.337,732.164,727.511,723.658,720.803,719.116,718.598,719.215,720.811,723.169,726.012,729.069,732.026,734.642,736.742,738.195,738.943,739.077,738.680,737.943,737.049,736.228,735.659,735.523,735.879,736.776,738.210,740.068,742.208,744.540,746.846,749.013,750.904,752.500,753.753,754.742,755.524,756.225,756.981,757.897,759.063
|
2025-10-08
|
2026-11-03
|
760.510,762.240,764.129,766.066,767.857,769.278,770.128,770.189,769.330,767.455,764.540,760.724,756.127,751.017,745.674,740.431,735.624,731.518,728.398,726.404,725.619,725.956,727.359,729.582,732.377,735.447,738.521,741.346,743.640,745.325,746.317,746.640,746.404,745.737,744.866,743.992,743.305,743.009,743.154,743.865,745.095,746.803,748.853,751.087,753.405,755.580,757.556,759.232,760.590,761.652,762.508,763.256,764.032,764.941,766.065,767.488,769.171,771.050,773.033,774.912,776.495,777.548,777.885,777.334,775.759,773.169,769.658,765.271,760.298,755.044,749.771,744.847,740.559,737.169,734.878,733.756,733.817,734.945,736.979,739.648,742.706,745.823,748.744,751.246,753.142,754.364,754.898,754.843,754.300,753.511,752.629,751.880,751.459,751.476,752.001,753.079,754.629,756.574,758.766,761.051,763.249,765.301,767.095,768.558,769.736,770.689,771.515,772.308,773.216,774.297,775.682,777.320,779.185,781.152,783.080,784.766,785.987,786.541,786.243,784.986
|
2026-11-04
|
2027-03-03
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the total sales in the next 120 days of this global chain store, from 2026-11-04 to 2027-03-03.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the sales of a global chain store. The data was recorded from 2025-10-08 to 2026-11-03, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this event is not expected to happen again in the future.
|
<history>611.558,612.137,612.767,613.546,614.575,615.832,617.370,619.054,620.760,622.321,623.521,624.145,624.018,622.973,620.969,617.990,614.084,609.484,604.389,599.077,593.899,589.113,585.069,581.937,579.906,578.984,680.064,580.251,582.487,585.077,585.544,589.350,591.294,596.740,602.014,598.720,598.171,602.458,603.265,600.638,600.593,605.036,605.938,607.939,613.298,610.702,618.722,623.459,627.942,631.574,630.852,637.641,639.172,640.402,641.333,642.061,642.629,643.241,643.981,644.902,646.085,647.558,649.175,650.893,652.522,653.828,654.639,654.770,654.028,652.369,649.717,646.155,641.805,636.928,631.762,626.597,621.751,617.552,614.198,611.883,610.664,610.560,611.469,613.241,615.589,618.289,621.054,623.632,625.796,627.396,628.372,628.711,628.517,627.893,627.057,626.163,625.446,625.072,625.116,625.666,626.750,628.302,630.205,632.349,634.530,636.662,638.596,640.241,641.583,642.605,643.384,644.034,644.639,645.327,646.199,647.341,648.700,650.306,652.009,653.677,655.086,656.076,656.436,655.989,654.609,652.263,649.011,644.935,640.209,635.139,629.979,625.047,620.646,617.041,614.411,612.885,612.469,613.091,614.608,616.809,619.431,622.202,624.844,627.109,628.912,630.082,630.631,630.609,630.103,629.341,628.498,627.743,627.272,627.212,627.675,628.650,630.117,631.969,634.085,636.328,638.534,640.588,642.349,643.833,644.961,645.860,646.545,647.162,647.856,648.694,649.765,651.088,652.639,654.348,656.057,657.605,658.752,659.320,659.128,658.041,655.969,652.973,649.103,644.515,639.494,634.284,629.240,624.643,620.759,617.826,615.927,615.181,615.526,616.821,618.856,621.408,624.190,626.931,629.379,631.360,632.727,633.480,633.625,633.291,632.602,631.763,630.990,630.440,630.295,630.628,631.482,632.865,634.673,636.812,639.071,641.358,643.523,645.429,647.030,648.295,649.287,650.056,650.706,651.384,652.186,653.204,654.501,656.024,657.748,659.520,661.155,662.480,663.259,663.345,662.523,660.753,657.975,654.302,649.859,644.874,639.634,634.443,629.602,625.439,622.156,619.970,618.861,618.932,620.008,621.892,624.409,627.204,630.049,632.666,634.870,636.472,637.454,637.783,648.613,659.057,669.274,679.486,689.891,700.650,711.881,723.660,735.965,739.780,741.636,735.804,736.514,736.660,738.680,740.405,741.795,742.895,743.716,744.416,745.104,745.890,746.858,748.111,749.624,751.349,753.157,754.906,756.404,757.414,757.753,757.224,755.732,753.251,749.791,745.507,740.583,735.323,730.020,725.013,720.569,716.992,714.447,713.054,712.814,713.659,715.421,717.869,720.690,723.654,726.457,728.877,730.726,731.938,732.480,732.416,731.911,731.132,730.270,729.556,729.128,729.134,729.711,730.800,732.405,734.388,736.643,739.006,741.297,743.416,745.219,746.730,747.911,748.813,749.549,750.239,751.005,751.955,753.155,754.616,756.362,758.238,760.088,761.732,762.966,763.566,763.333,762.158,759.967,756.761,752.665,747.902,742.678,737.337,732.164,727.511,723.658,720.803,719.116,718.598,719.215,720.811,723.169,726.012,729.069,732.026,734.642,736.742,738.195,738.943,739.077,738.680,737.943,737.049,736.228,735.659,735.523,735.879,736.776,738.210,740.068,742.208,744.540,746.846,749.013,750.904,752.500,753.753,754.742,755.524,756.225,756.981,757.897,759.063</history>
This time series records the sales of a global chain store. The data was recorded from 2025-10-08 to 2026-11-03, and the recording frequency is day (D). The owners implemented a rapid exanpansion strategy and opened two new stores. After each new store opening, the sales volumne is expected to increase. Furthermore, on the opening day, due to attractive promotion, the sales volumes were sighnificantly higher, but this event is not expected to happen again in the future.
Forecast the total sales in the next 120 days of this global chain store, from 2026-11-04 to 2027-03-03.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template0/item2
|
GIFT synthesize
|
anomaly
|
D
|
4046.000,4136.000,4306.000,4529.000,4752.000,4910.000,4945.000,4833.000,4591.000,4271.000,3951.000,3701.000,3572.000,3568.000,3664.000,3807.000,3938.000,4021.000,4044.000,4034.000,4035.000,4093.000,4230.000,4437.000,4671.000,4866.000,4960.000,4913.000,4721.000,4426.000,4096.000,3810.000,3627.000,3575.000,3639.000,3771.000,3916.000,4021.000,4068.000,4066.000,4055.000,4083.000,4187.000,4369.000,4600.000,4823.000,4968.000,4983.000,4849.000,4404.000,4080.000,5093.000,4641.000,4280.000,2500.000,4665.000,4788.000,4114.000,4410.000,5105.000,4878.000,4055.000,4773.000,4848.000,5107.000,5917.000,5801.000,5843.000,6067.000,3715.000,4020.000,3406.000,4884.000,4572.000,3671.000,3751.000,3890.000,4031.000,4129.000,4168.000,4165.000,4160.000,4203.000,4322.000,4517.000,4752.000,4966.000,5093.000,5086.000,4931.000,4662.000,4338.000,4038.000,3827.000,3741.000,3778.000,3896.000,4043.000,4163.000,4229.000,4243.000,4238.000,4260.000,4348.000,4515.000,4740.000,4970.000,4837.000,4925.000,4901.000,4509.000,4204.000,3908.000,3829.000,3397.000,3350.000,3759.000,4582.000,4465.000,4513.000,3856.000,4919.000,3761.000,4404.000,4541.000,4747.000,4982.000,5183.000,5289.000,5257.000,5084.000,4804.000,4483.000,4195.000,4002.000,3935.000,3984.000,4108.000,4251.000,4365.000,4427.000,4443.000,4447.000,4486.000,4594.000,4776.000,5006.000,5231.000,5383.000,5412.000,5296.000,5055.000,4741.000,4430.000,4191.000,4069.000
|
2025-10-08 00:00:00
|
2026-03-12 00:00:00
|
4073.000,4171.000,4313.000,4446.000,4532.000,4566.000,4574.000,4596.000,4674.000,4828.000,5045.000,5282.000,5473.000,5559.000,5505.000,5311.000,5018.000,4695.000,4418.000,4242.000,4195.000,4260.000,4394.000,4538.000,4647.000,4704.000,4718.000,4729.000,4780.000,4903.000,5100.000,5338.000,5560.000,5699.000,5708.000,5569.000,5308.000,4986.000,4679.000,4456.000,4354.000,4378.000,4492.000,4642.000,4772.000,4852.000,4880.000,4887.000,4915.000,5006.000,5176.000,5405.000,5644.000,5830.000,5900.000,5822.000,5606.000,5300.000,4975.000,4707.000,4553.000,4529.000,4614.000,4760.000,4907.000,5011.000,5059.000,5069.000,5079.000,5140.000,5277.000,5487.000,5733.000,5952.000,6079.000,6066.000,5904.000,5628.000,5299.000,4999.000,4794.000,4718.000,4765.000,4895.000,5050.000,5178.000,5249.000,5270.000,5273.000,5306.000,5409.000,5592.000,5831.000,6070.000,6245.000,6296.000,6197.000,5962.000,5647.000,5328.000
|
2026-03-13
|
2026-06-20
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the future traffic of this attraction for the next 20 days period, from 2025-08-25 to 2025-09-13.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-03-12 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, the records from the periods of 2025-01-15 to 2025-02-17 and 2025-07-27 to 2025-08-14 were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
|
<history>4046.000,4136.000,4306.000,4529.000,4752.000,4910.000,4945.000,4833.000,4591.000,4271.000,3951.000,3701.000,3572.000,3568.000,3664.000,3807.000,3938.000,4021.000,4044.000,4034.000,4035.000,4093.000,4230.000,4437.000,4671.000,4866.000,4960.000,4913.000,4721.000,4426.000,4096.000,3810.000,3627.000,3575.000,3639.000,3771.000,3916.000,4021.000,4068.000,4066.000,4055.000,4083.000,4187.000,4369.000,4600.000,4823.000,4968.000,4983.000,4849.000,4404.000,4080.000,5093.000,4641.000,4280.000,2500.000,4665.000,4788.000,4114.000,4410.000,5105.000,4878.000,4055.000,4773.000,4848.000,5107.000,5917.000,5801.000,5843.000,6067.000,3715.000,4020.000,3406.000,4884.000,4572.000,3671.000,3751.000,3890.000,4031.000,4129.000,4168.000,4165.000,4160.000,4203.000,4322.000,4517.000,4752.000,4966.000,5093.000,5086.000,4931.000,4662.000,4338.000,4038.000,3827.000,3741.000,3778.000,3896.000,4043.000,4163.000,4229.000,4243.000,4238.000,4260.000,4348.000,4515.000,4740.000,4970.000,4837.000,4925.000,4901.000,4509.000,4204.000,3908.000,3829.000,3397.000,3350.000,3759.000,4582.000,4465.000,4513.000,3856.000,4919.000,3761.000,4404.000,4541.000,4747.000,4982.000,5183.000,5289.000,5257.000,5084.000,4804.000,4483.000,4195.000,4002.000,3935.000,3984.000,4108.000,4251.000,4365.000,4427.000,4443.000,4447.000,4486.000,4594.000,4776.000,5006.000,5231.000,5383.000,5412.000,5296.000,5055.000,4741.000,4430.000,4191.000,4069.000</history>
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-03-12 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, the records from the periods of 2025-01-15 to 2025-02-17 and 2025-07-27 to 2025-08-14 were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
Predict the future traffic of this attraction for the next 100 days period, from 2026-03-13 to 2026-06-20.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template1/item2
|
GIFT synthesize
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anomaly
|
D
|
6010.000,6078.000,6076.000,5993.000,5858.000,5719.000,5650.000,5713.000,5947.000,6359.000,6891.000,7460.000,7937.000,8199.000,8145.000,7726.000,6956.000,5904.000,4708.000,3515.000,2480.000,1719.000,1294.000,1200.000,1381.000,1744.000,2167.000,2560.000,2856.000,3030.000,3103.000,3127.000,3172.000,3288.000,3516.000,3853.000,4277.000,4740.000,5192.000,5588.000,5913.000,6168.000,6384.000,5370.000,4481.000,7949.000,10426.000,9795.000,7419.000,5617.000,10934.000,6582.000,9651.000,10332.000,7161.000,9963.000,7887.000,6430.000,5556.000,8149.000,8377.000,8372.000,8283.000,8142.000,7994.000,7920.000,7977.000,8217.000,8629.000,9171.000,9742.000,10224.000,10484.000,10424.000,9997.000,9212.000,8150.000,6946.000,5753.000,4728.000,3980.000,3570.000,3496.000,3695.000,4067.000,4499.000,4886.000,5167.000,5331.000,5392.000,5408.000,5453.000,5580.000,5817.000,6173.000,6608.000,7073.000,7518.000,7906.000,8207.000,8445.000,8637.000,8829.000,9054.000,9332.000,9650.000,9990.000,10306.000,10546.000,10684.000,10710.000,10639.000,10506.000,10376.000,10288.000,10270.000,10333.000,10446.000,10563.000,10650.000,10654.000,10577.000,10441.000,10296.000,10219.000,10275.000,10505.000,10911.000,11445.000,12013.000,12484.000,12739.000,12673.000,12238.000,11449.000,10390.000,9190.000,8013.000,7002.000,6271.000,5881.000,5824.000,6034.000,6404.000,6828.000,7202.000,7470.000,7614.000,7666.000,7683.000,7732.000,7867.000,8123.000,8490.000,8937.000,9412.000,9853.000,10227.000,10518.000,10732.000,10908.000,11091.000,11316.000,11595.000,11925.000,14121.000,11780.000,13645.000,14311.000,11111.000,13146.000,12633.000,11197.000,11628.000,13102.000,10999.000,12725.000,14346.000,13718.000,12220.000,12968.000,13694.000,14088.000,11853.000,11754.000,12257.000,11809.000,12868.000,14507.000,14012.000,16847.000,13807.000,14502.000,13707.000,12640.000,11437.000,10261.000,9256.000,8538.000,8163.000,8118.000,8338.000,8717.000,9144.000,9520.000,9784.000
|
2025-10-08 00:00:00
|
2026-05-01 00:00:00
|
9924.000,9971.000,9980.000,10024.000,10155.000,10408.000,10769.000,11216.000,11688.000,12136.000,12513.000,12810.000,13039.000,13227.000,13417.000,13640.000,13919.000,14239.000,14571.000,14877.000,15102.000,15225.000,15236.000,15158.000,15030.000,14904.000,14830.000,14833.000,14903.000,15027.000,15152.000,15227.000,15222.000,15132.000,14980.000,14829.000,14752.000,14816.000,15060.000,15486.000,16038.000,16611.000,17084.000,17329.000,17246.000,16785.000,15976.000,14897.000,13688.000,12506.000
|
2026-05-02
|
2026-06-20
|
,
| 50
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the future traffic of this attraction for the next 20 days period, from 2025-08-25 to 2025-09-13.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-05-01 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, the records from the periods of 2025-01-15 to 2025-02-17 and 2025-07-27 to 2025-08-14 were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
|
<history>6010.000,6078.000,6076.000,5993.000,5858.000,5719.000,5650.000,5713.000,5947.000,6359.000,6891.000,7460.000,7937.000,8199.000,8145.000,7726.000,6956.000,5904.000,4708.000,3515.000,2480.000,1719.000,1294.000,1200.000,1381.000,1744.000,2167.000,2560.000,2856.000,3030.000,3103.000,3127.000,3172.000,3288.000,3516.000,3853.000,4277.000,4740.000,5192.000,5588.000,5913.000,6168.000,6384.000,5370.000,4481.000,7949.000,10426.000,9795.000,7419.000,5617.000,10934.000,6582.000,9651.000,10332.000,7161.000,9963.000,7887.000,6430.000,5556.000,8149.000,8377.000,8372.000,8283.000,8142.000,7994.000,7920.000,7977.000,8217.000,8629.000,9171.000,9742.000,10224.000,10484.000,10424.000,9997.000,9212.000,8150.000,6946.000,5753.000,4728.000,3980.000,3570.000,3496.000,3695.000,4067.000,4499.000,4886.000,5167.000,5331.000,5392.000,5408.000,5453.000,5580.000,5817.000,6173.000,6608.000,7073.000,7518.000,7906.000,8207.000,8445.000,8637.000,8829.000,9054.000,9332.000,9650.000,9990.000,10306.000,10546.000,10684.000,10710.000,10639.000,10506.000,10376.000,10288.000,10270.000,10333.000,10446.000,10563.000,10650.000,10654.000,10577.000,10441.000,10296.000,10219.000,10275.000,10505.000,10911.000,11445.000,12013.000,12484.000,12739.000,12673.000,12238.000,11449.000,10390.000,9190.000,8013.000,7002.000,6271.000,5881.000,5824.000,6034.000,6404.000,6828.000,7202.000,7470.000,7614.000,7666.000,7683.000,7732.000,7867.000,8123.000,8490.000,8937.000,9412.000,9853.000,10227.000,10518.000,10732.000,10908.000,11091.000,11316.000,11595.000,11925.000,14121.000,11780.000,13645.000,14311.000,11111.000,13146.000,12633.000,11197.000,11628.000,13102.000,10999.000,12725.000,14346.000,13718.000,12220.000,12968.000,13694.000,14088.000,11853.000,11754.000,12257.000,11809.000,12868.000,14507.000,14012.000,16847.000,13807.000,14502.000,13707.000,12640.000,11437.000,10261.000,9256.000,8538.000,8163.000,8118.000,8338.000,8717.000,9144.000,9520.000,9784.000</history>
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-05-01 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, the records from the periods of 2025-01-15 to 2025-02-17 and 2025-07-27 to 2025-08-14 were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
Predict the future traffic of this attraction for the next 50 days period, from 2026-05-02 to 2026-06-20. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template2/item2
|
GIFT synthesize
|
anomaly
|
D
|
58472.000,58748.000,59079.000,59273.000,120520.000,120748.000,121016.000,121274.000,121527.000,121754.000,122026.000,122334.000,122538.000,122868.000,123095.000,62376.000,62740.000,62966.000,63209.000,63503.000,63771.000,64018.000,64275.000,64537.000,64751.000,65058.000,65303.000,65571.000,65834.000,66113.000,66371.000,66674.000,66864.000,67191.000,67413.000,67669.000,67933.000,68239.000,68478.000,68733.000,69004.000,130169.000,130421.000,130714.000,130996.000,131201.000,131445.000,131722.000,131948.000,132264.000,132550.000,132747.000,72138.000,72378.000,72598.000,72936.000,73130.000,73443.000,73749.000,74043.000,74228.000,74523.000,74804.000,75042.000,75317.000,75507.000,75835.000,76059.000,76359.000,76643.000,76793.000,77088.000,77407.000,77663.000,77938.000,78184.000,78388.000,78692.000,139920.000,140135.000,140391.000,140702.000,140883.000,141153.000,141446.000,141675.000,141954.000,142229.000,142484.000,81847.000,82109.000,82326.000,82648.000,82868.000,83153.000,83411.000,83680.000,83935.000,84247.000,167024.000,152911.000,25694.000,89188.000,171316.000,41397.000,5000.000,21915.000,162450.000,177143.000,148675.000,140332.000,137321.000,173728.000,14517.000,106288.000,18586.000,142676.000,97701.000,61266.000,150589.000,150853.000,151185.000,151394.000,151646.000,151879.000,152161.000,152480.000,91759.000,92053.000,92267.000,92586.000,92877.000,93120.000,93342.000,93683.000,93872.000,94143.000,94347.000,94704.000,94980.000,95179.000,95458.000,95705.000,95960.000,96283.000,96542.000,96879.000,97033.000,97294.000,97644.000,97829.000,98151.000,98343.000,159534.000,159800.000,160027.000,160308.000,160572.000,160817.000,161073.000,161329.000,161639.000,161867.000,162212.000,101538.000,101779.000,102063.000,102316.000,102537.000,102827.000,103057.000,103366.000,103541.000,103912.000,104154.000,104333.000,104616.000,104916.000,105168.000,105427.000,105699.000,105941.000,106224.000,106468.000,106687.000,106986.000,104412.000,93472.000,87691.000,121202.000,170041.000,181643.000,189725.000,154026.000,175999.000,146031.000,183661.000,174059.000,151117.000,163253.000,164181.000,135054.000,89896.000,93738.000,134588.000,120521.000,113498.000,134160.000,128389.000,120994.000,113671.000,130347.000,129323.000,126246.000,91708.000,129598.000,112964.000,108947.000,95609.000,132754.000,133905.000,93187.000,136107.000,112507.000,120297.000,117260.000,128406.000,190204.000,170672.000,184819.000,182015.000,188620.000,196943.000,166468.000,173414.000,181084.000,181301.000,181572.000,120905.000,121159.000,121420.000,121666.000,121904.000,122228.000,122486.000,122739.000,122962.000,123257.000,123466.000,123808.000,124105.000,124282.000,124576.000,124816.000,125058.000,125351.000,125621.000,125931.000,126125.000,126433.000,126665.000,126954.000,127221.000,127459.000
|
2025-10-08 00:00:00
|
2026-06-28 00:00:00
|
188629.000,188918.000,189171.000,189440.000,189687.000,189897.000,190165.000,190478.000,190743.000,190957.000,191299.000,130593.000,130922.000,131127.000,131334.000,131681.000,131907.000,132148.000,132435.000,132720.000,132944.000,133219.000,133465.000,133726.000,134028.000,134309.000,134530.000,134820.000,135112.000,135343.000,135569.000,135840.000,136111.000,136338.000,136618.000,136918.000,137138.000,137449.000,198582.000,198833.000,199155.000,199383.000,199591.000,199919.000,200172.000,200420.000,200694.000,200968.000,201204.000,140538.000,140782.000,141127.000,141343.000,141610.000,141934.000,142142.000,142489.000,142707.000,142916.000,143117.000,143459.000,143716.000,143947.000,144245.000,144496.000,144772.000,145043.000,145278.000,145521.000,145809.000,146014.000,146299.000,146573.000,146842.000,147158.000,208287.000,208590.000,208837.000,209143.000,209374.000,209613.000,209864.000,210076.000,210325.000,210636.000,210950.000,150260.000,150525.000,150784.000,151057.000,151263.000,151594.000,151817.000,152141.000,152401.000,152609.000,152905.000,153122.000,153380.000,153702.000,153902.000,154199.000,154502.000,154715.000,154918.000,155272.000,155476.000,155718.000,156059.000,156274.000,156541.000,156789.000,218003.000,218286.000,218492.000,218784.000,219036.000,219320.000,219590.000,219875.000
|
2026-06-29
|
2026-10-26
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the future traffic of this attraction for the next 20 days period, from 2025-08-25 to 2025-09-13.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-06-28 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, the records from the periods of 2025-01-15 to 2025-02-17 and 2025-07-27 to 2025-08-14 were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
|
<history>58472.000,58748.000,59079.000,59273.000,120520.000,120748.000,121016.000,121274.000,121527.000,121754.000,122026.000,122334.000,122538.000,122868.000,123095.000,62376.000,62740.000,62966.000,63209.000,63503.000,63771.000,64018.000,64275.000,64537.000,64751.000,65058.000,65303.000,65571.000,65834.000,66113.000,66371.000,66674.000,66864.000,67191.000,67413.000,67669.000,67933.000,68239.000,68478.000,68733.000,69004.000,130169.000,130421.000,130714.000,130996.000,131201.000,131445.000,131722.000,131948.000,132264.000,132550.000,132747.000,72138.000,72378.000,72598.000,72936.000,73130.000,73443.000,73749.000,74043.000,74228.000,74523.000,74804.000,75042.000,75317.000,75507.000,75835.000,76059.000,76359.000,76643.000,76793.000,77088.000,77407.000,77663.000,77938.000,78184.000,78388.000,78692.000,139920.000,140135.000,140391.000,140702.000,140883.000,141153.000,141446.000,141675.000,141954.000,142229.000,142484.000,81847.000,82109.000,82326.000,82648.000,82868.000,83153.000,83411.000,83680.000,83935.000,84247.000,167024.000,152911.000,25694.000,89188.000,171316.000,41397.000,5000.000,21915.000,162450.000,177143.000,148675.000,140332.000,137321.000,173728.000,14517.000,106288.000,18586.000,142676.000,97701.000,61266.000,150589.000,150853.000,151185.000,151394.000,151646.000,151879.000,152161.000,152480.000,91759.000,92053.000,92267.000,92586.000,92877.000,93120.000,93342.000,93683.000,93872.000,94143.000,94347.000,94704.000,94980.000,95179.000,95458.000,95705.000,95960.000,96283.000,96542.000,96879.000,97033.000,97294.000,97644.000,97829.000,98151.000,98343.000,159534.000,159800.000,160027.000,160308.000,160572.000,160817.000,161073.000,161329.000,161639.000,161867.000,162212.000,101538.000,101779.000,102063.000,102316.000,102537.000,102827.000,103057.000,103366.000,103541.000,103912.000,104154.000,104333.000,104616.000,104916.000,105168.000,105427.000,105699.000,105941.000,106224.000,106468.000,106687.000,106986.000,104412.000,93472.000,87691.000,121202.000,170041.000,181643.000,189725.000,154026.000,175999.000,146031.000,183661.000,174059.000,151117.000,163253.000,164181.000,135054.000,89896.000,93738.000,134588.000,120521.000,113498.000,134160.000,128389.000,120994.000,113671.000,130347.000,129323.000,126246.000,91708.000,129598.000,112964.000,108947.000,95609.000,132754.000,133905.000,93187.000,136107.000,112507.000,120297.000,117260.000,128406.000,190204.000,170672.000,184819.000,182015.000,188620.000,196943.000,166468.000,173414.000,181084.000,181301.000,181572.000,120905.000,121159.000,121420.000,121666.000,121904.000,122228.000,122486.000,122739.000,122962.000,123257.000,123466.000,123808.000,124105.000,124282.000,124576.000,124816.000,125058.000,125351.000,125621.000,125931.000,126125.000,126433.000,126665.000,126954.000,127221.000,127459.000</history>
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-06-28 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, the records from the periods of 2025-01-15 to 2025-02-17 and 2025-07-27 to 2025-08-14 were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
Predict the future traffic of this attraction for the next 120 days period, from 2026-06-29 to 2026-10-26.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template3/item2
|
GIFT synthesize
|
anomaly
|
D
|
188.000,188.000,188.000,188.000,188.000,188.000,189.000,264.000,264.000,264.000,189.000,189.000,189.000,190.000,190.000,190.000,190.000,190.000,190.000,190.000,190.000,191.000,191.000,191.000,191.000,191.000,191.000,191.000,192.000,192.000,192.000,192.000,192.000,267.000,268.000,268.000,193.000,193.000,193.000,193.000,193.000,193.000,194.000,175.000,146.000,172.000,195.000,222.000,238.000,213.000,150.000,171.000,194.000,200.000,235.000,148.000,239.000,181.000,207.000,287.000,280.000,298.000,236.000,198.000,212.000,225.000,226.000,255.000,233.000,197.000,189.000,140.000,231.000,219.000,169.000,221.000,224.000,174.000,155.000,163.000,154.000,177.000,170.000,176.000,143.000,159.000,225.000,216.000,320.000,222.000,157.000,235.000,181.000,222.000,150.000,152.000,144.000,249.000,201.000,201.000,201.000,202.000,202.000,202.000,202.000,202.000,202.000,202.000,202.000,203.000,203.000,238.000,252.000,256.000,282.000,163.000,243.000,206.000,223.000,212.000,202.000,205.000,196.000,209.000,194.000,161.000,209.000,192.000,174.000,178.000,186.000,186.000,205.000,206.000,206.000,206.000,206.000,206.000,206.000,281.000,282.000,282.000,207.000,207.000,207.000,207.000,207.000,207.000,207.000,207.000,208.000,208.000,208.000,208.000,208.000,208.000,208.000,208.000,208.000,209.000,209.000,209.000,209.000,209.000,209.000,284.000,284.000,285.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,211.000,211.000,211.000,211.000,211.000,211.000,211.000,211.000,211.000,212.000,212.000,212.000,212.000,212.000,287.000,287.000,287.000,212.000,212.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,290.000,290.000,290.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,217.000
|
2025-10-08 00:00:00
|
2026-06-08 00:00:00
|
292.000,292.000,292.000,217.000,217.000,217.000,217.000,217.000,217.000,217.000,217.000,217.000,217.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,294.000,294.000,294.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,295.000,295.000,295.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,296.000,296.000,296.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,297.000,297.000,297.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,297.000,297.000,297.000,222.000,222.000,222.000,222.000
|
2026-06-09
|
2026-10-26
|
,
| 140
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the future traffic of this attraction for the next 20 days period, from 2025-08-25 to 2025-09-13.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-06-08 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, the records from the periods of 2025-01-15 to 2025-02-17 and 2025-07-27 to 2025-08-14 were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
|
<history>188.000,188.000,188.000,188.000,188.000,188.000,189.000,264.000,264.000,264.000,189.000,189.000,189.000,190.000,190.000,190.000,190.000,190.000,190.000,190.000,190.000,191.000,191.000,191.000,191.000,191.000,191.000,191.000,192.000,192.000,192.000,192.000,192.000,267.000,268.000,268.000,193.000,193.000,193.000,193.000,193.000,193.000,194.000,175.000,146.000,172.000,195.000,222.000,238.000,213.000,150.000,171.000,194.000,200.000,235.000,148.000,239.000,181.000,207.000,287.000,280.000,298.000,236.000,198.000,212.000,225.000,226.000,255.000,233.000,197.000,189.000,140.000,231.000,219.000,169.000,221.000,224.000,174.000,155.000,163.000,154.000,177.000,170.000,176.000,143.000,159.000,225.000,216.000,320.000,222.000,157.000,235.000,181.000,222.000,150.000,152.000,144.000,249.000,201.000,201.000,201.000,202.000,202.000,202.000,202.000,202.000,202.000,202.000,202.000,203.000,203.000,238.000,252.000,256.000,282.000,163.000,243.000,206.000,223.000,212.000,202.000,205.000,196.000,209.000,194.000,161.000,209.000,192.000,174.000,178.000,186.000,186.000,205.000,206.000,206.000,206.000,206.000,206.000,206.000,281.000,282.000,282.000,207.000,207.000,207.000,207.000,207.000,207.000,207.000,207.000,208.000,208.000,208.000,208.000,208.000,208.000,208.000,208.000,208.000,209.000,209.000,209.000,209.000,209.000,209.000,284.000,284.000,285.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,211.000,211.000,211.000,211.000,211.000,211.000,211.000,211.000,211.000,212.000,212.000,212.000,212.000,212.000,287.000,287.000,287.000,212.000,212.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,290.000,290.000,290.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,217.000</history>
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-06-08 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, the records from the periods of 2025-01-15 to 2025-02-17 and 2025-07-27 to 2025-08-14 were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
Predict the future traffic of this attraction for the next 140 days period, from 2026-06-09 to 2026-10-26.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template4/item2
|
GIFT synthesize
|
anomaly
|
D
|
1934.000,1901.000,1871.000,1845.000,1822.000,1801.000,1781.000,1759.000,1737.000,1713.000,1687.000,1660.000,1633.000,1606.000,1582.000,1559.000,1536.000,1514.000,1493.000,1470.000,1447.000,1428.000,1410.000,1400.000,1400.000,1411.000,1435.000,1472.000,1519.000,1574.000,1631.000,1684.000,1728.000,1759.000,1775.000,1777.000,1766.000,1749.000,1731.000,1720.000,1723.000,1741.000,1779.000,1833.000,1901.000,1976.000,2050.000,2115.000,2165.000,2196.000,2204.000,2193.000,2168.000,2131.000,2092.000,2056.000,2031.000,2017.000,2017.000,2030.000,2050.000,2076.000,2103.000,2127.000,2145.000,2159.000,2170.000,2179.000,2189.000,2205.000,2227.000,2257.000,2293.000,2334.000,2374.000,2410.000,2437.000,2454.000,2458.000,2448.000,2428.000,2399.000,2366.000,2331.000,2299.000,2273.000,2254.000,2242.000,2238.000,2240.000,2247.000,2257.000,2273.000,2292.000,2316.000,2344.000,2377.000,2414.000,2454.000,2496.000,2534.000,2569.000,2594.000,2611.000,2616.000,2608.000,2590.000,2563.000,2529.000,2494.000,2457.000,2423.000,2392.000,2364.000,2340.000,2317.000,2295.000,2272.000,2249.000,2222.000,2196.000,2168.000,2140.000,2113.000,2088.000,2064.000,2040.000,2016.000,1992.000,1967.000,1943.000,1920.000,1903.000,1893.000,1893.000,1905.000,1931.000,1970.000,2017.000,2073.000,2128.000,2179.000,2221.000,2249.000,2261.000,2260.000,2246.000,2226.000,2207.000,2196.000,2197.000,2217.000,2255.000,2311.000,2378.000,2452.000,2525.000,2587.000,2634.000,2660.000,2667.000,2653.000,2624.000,2587.000,2547.000,2512.000,2486.000,2473.000,2474.000,2487.000,2508.000,2535.000,2561.000,2584.000,2602.000,2616.000,2626.000,2635.000,2645.000,2661.000,2683.000,2713.000,2748.000,2786.000,2825.000,2859.000,2885.000,2899.000,2901.000,2889.000,2867.000,2836.000,2802.000,2767.000,2735.000,2708.000,2688.000,2676.000,2670.000,2670.000,2675.000,2685.000,2698.000,2716.000,2739.000,2765.000,2797.000,2832.000,2871.000,2910.000,2946.000,2978.000,3001.000,3014.000,3015.000,3005.000,2984.000,2954.000,2918.000,2881.000,2844.000,2808.000,2777.000,2749.000,2725.000,2704.000,2682.000,2659.000,2636.000,2611.000,2585.000,2557.000,2528.000,2500.000,2474.000,2447.000,2421.000,2394.000,2367.000,2340.000,2315.000,2291.000,2274.000,2264.000,2265.000,2279.000,2306.000,2346.000,2397.000,2452.000,2507.000,2556.000,2594.000,2619.000,2627.000,2621.000,2603.000,2581.000,2559.000,2546.000,2547.000,2567.000,2605.000,2660.000,2728.000,2801.000,2871.000,2931.000,2975.000,2999.000,3003.000,2986.000,2955.000,3103.000,2611.000,2538.000,2807.000,3131.000,2802.000,2399.000,2954.000,3030.000,2447.000,3133.000,3360.000,2947.000,3254.000,2970.000,3270.000,2695.000,3354.000,2897.000,3407.000,3385.000,3031.000,2766.000,3461.000,2836.000,2922.000,3261.000,2786.000,3115.000,2894.000,3475.000,3153.000,3024.000,2900.000,3071.000,2601.000,3326.000,2971.000,2979.000,2992.000,3009.000,3030.000,3056.000,3086.000,3122.000,3160.000,3198.000,3233.000,3263.000,3284.000,3294.000,3293.000,3280.000,3256.000,3224.000,3186.000,3148.000,3109.000,3073.000,3043.000,3015.000,2990.000,2969.000,2947.000,2925.000,2900.000,2874.000,2846.000,2816.000,2787.000,2757.000,2728.000,2700.000,2673.000,2645.000,2616.000,2590.000,2563.000,2539.000,2521.000,2512.000,2513.000,2527.000,2555.000,2595.000,2644.000,2698.000,2752.000,2799.000,2836.000,2858.000,2862.000,2854.000,2936.000,2536.000,2555.000,2124.000,3252.000,2494.000,2360.000,2718.000,2183.000,3182.000,2940.000,2746.000,3031.000,3743.000,3442.000,3892.000,3150.000,2905.000,2674.000,3050.000,3025.000,3012.000,3014.000,3025.000,3046.000,3070.000,3093.000,3112.000,3127.000,3137.000,3144.000,3150.000,3159.000,3173.000,3195.000,3223.000,3257.000,3295.000,3329.000,3359.000,3380.000,3387.000,3383.000,3366.000,3338.000,3304.000
|
2025-10-09 00:00:00
|
2026-11-24 00:00:00
|
3266.000,3230.000,3197.000,3170.000,3151.000,3138.000,3132.000,3132.000,3136.000,3145.000,3156.000,3173.000,3194.000,3220.000,3251.000,3287.000,3324.000,3361.000,3397.000,3426.000,3446.000,3455.000,3451.000,3436.000,3410.000,3377.000,3339.000,3298.000,3258.000,3222.000,3189.000,3161.000,3135.000,3111.000,3087.000,3061.000,3034.000,3005.000,2973.000,2942.000,2910.000,2880.000,2850.000,2821.000,2794.000,2767.000,2739.000,2712.000,2685.000,2662.000,2643.000,2633.000,2634.000,2647.000,2673.000,2711.000,2758.000,2810.000,2861.000,2907.000,2940.000,2961.000,2965.000,2955.000,2937.000,2913.000,2893.000,2883.000,2887.000,2909.000,2951.000,3008.000,3074.000,3146.000,3212.000,3266.000,3302.000,3319.000,3314.000,3291.000,3255.000,3211.000,3168.000,3133.000,3107.000,3096.000,3097.000,3109.000,3128.000,3150.000,3171.000,3188.000,3200.000,3207.000,3211.000,3217.000,3224.000,3239.000,3261.000,3290.000
|
2026-11-25
|
2027-03-04
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the future traffic of this attraction for the next 20 days period, from 2025-08-25 to 2025-09-13.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-09 00:00:00 to 2026-11-24 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, the records from the periods of 2025-01-15 to 2025-02-17 and 2025-07-27 to 2025-08-14 were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
|
<history>1934.000,1901.000,1871.000,1845.000,1822.000,1801.000,1781.000,1759.000,1737.000,1713.000,1687.000,1660.000,1633.000,1606.000,1582.000,1559.000,1536.000,1514.000,1493.000,1470.000,1447.000,1428.000,1410.000,1400.000,1400.000,1411.000,1435.000,1472.000,1519.000,1574.000,1631.000,1684.000,1728.000,1759.000,1775.000,1777.000,1766.000,1749.000,1731.000,1720.000,1723.000,1741.000,1779.000,1833.000,1901.000,1976.000,2050.000,2115.000,2165.000,2196.000,2204.000,2193.000,2168.000,2131.000,2092.000,2056.000,2031.000,2017.000,2017.000,2030.000,2050.000,2076.000,2103.000,2127.000,2145.000,2159.000,2170.000,2179.000,2189.000,2205.000,2227.000,2257.000,2293.000,2334.000,2374.000,2410.000,2437.000,2454.000,2458.000,2448.000,2428.000,2399.000,2366.000,2331.000,2299.000,2273.000,2254.000,2242.000,2238.000,2240.000,2247.000,2257.000,2273.000,2292.000,2316.000,2344.000,2377.000,2414.000,2454.000,2496.000,2534.000,2569.000,2594.000,2611.000,2616.000,2608.000,2590.000,2563.000,2529.000,2494.000,2457.000,2423.000,2392.000,2364.000,2340.000,2317.000,2295.000,2272.000,2249.000,2222.000,2196.000,2168.000,2140.000,2113.000,2088.000,2064.000,2040.000,2016.000,1992.000,1967.000,1943.000,1920.000,1903.000,1893.000,1893.000,1905.000,1931.000,1970.000,2017.000,2073.000,2128.000,2179.000,2221.000,2249.000,2261.000,2260.000,2246.000,2226.000,2207.000,2196.000,2197.000,2217.000,2255.000,2311.000,2378.000,2452.000,2525.000,2587.000,2634.000,2660.000,2667.000,2653.000,2624.000,2587.000,2547.000,2512.000,2486.000,2473.000,2474.000,2487.000,2508.000,2535.000,2561.000,2584.000,2602.000,2616.000,2626.000,2635.000,2645.000,2661.000,2683.000,2713.000,2748.000,2786.000,2825.000,2859.000,2885.000,2899.000,2901.000,2889.000,2867.000,2836.000,2802.000,2767.000,2735.000,2708.000,2688.000,2676.000,2670.000,2670.000,2675.000,2685.000,2698.000,2716.000,2739.000,2765.000,2797.000,2832.000,2871.000,2910.000,2946.000,2978.000,3001.000,3014.000,3015.000,3005.000,2984.000,2954.000,2918.000,2881.000,2844.000,2808.000,2777.000,2749.000,2725.000,2704.000,2682.000,2659.000,2636.000,2611.000,2585.000,2557.000,2528.000,2500.000,2474.000,2447.000,2421.000,2394.000,2367.000,2340.000,2315.000,2291.000,2274.000,2264.000,2265.000,2279.000,2306.000,2346.000,2397.000,2452.000,2507.000,2556.000,2594.000,2619.000,2627.000,2621.000,2603.000,2581.000,2559.000,2546.000,2547.000,2567.000,2605.000,2660.000,2728.000,2801.000,2871.000,2931.000,2975.000,2999.000,3003.000,2986.000,2955.000,3103.000,2611.000,2538.000,2807.000,3131.000,2802.000,2399.000,2954.000,3030.000,2447.000,3133.000,3360.000,2947.000,3254.000,2970.000,3270.000,2695.000,3354.000,2897.000,3407.000,3385.000,3031.000,2766.000,3461.000,2836.000,2922.000,3261.000,2786.000,3115.000,2894.000,3475.000,3153.000,3024.000,2900.000,3071.000,2601.000,3326.000,2971.000,2979.000,2992.000,3009.000,3030.000,3056.000,3086.000,3122.000,3160.000,3198.000,3233.000,3263.000,3284.000,3294.000,3293.000,3280.000,3256.000,3224.000,3186.000,3148.000,3109.000,3073.000,3043.000,3015.000,2990.000,2969.000,2947.000,2925.000,2900.000,2874.000,2846.000,2816.000,2787.000,2757.000,2728.000,2700.000,2673.000,2645.000,2616.000,2590.000,2563.000,2539.000,2521.000,2512.000,2513.000,2527.000,2555.000,2595.000,2644.000,2698.000,2752.000,2799.000,2836.000,2858.000,2862.000,2854.000,2936.000,2536.000,2555.000,2124.000,3252.000,2494.000,2360.000,2718.000,2183.000,3182.000,2940.000,2746.000,3031.000,3743.000,3442.000,3892.000,3150.000,2905.000,2674.000,3050.000,3025.000,3012.000,3014.000,3025.000,3046.000,3070.000,3093.000,3112.000,3127.000,3137.000,3144.000,3150.000,3159.000,3173.000,3195.000,3223.000,3257.000,3295.000,3329.000,3359.000,3380.000,3387.000,3383.000,3366.000,3338.000,3304.000</history>
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-09 00:00:00 to 2026-11-24 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, the records from the periods of 2025-01-15 to 2025-02-17 and 2025-07-27 to 2025-08-14 were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
Predict the future traffic of this attraction for the next 100 days period, from 2026-11-25 to 2027-03-04.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template0/item2
|
GIFT synthesize
|
anomaly
|
D
|
4046.000,4136.000,4306.000,4529.000,4752.000,4910.000,4945.000,4833.000,4591.000,4271.000,3951.000,3701.000,3572.000,3568.000,3664.000,3807.000,3938.000,4021.000,4044.000,4034.000,4035.000,4093.000,4230.000,4437.000,4671.000,4866.000,4960.000,4913.000,4721.000,4426.000,4096.000,3810.000,3627.000,3575.000,3639.000,3771.000,3916.000,4021.000,4068.000,4066.000,4055.000,4083.000,4187.000,4369.000,4600.000,4823.000,4968.000,4983.000,4849.000,4404.000,4080.000,5093.000,4641.000,4280.000,2500.000,4665.000,4788.000,4114.000,4410.000,5105.000,4878.000,4055.000,4773.000,4848.000,5107.000,5917.000,5801.000,5843.000,6067.000,3715.000,4020.000,3406.000,4884.000,4572.000,3671.000,3751.000,3890.000,4031.000,4129.000,4168.000,4165.000,4160.000,4203.000,4322.000,4517.000,4752.000,4966.000,5093.000,5086.000,4931.000,4662.000,4338.000,4038.000,3827.000,3741.000,3778.000,3896.000,4043.000,4163.000,4229.000,4243.000,4238.000,4260.000,4348.000,4515.000,4740.000,4970.000,4837.000,4925.000,4901.000,4509.000,4204.000,3908.000,3829.000,3397.000,3350.000,3759.000,4582.000,4465.000,4513.000,3856.000,4919.000,3761.000,4404.000,4541.000,4747.000,4982.000,5183.000,5289.000,5257.000,5084.000,4804.000,4483.000,4195.000,4002.000,3935.000,3984.000,4108.000,4251.000,4365.000,4427.000,4443.000,4447.000,4486.000,4594.000,4776.000,5006.000,5231.000,5383.000,5412.000,5296.000,5055.000,4741.000,4430.000,4191.000,4069.000
|
2025-10-08 00:00:00
|
2026-03-12 00:00:00
|
4073.000,4171.000,4313.000,4446.000,4532.000,4566.000,4574.000,4596.000,4674.000,4828.000,5045.000,5282.000,5473.000,5559.000,5505.000,5311.000,5018.000,4695.000,4418.000,4242.000,4195.000,4260.000,4394.000,4538.000,4647.000,4704.000,4718.000,4729.000,4780.000,4903.000,5100.000,5338.000,5560.000,5699.000,5708.000,5569.000,5308.000,4986.000,4679.000,4456.000,4354.000,4378.000,4492.000,4642.000,4772.000,4852.000,4880.000,4887.000,4915.000,5006.000,5176.000,5405.000,5644.000,5830.000,5900.000,5822.000,5606.000,5300.000,4975.000,4707.000,4553.000,4529.000,4614.000,4760.000,4907.000,5011.000,5059.000,5069.000,5079.000,5140.000,5277.000,5487.000,5733.000,5952.000,6079.000,6066.000,5904.000,5628.000,5299.000,4999.000,4794.000,4718.000,4765.000,4895.000,5050.000,5178.000,5249.000,5270.000,5273.000,5306.000,5409.000,5592.000,5831.000,6070.000,6245.000,6296.000,6197.000,5962.000,5647.000,5328.000
|
2026-03-13 00:00:00
|
2026-06-20 00:00:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the future traffic of this attraction for the next 100 days period, from 2026-03-13 00:00:00 to 2026-06-20 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-03-12 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, there were periods where the readings were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
|
<history>4046.000,4136.000,4306.000,4529.000,4752.000,4910.000,4945.000,4833.000,4591.000,4271.000,3951.000,3701.000,3572.000,3568.000,3664.000,3807.000,3938.000,4021.000,4044.000,4034.000,4035.000,4093.000,4230.000,4437.000,4671.000,4866.000,4960.000,4913.000,4721.000,4426.000,4096.000,3810.000,3627.000,3575.000,3639.000,3771.000,3916.000,4021.000,4068.000,4066.000,4055.000,4083.000,4187.000,4369.000,4600.000,4823.000,4968.000,4983.000,4849.000,4404.000,4080.000,5093.000,4641.000,4280.000,2500.000,4665.000,4788.000,4114.000,4410.000,5105.000,4878.000,4055.000,4773.000,4848.000,5107.000,5917.000,5801.000,5843.000,6067.000,3715.000,4020.000,3406.000,4884.000,4572.000,3671.000,3751.000,3890.000,4031.000,4129.000,4168.000,4165.000,4160.000,4203.000,4322.000,4517.000,4752.000,4966.000,5093.000,5086.000,4931.000,4662.000,4338.000,4038.000,3827.000,3741.000,3778.000,3896.000,4043.000,4163.000,4229.000,4243.000,4238.000,4260.000,4348.000,4515.000,4740.000,4970.000,4837.000,4925.000,4901.000,4509.000,4204.000,3908.000,3829.000,3397.000,3350.000,3759.000,4582.000,4465.000,4513.000,3856.000,4919.000,3761.000,4404.000,4541.000,4747.000,4982.000,5183.000,5289.000,5257.000,5084.000,4804.000,4483.000,4195.000,4002.000,3935.000,3984.000,4108.000,4251.000,4365.000,4427.000,4443.000,4447.000,4486.000,4594.000,4776.000,5006.000,5231.000,5383.000,5412.000,5296.000,5055.000,4741.000,4430.000,4191.000,4069.000</history>
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-03-12 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, there were periods where the readings were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
Predict the future traffic of this attraction for the next 100 days period, from 2026-03-13 00:00:00 to 2026-06-20 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template1/item2
|
GIFT synthesize
|
anomaly
|
D
|
6010.000,6078.000,6076.000,5993.000,5858.000,5719.000,5650.000,5713.000,5947.000,6359.000,6891.000,7460.000,7937.000,8199.000,8145.000,7726.000,6956.000,5904.000,4708.000,3515.000,2480.000,1719.000,1294.000,1200.000,1381.000,1744.000,2167.000,2560.000,2856.000,3030.000,3103.000,3127.000,3172.000,3288.000,3516.000,3853.000,4277.000,4740.000,5192.000,5588.000,5913.000,6168.000,6384.000,5370.000,4481.000,7949.000,10426.000,9795.000,7419.000,5617.000,10934.000,6582.000,9651.000,10332.000,7161.000,9963.000,7887.000,6430.000,5556.000,8149.000,8377.000,8372.000,8283.000,8142.000,7994.000,7920.000,7977.000,8217.000,8629.000,9171.000,9742.000,10224.000,10484.000,10424.000,9997.000,9212.000,8150.000,6946.000,5753.000,4728.000,3980.000,3570.000,3496.000,3695.000,4067.000,4499.000,4886.000,5167.000,5331.000,5392.000,5408.000,5453.000,5580.000,5817.000,6173.000,6608.000,7073.000,7518.000,7906.000,8207.000,8445.000,8637.000,8829.000,9054.000,9332.000,9650.000,9990.000,10306.000,10546.000,10684.000,10710.000,10639.000,10506.000,10376.000,10288.000,10270.000,10333.000,10446.000,10563.000,10650.000,10654.000,10577.000,10441.000,10296.000,10219.000,10275.000,10505.000,10911.000,11445.000,12013.000,12484.000,12739.000,12673.000,12238.000,11449.000,10390.000,9190.000,8013.000,7002.000,6271.000,5881.000,5824.000,6034.000,6404.000,6828.000,7202.000,7470.000,7614.000,7666.000,7683.000,7732.000,7867.000,8123.000,8490.000,8937.000,9412.000,9853.000,10227.000,10518.000,10732.000,10908.000,11091.000,11316.000,11595.000,11925.000,14121.000,11780.000,13645.000,14311.000,11111.000,13146.000,12633.000,11197.000,11628.000,13102.000,10999.000,12725.000,14346.000,13718.000,12220.000,12968.000,13694.000,14088.000,11853.000,11754.000,12257.000,11809.000,12868.000,14507.000,14012.000,16847.000,13807.000,14502.000,13707.000,12640.000,11437.000,10261.000,9256.000,8538.000,8163.000,8118.000,8338.000,8717.000,9144.000,9520.000,9784.000
|
2025-10-08 00:00:00
|
2026-05-01 00:00:00
|
9924.000,9971.000,9980.000,10024.000,10155.000,10408.000,10769.000,11216.000,11688.000,12136.000,12513.000,12810.000,13039.000,13227.000,13417.000,13640.000,13919.000,14239.000,14571.000,14877.000,15102.000,15225.000,15236.000,15158.000,15030.000,14904.000,14830.000,14833.000,14903.000,15027.000,15152.000,15227.000,15222.000,15132.000,14980.000,14829.000,14752.000,14816.000,15060.000,15486.000,16038.000,16611.000,17084.000,17329.000,17246.000,16785.000,15976.000,14897.000,13688.000,12506.000
|
2026-05-02 00:00:00
|
2026-06-20 00:00:00
|
,
| 50
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the future traffic of this attraction for the next 50 days period, from 2026-05-02 00:00:00 to 2026-06-20 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-05-01 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, there were periods where the readings were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
|
<history>6010.000,6078.000,6076.000,5993.000,5858.000,5719.000,5650.000,5713.000,5947.000,6359.000,6891.000,7460.000,7937.000,8199.000,8145.000,7726.000,6956.000,5904.000,4708.000,3515.000,2480.000,1719.000,1294.000,1200.000,1381.000,1744.000,2167.000,2560.000,2856.000,3030.000,3103.000,3127.000,3172.000,3288.000,3516.000,3853.000,4277.000,4740.000,5192.000,5588.000,5913.000,6168.000,6384.000,5370.000,4481.000,7949.000,10426.000,9795.000,7419.000,5617.000,10934.000,6582.000,9651.000,10332.000,7161.000,9963.000,7887.000,6430.000,5556.000,8149.000,8377.000,8372.000,8283.000,8142.000,7994.000,7920.000,7977.000,8217.000,8629.000,9171.000,9742.000,10224.000,10484.000,10424.000,9997.000,9212.000,8150.000,6946.000,5753.000,4728.000,3980.000,3570.000,3496.000,3695.000,4067.000,4499.000,4886.000,5167.000,5331.000,5392.000,5408.000,5453.000,5580.000,5817.000,6173.000,6608.000,7073.000,7518.000,7906.000,8207.000,8445.000,8637.000,8829.000,9054.000,9332.000,9650.000,9990.000,10306.000,10546.000,10684.000,10710.000,10639.000,10506.000,10376.000,10288.000,10270.000,10333.000,10446.000,10563.000,10650.000,10654.000,10577.000,10441.000,10296.000,10219.000,10275.000,10505.000,10911.000,11445.000,12013.000,12484.000,12739.000,12673.000,12238.000,11449.000,10390.000,9190.000,8013.000,7002.000,6271.000,5881.000,5824.000,6034.000,6404.000,6828.000,7202.000,7470.000,7614.000,7666.000,7683.000,7732.000,7867.000,8123.000,8490.000,8937.000,9412.000,9853.000,10227.000,10518.000,10732.000,10908.000,11091.000,11316.000,11595.000,11925.000,14121.000,11780.000,13645.000,14311.000,11111.000,13146.000,12633.000,11197.000,11628.000,13102.000,10999.000,12725.000,14346.000,13718.000,12220.000,12968.000,13694.000,14088.000,11853.000,11754.000,12257.000,11809.000,12868.000,14507.000,14012.000,16847.000,13807.000,14502.000,13707.000,12640.000,11437.000,10261.000,9256.000,8538.000,8163.000,8118.000,8338.000,8717.000,9144.000,9520.000,9784.000</history>
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-05-01 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, there were periods where the readings were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
Predict the future traffic of this attraction for the next 50 days period, from 2026-05-02 00:00:00 to 2026-06-20 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template2/item2
|
GIFT synthesize
|
anomaly
|
D
|
58472.000,58748.000,59079.000,59273.000,120520.000,120748.000,121016.000,121274.000,121527.000,121754.000,122026.000,122334.000,122538.000,122868.000,123095.000,62376.000,62740.000,62966.000,63209.000,63503.000,63771.000,64018.000,64275.000,64537.000,64751.000,65058.000,65303.000,65571.000,65834.000,66113.000,66371.000,66674.000,66864.000,67191.000,67413.000,67669.000,67933.000,68239.000,68478.000,68733.000,69004.000,130169.000,130421.000,130714.000,130996.000,131201.000,131445.000,131722.000,131948.000,132264.000,132550.000,132747.000,72138.000,72378.000,72598.000,72936.000,73130.000,73443.000,73749.000,74043.000,74228.000,74523.000,74804.000,75042.000,75317.000,75507.000,75835.000,76059.000,76359.000,76643.000,76793.000,77088.000,77407.000,77663.000,77938.000,78184.000,78388.000,78692.000,139920.000,140135.000,140391.000,140702.000,140883.000,141153.000,141446.000,141675.000,141954.000,142229.000,142484.000,81847.000,82109.000,82326.000,82648.000,82868.000,83153.000,83411.000,83680.000,83935.000,84247.000,167024.000,152911.000,25694.000,89188.000,171316.000,41397.000,5000.000,21915.000,162450.000,177143.000,148675.000,140332.000,137321.000,173728.000,14517.000,106288.000,18586.000,142676.000,97701.000,61266.000,150589.000,150853.000,151185.000,151394.000,151646.000,151879.000,152161.000,152480.000,91759.000,92053.000,92267.000,92586.000,92877.000,93120.000,93342.000,93683.000,93872.000,94143.000,94347.000,94704.000,94980.000,95179.000,95458.000,95705.000,95960.000,96283.000,96542.000,96879.000,97033.000,97294.000,97644.000,97829.000,98151.000,98343.000,159534.000,159800.000,160027.000,160308.000,160572.000,160817.000,161073.000,161329.000,161639.000,161867.000,162212.000,101538.000,101779.000,102063.000,102316.000,102537.000,102827.000,103057.000,103366.000,103541.000,103912.000,104154.000,104333.000,104616.000,104916.000,105168.000,105427.000,105699.000,105941.000,106224.000,106468.000,106687.000,106986.000,104412.000,93472.000,87691.000,121202.000,170041.000,181643.000,189725.000,154026.000,175999.000,146031.000,183661.000,174059.000,151117.000,163253.000,164181.000,135054.000,89896.000,93738.000,134588.000,120521.000,113498.000,134160.000,128389.000,120994.000,113671.000,130347.000,129323.000,126246.000,91708.000,129598.000,112964.000,108947.000,95609.000,132754.000,133905.000,93187.000,136107.000,112507.000,120297.000,117260.000,128406.000,190204.000,170672.000,184819.000,182015.000,188620.000,196943.000,166468.000,173414.000,181084.000,181301.000,181572.000,120905.000,121159.000,121420.000,121666.000,121904.000,122228.000,122486.000,122739.000,122962.000,123257.000,123466.000,123808.000,124105.000,124282.000,124576.000,124816.000,125058.000,125351.000,125621.000,125931.000,126125.000,126433.000,126665.000,126954.000,127221.000,127459.000
|
2025-10-08 00:00:00
|
2026-06-28 00:00:00
|
188629.000,188918.000,189171.000,189440.000,189687.000,189897.000,190165.000,190478.000,190743.000,190957.000,191299.000,130593.000,130922.000,131127.000,131334.000,131681.000,131907.000,132148.000,132435.000,132720.000,132944.000,133219.000,133465.000,133726.000,134028.000,134309.000,134530.000,134820.000,135112.000,135343.000,135569.000,135840.000,136111.000,136338.000,136618.000,136918.000,137138.000,137449.000,198582.000,198833.000,199155.000,199383.000,199591.000,199919.000,200172.000,200420.000,200694.000,200968.000,201204.000,140538.000,140782.000,141127.000,141343.000,141610.000,141934.000,142142.000,142489.000,142707.000,142916.000,143117.000,143459.000,143716.000,143947.000,144245.000,144496.000,144772.000,145043.000,145278.000,145521.000,145809.000,146014.000,146299.000,146573.000,146842.000,147158.000,208287.000,208590.000,208837.000,209143.000,209374.000,209613.000,209864.000,210076.000,210325.000,210636.000,210950.000,150260.000,150525.000,150784.000,151057.000,151263.000,151594.000,151817.000,152141.000,152401.000,152609.000,152905.000,153122.000,153380.000,153702.000,153902.000,154199.000,154502.000,154715.000,154918.000,155272.000,155476.000,155718.000,156059.000,156274.000,156541.000,156789.000,218003.000,218286.000,218492.000,218784.000,219036.000,219320.000,219590.000,219875.000
|
2026-06-29 00:00:00
|
2026-10-26 00:00:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the future traffic of this attraction for the next 120 days period, from 2026-06-29 00:00:00 to 2026-10-26 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-06-28 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, there were periods where the readings were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
|
<history>58472.000,58748.000,59079.000,59273.000,120520.000,120748.000,121016.000,121274.000,121527.000,121754.000,122026.000,122334.000,122538.000,122868.000,123095.000,62376.000,62740.000,62966.000,63209.000,63503.000,63771.000,64018.000,64275.000,64537.000,64751.000,65058.000,65303.000,65571.000,65834.000,66113.000,66371.000,66674.000,66864.000,67191.000,67413.000,67669.000,67933.000,68239.000,68478.000,68733.000,69004.000,130169.000,130421.000,130714.000,130996.000,131201.000,131445.000,131722.000,131948.000,132264.000,132550.000,132747.000,72138.000,72378.000,72598.000,72936.000,73130.000,73443.000,73749.000,74043.000,74228.000,74523.000,74804.000,75042.000,75317.000,75507.000,75835.000,76059.000,76359.000,76643.000,76793.000,77088.000,77407.000,77663.000,77938.000,78184.000,78388.000,78692.000,139920.000,140135.000,140391.000,140702.000,140883.000,141153.000,141446.000,141675.000,141954.000,142229.000,142484.000,81847.000,82109.000,82326.000,82648.000,82868.000,83153.000,83411.000,83680.000,83935.000,84247.000,167024.000,152911.000,25694.000,89188.000,171316.000,41397.000,5000.000,21915.000,162450.000,177143.000,148675.000,140332.000,137321.000,173728.000,14517.000,106288.000,18586.000,142676.000,97701.000,61266.000,150589.000,150853.000,151185.000,151394.000,151646.000,151879.000,152161.000,152480.000,91759.000,92053.000,92267.000,92586.000,92877.000,93120.000,93342.000,93683.000,93872.000,94143.000,94347.000,94704.000,94980.000,95179.000,95458.000,95705.000,95960.000,96283.000,96542.000,96879.000,97033.000,97294.000,97644.000,97829.000,98151.000,98343.000,159534.000,159800.000,160027.000,160308.000,160572.000,160817.000,161073.000,161329.000,161639.000,161867.000,162212.000,101538.000,101779.000,102063.000,102316.000,102537.000,102827.000,103057.000,103366.000,103541.000,103912.000,104154.000,104333.000,104616.000,104916.000,105168.000,105427.000,105699.000,105941.000,106224.000,106468.000,106687.000,106986.000,104412.000,93472.000,87691.000,121202.000,170041.000,181643.000,189725.000,154026.000,175999.000,146031.000,183661.000,174059.000,151117.000,163253.000,164181.000,135054.000,89896.000,93738.000,134588.000,120521.000,113498.000,134160.000,128389.000,120994.000,113671.000,130347.000,129323.000,126246.000,91708.000,129598.000,112964.000,108947.000,95609.000,132754.000,133905.000,93187.000,136107.000,112507.000,120297.000,117260.000,128406.000,190204.000,170672.000,184819.000,182015.000,188620.000,196943.000,166468.000,173414.000,181084.000,181301.000,181572.000,120905.000,121159.000,121420.000,121666.000,121904.000,122228.000,122486.000,122739.000,122962.000,123257.000,123466.000,123808.000,124105.000,124282.000,124576.000,124816.000,125058.000,125351.000,125621.000,125931.000,126125.000,126433.000,126665.000,126954.000,127221.000,127459.000</history>
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-06-28 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, there were periods where the readings were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
Predict the future traffic of this attraction for the next 120 days period, from 2026-06-29 00:00:00 to 2026-10-26 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template3/item2
|
GIFT synthesize
|
anomaly
|
D
|
188.000,188.000,188.000,188.000,188.000,188.000,189.000,264.000,264.000,264.000,189.000,189.000,189.000,190.000,190.000,190.000,190.000,190.000,190.000,190.000,190.000,191.000,191.000,191.000,191.000,191.000,191.000,191.000,192.000,192.000,192.000,192.000,192.000,267.000,268.000,268.000,193.000,193.000,193.000,193.000,193.000,193.000,194.000,175.000,146.000,172.000,195.000,222.000,238.000,213.000,150.000,171.000,194.000,200.000,235.000,148.000,239.000,181.000,207.000,287.000,280.000,298.000,236.000,198.000,212.000,225.000,226.000,255.000,233.000,197.000,189.000,140.000,231.000,219.000,169.000,221.000,224.000,174.000,155.000,163.000,154.000,177.000,170.000,176.000,143.000,159.000,225.000,216.000,320.000,222.000,157.000,235.000,181.000,222.000,150.000,152.000,144.000,249.000,201.000,201.000,201.000,202.000,202.000,202.000,202.000,202.000,202.000,202.000,202.000,203.000,203.000,238.000,252.000,256.000,282.000,163.000,243.000,206.000,223.000,212.000,202.000,205.000,196.000,209.000,194.000,161.000,209.000,192.000,174.000,178.000,186.000,186.000,205.000,206.000,206.000,206.000,206.000,206.000,206.000,281.000,282.000,282.000,207.000,207.000,207.000,207.000,207.000,207.000,207.000,207.000,208.000,208.000,208.000,208.000,208.000,208.000,208.000,208.000,208.000,209.000,209.000,209.000,209.000,209.000,209.000,284.000,284.000,285.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,211.000,211.000,211.000,211.000,211.000,211.000,211.000,211.000,211.000,212.000,212.000,212.000,212.000,212.000,287.000,287.000,287.000,212.000,212.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,290.000,290.000,290.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,217.000
|
2025-10-08 00:00:00
|
2026-06-08 00:00:00
|
292.000,292.000,292.000,217.000,217.000,217.000,217.000,217.000,217.000,217.000,217.000,217.000,217.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,218.000,294.000,294.000,294.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,219.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,295.000,295.000,295.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,220.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,296.000,296.000,296.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,221.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,297.000,297.000,297.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,222.000,297.000,297.000,297.000,222.000,222.000,222.000,222.000
|
2026-06-09 00:00:00
|
2026-10-26 00:00:00
|
,
| 140
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the future traffic of this attraction for the next 140 days period, from 2026-06-09 00:00:00 to 2026-10-26 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-06-08 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, there were periods where the readings were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
|
<history>188.000,188.000,188.000,188.000,188.000,188.000,189.000,264.000,264.000,264.000,189.000,189.000,189.000,190.000,190.000,190.000,190.000,190.000,190.000,190.000,190.000,191.000,191.000,191.000,191.000,191.000,191.000,191.000,192.000,192.000,192.000,192.000,192.000,267.000,268.000,268.000,193.000,193.000,193.000,193.000,193.000,193.000,194.000,175.000,146.000,172.000,195.000,222.000,238.000,213.000,150.000,171.000,194.000,200.000,235.000,148.000,239.000,181.000,207.000,287.000,280.000,298.000,236.000,198.000,212.000,225.000,226.000,255.000,233.000,197.000,189.000,140.000,231.000,219.000,169.000,221.000,224.000,174.000,155.000,163.000,154.000,177.000,170.000,176.000,143.000,159.000,225.000,216.000,320.000,222.000,157.000,235.000,181.000,222.000,150.000,152.000,144.000,249.000,201.000,201.000,201.000,202.000,202.000,202.000,202.000,202.000,202.000,202.000,202.000,203.000,203.000,238.000,252.000,256.000,282.000,163.000,243.000,206.000,223.000,212.000,202.000,205.000,196.000,209.000,194.000,161.000,209.000,192.000,174.000,178.000,186.000,186.000,205.000,206.000,206.000,206.000,206.000,206.000,206.000,281.000,282.000,282.000,207.000,207.000,207.000,207.000,207.000,207.000,207.000,207.000,208.000,208.000,208.000,208.000,208.000,208.000,208.000,208.000,208.000,209.000,209.000,209.000,209.000,209.000,209.000,284.000,284.000,285.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,210.000,211.000,211.000,211.000,211.000,211.000,211.000,211.000,211.000,211.000,212.000,212.000,212.000,212.000,212.000,287.000,287.000,287.000,212.000,212.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,213.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,214.000,290.000,290.000,290.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,215.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,216.000,217.000</history>
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-08 00:00:00 to 2026-06-08 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, there were periods where the readings were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
Predict the future traffic of this attraction for the next 140 days period, from 2026-06-09 00:00:00 to 2026-10-26 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template4/item2
|
GIFT synthesize
|
anomaly
|
D
|
1934.000,1901.000,1871.000,1845.000,1822.000,1801.000,1781.000,1759.000,1737.000,1713.000,1687.000,1660.000,1633.000,1606.000,1582.000,1559.000,1536.000,1514.000,1493.000,1470.000,1447.000,1428.000,1410.000,1400.000,1400.000,1411.000,1435.000,1472.000,1519.000,1574.000,1631.000,1684.000,1728.000,1759.000,1775.000,1777.000,1766.000,1749.000,1731.000,1720.000,1723.000,1741.000,1779.000,1833.000,1901.000,1976.000,2050.000,2115.000,2165.000,2196.000,2204.000,2193.000,2168.000,2131.000,2092.000,2056.000,2031.000,2017.000,2017.000,2030.000,2050.000,2076.000,2103.000,2127.000,2145.000,2159.000,2170.000,2179.000,2189.000,2205.000,2227.000,2257.000,2293.000,2334.000,2374.000,2410.000,2437.000,2454.000,2458.000,2448.000,2428.000,2399.000,2366.000,2331.000,2299.000,2273.000,2254.000,2242.000,2238.000,2240.000,2247.000,2257.000,2273.000,2292.000,2316.000,2344.000,2377.000,2414.000,2454.000,2496.000,2534.000,2569.000,2594.000,2611.000,2616.000,2608.000,2590.000,2563.000,2529.000,2494.000,2457.000,2423.000,2392.000,2364.000,2340.000,2317.000,2295.000,2272.000,2249.000,2222.000,2196.000,2168.000,2140.000,2113.000,2088.000,2064.000,2040.000,2016.000,1992.000,1967.000,1943.000,1920.000,1903.000,1893.000,1893.000,1905.000,1931.000,1970.000,2017.000,2073.000,2128.000,2179.000,2221.000,2249.000,2261.000,2260.000,2246.000,2226.000,2207.000,2196.000,2197.000,2217.000,2255.000,2311.000,2378.000,2452.000,2525.000,2587.000,2634.000,2660.000,2667.000,2653.000,2624.000,2587.000,2547.000,2512.000,2486.000,2473.000,2474.000,2487.000,2508.000,2535.000,2561.000,2584.000,2602.000,2616.000,2626.000,2635.000,2645.000,2661.000,2683.000,2713.000,2748.000,2786.000,2825.000,2859.000,2885.000,2899.000,2901.000,2889.000,2867.000,2836.000,2802.000,2767.000,2735.000,2708.000,2688.000,2676.000,2670.000,2670.000,2675.000,2685.000,2698.000,2716.000,2739.000,2765.000,2797.000,2832.000,2871.000,2910.000,2946.000,2978.000,3001.000,3014.000,3015.000,3005.000,2984.000,2954.000,2918.000,2881.000,2844.000,2808.000,2777.000,2749.000,2725.000,2704.000,2682.000,2659.000,2636.000,2611.000,2585.000,2557.000,2528.000,2500.000,2474.000,2447.000,2421.000,2394.000,2367.000,2340.000,2315.000,2291.000,2274.000,2264.000,2265.000,2279.000,2306.000,2346.000,2397.000,2452.000,2507.000,2556.000,2594.000,2619.000,2627.000,2621.000,2603.000,2581.000,2559.000,2546.000,2547.000,2567.000,2605.000,2660.000,2728.000,2801.000,2871.000,2931.000,2975.000,2999.000,3003.000,2986.000,2955.000,3103.000,2611.000,2538.000,2807.000,3131.000,2802.000,2399.000,2954.000,3030.000,2447.000,3133.000,3360.000,2947.000,3254.000,2970.000,3270.000,2695.000,3354.000,2897.000,3407.000,3385.000,3031.000,2766.000,3461.000,2836.000,2922.000,3261.000,2786.000,3115.000,2894.000,3475.000,3153.000,3024.000,2900.000,3071.000,2601.000,3326.000,2971.000,2979.000,2992.000,3009.000,3030.000,3056.000,3086.000,3122.000,3160.000,3198.000,3233.000,3263.000,3284.000,3294.000,3293.000,3280.000,3256.000,3224.000,3186.000,3148.000,3109.000,3073.000,3043.000,3015.000,2990.000,2969.000,2947.000,2925.000,2900.000,2874.000,2846.000,2816.000,2787.000,2757.000,2728.000,2700.000,2673.000,2645.000,2616.000,2590.000,2563.000,2539.000,2521.000,2512.000,2513.000,2527.000,2555.000,2595.000,2644.000,2698.000,2752.000,2799.000,2836.000,2858.000,2862.000,2854.000,2936.000,2536.000,2555.000,2124.000,3252.000,2494.000,2360.000,2718.000,2183.000,3182.000,2940.000,2746.000,3031.000,3743.000,3442.000,3892.000,3150.000,2905.000,2674.000,3050.000,3025.000,3012.000,3014.000,3025.000,3046.000,3070.000,3093.000,3112.000,3127.000,3137.000,3144.000,3150.000,3159.000,3173.000,3195.000,3223.000,3257.000,3295.000,3329.000,3359.000,3380.000,3387.000,3383.000,3366.000,3338.000,3304.000
|
2025-10-09 00:00:00
|
2026-11-24 00:00:00
|
3266.000,3230.000,3197.000,3170.000,3151.000,3138.000,3132.000,3132.000,3136.000,3145.000,3156.000,3173.000,3194.000,3220.000,3251.000,3287.000,3324.000,3361.000,3397.000,3426.000,3446.000,3455.000,3451.000,3436.000,3410.000,3377.000,3339.000,3298.000,3258.000,3222.000,3189.000,3161.000,3135.000,3111.000,3087.000,3061.000,3034.000,3005.000,2973.000,2942.000,2910.000,2880.000,2850.000,2821.000,2794.000,2767.000,2739.000,2712.000,2685.000,2662.000,2643.000,2633.000,2634.000,2647.000,2673.000,2711.000,2758.000,2810.000,2861.000,2907.000,2940.000,2961.000,2965.000,2955.000,2937.000,2913.000,2893.000,2883.000,2887.000,2909.000,2951.000,3008.000,3074.000,3146.000,3212.000,3266.000,3302.000,3319.000,3314.000,3291.000,3255.000,3211.000,3168.000,3133.000,3107.000,3096.000,3097.000,3109.000,3128.000,3150.000,3171.000,3188.000,3200.000,3207.000,3211.000,3217.000,3224.000,3239.000,3261.000,3290.000
|
2026-11-25 00:00:00
|
2027-03-04 00:00:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Predict the future traffic of this attraction for the next 100 days period, from 2026-11-25 00:00:00 to 2027-03-04 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-09 00:00:00 to 2026-11-24 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, there were periods where the readings were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
|
<history>1934.000,1901.000,1871.000,1845.000,1822.000,1801.000,1781.000,1759.000,1737.000,1713.000,1687.000,1660.000,1633.000,1606.000,1582.000,1559.000,1536.000,1514.000,1493.000,1470.000,1447.000,1428.000,1410.000,1400.000,1400.000,1411.000,1435.000,1472.000,1519.000,1574.000,1631.000,1684.000,1728.000,1759.000,1775.000,1777.000,1766.000,1749.000,1731.000,1720.000,1723.000,1741.000,1779.000,1833.000,1901.000,1976.000,2050.000,2115.000,2165.000,2196.000,2204.000,2193.000,2168.000,2131.000,2092.000,2056.000,2031.000,2017.000,2017.000,2030.000,2050.000,2076.000,2103.000,2127.000,2145.000,2159.000,2170.000,2179.000,2189.000,2205.000,2227.000,2257.000,2293.000,2334.000,2374.000,2410.000,2437.000,2454.000,2458.000,2448.000,2428.000,2399.000,2366.000,2331.000,2299.000,2273.000,2254.000,2242.000,2238.000,2240.000,2247.000,2257.000,2273.000,2292.000,2316.000,2344.000,2377.000,2414.000,2454.000,2496.000,2534.000,2569.000,2594.000,2611.000,2616.000,2608.000,2590.000,2563.000,2529.000,2494.000,2457.000,2423.000,2392.000,2364.000,2340.000,2317.000,2295.000,2272.000,2249.000,2222.000,2196.000,2168.000,2140.000,2113.000,2088.000,2064.000,2040.000,2016.000,1992.000,1967.000,1943.000,1920.000,1903.000,1893.000,1893.000,1905.000,1931.000,1970.000,2017.000,2073.000,2128.000,2179.000,2221.000,2249.000,2261.000,2260.000,2246.000,2226.000,2207.000,2196.000,2197.000,2217.000,2255.000,2311.000,2378.000,2452.000,2525.000,2587.000,2634.000,2660.000,2667.000,2653.000,2624.000,2587.000,2547.000,2512.000,2486.000,2473.000,2474.000,2487.000,2508.000,2535.000,2561.000,2584.000,2602.000,2616.000,2626.000,2635.000,2645.000,2661.000,2683.000,2713.000,2748.000,2786.000,2825.000,2859.000,2885.000,2899.000,2901.000,2889.000,2867.000,2836.000,2802.000,2767.000,2735.000,2708.000,2688.000,2676.000,2670.000,2670.000,2675.000,2685.000,2698.000,2716.000,2739.000,2765.000,2797.000,2832.000,2871.000,2910.000,2946.000,2978.000,3001.000,3014.000,3015.000,3005.000,2984.000,2954.000,2918.000,2881.000,2844.000,2808.000,2777.000,2749.000,2725.000,2704.000,2682.000,2659.000,2636.000,2611.000,2585.000,2557.000,2528.000,2500.000,2474.000,2447.000,2421.000,2394.000,2367.000,2340.000,2315.000,2291.000,2274.000,2264.000,2265.000,2279.000,2306.000,2346.000,2397.000,2452.000,2507.000,2556.000,2594.000,2619.000,2627.000,2621.000,2603.000,2581.000,2559.000,2546.000,2547.000,2567.000,2605.000,2660.000,2728.000,2801.000,2871.000,2931.000,2975.000,2999.000,3003.000,2986.000,2955.000,3103.000,2611.000,2538.000,2807.000,3131.000,2802.000,2399.000,2954.000,3030.000,2447.000,3133.000,3360.000,2947.000,3254.000,2970.000,3270.000,2695.000,3354.000,2897.000,3407.000,3385.000,3031.000,2766.000,3461.000,2836.000,2922.000,3261.000,2786.000,3115.000,2894.000,3475.000,3153.000,3024.000,2900.000,3071.000,2601.000,3326.000,2971.000,2979.000,2992.000,3009.000,3030.000,3056.000,3086.000,3122.000,3160.000,3198.000,3233.000,3263.000,3284.000,3294.000,3293.000,3280.000,3256.000,3224.000,3186.000,3148.000,3109.000,3073.000,3043.000,3015.000,2990.000,2969.000,2947.000,2925.000,2900.000,2874.000,2846.000,2816.000,2787.000,2757.000,2728.000,2700.000,2673.000,2645.000,2616.000,2590.000,2563.000,2539.000,2521.000,2512.000,2513.000,2527.000,2555.000,2595.000,2644.000,2698.000,2752.000,2799.000,2836.000,2858.000,2862.000,2854.000,2936.000,2536.000,2555.000,2124.000,3252.000,2494.000,2360.000,2718.000,2183.000,3182.000,2940.000,2746.000,3031.000,3743.000,3442.000,3892.000,3150.000,2905.000,2674.000,3050.000,3025.000,3012.000,3014.000,3025.000,3046.000,3070.000,3093.000,3112.000,3127.000,3137.000,3144.000,3150.000,3159.000,3173.000,3195.000,3223.000,3257.000,3295.000,3329.000,3359.000,3380.000,3387.000,3383.000,3366.000,3338.000,3304.000</history>
This time series records the traffic at a popular tourist attraction. The data was recorded from 2025-10-09 00:00:00 to 2026-11-24 00:00:00 with the daily (D) frequency. The experts predicted that the traffic should follow a standard seasonality pattern. However, due to system errors, there were periods where the readings were noisy and did not follow the regular patterns. Such noisy reading should not happen again in the future.
Predict the future traffic of this attraction for the next 100 days period, from 2026-11-25 00:00:00 to 2027-03-04 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template0/item3
|
GIFT synthesize
|
phase_change
|
5T
|
0.791,0.795,0.798,0.800,0.803,0.804,0.805,0.806,0.806,0.806,0.806,0.805,0.804,0.803,0.802,0.802,0.801,0.800,0.800,0.800,0.800,0.800,0.801,0.802,0.803,0.805,0.806,0.808,0.810,0.812,0.814,0.815,0.817,0.818,0.819,0.820,0.820,0.819,0.818,0.817,0.815,0.812,0.808,0.804,0.800,0.795,0.789,0.783,0.777,0.771,0.764,0.758,0.751,0.745,0.739,0.733,0.728,0.724,0.720,0.716,0.714,0.712,0.711,0.711,0.711,0.713,0.715,0.718,0.721,0.725,0.730,0.735,0.740,0.746,0.752,0.758,0.763,0.769,0.775,0.780,0.784,0.789,0.793,0.796,0.799,0.802,0.803,0.805,0.806,0.806,0.806,0.806,0.806,0.805,0.811,0.722,0.693,0.662,0.632,0.626,0.619,0.619,0.620,0.620,0.621,0.622,0.623,0.625,0.627,0.628,0.630,0.632,0.634,0.635,0.636,0.637,0.638,0.638,0.638,0.637,0.636,0.634,0.631,0.628,0.625,0.620,0.615,0.610,0.604,0.598,0.592,0.585,0.579,0.572,0.566,0.560,0.554,0.549,0.544,0.539,0.536,0.533,0.531,0.529,0.529,0.529,0.530,0.532,0.535,0.538,0.542,0.546,0.551,0.556,0.562,0.568,0.573,0.579,0.585,0.590,0.596,0.601,0.605,0.609,0.613,0.616
|
2025-10-07 00:00:00
|
2025-10-07 13:45:00
|
0.619,0.621,0.622,0.623,0.624,0.624,0.624,0.624,0.623,0.622,0.622,0.621,0.620,0.619,0.619,0.618,0.618,0.618,0.619,0.619,0.620,0.621,0.623,0.624,0.626,0.628,0.630,0.632,0.633,0.635,0.636,0.637,0.637,0.638,0.637,0.636,0.635,0.632,0.630,0.626,0.622,0.618,0.613,0.607,0.601,0.595,0.589,0.582,0.576,0.569,0.563,0.557,0.552,0.547,0.542,0.538,0.535,0.532,0.530,0.529,0.529,0.530,0.531,0.534,0.536,0.540,0.544,0.549,0.554,0.559,0.565,0.571,0.576,0.582,0.588,0.593,0.598,0.603,0.607,0.611,0.615,0.617,0.620,0.622,0.623,0.624,0.624,0.624,0.624,0.624
|
2025-10-07 13:50:00
|
2025-10-07 21:15:00
|
,
| 90
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 90 readings from this sensor, from 2025-10-07 13:50:00 to 2025-10-07 21:15:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-07 00:00:00 to 2025-10-07 13:45:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the first 100 CPU load reading, from 2025-10-07 07:45:00 to 2025-10-07 08:15:00, were significantly higher than normal. After the firmware update on 2025-10-07 08:20:00, the CPU runs normally and reports normal loads.
|
<history>0.791,0.795,0.798,0.800,0.803,0.804,0.805,0.806,0.806,0.806,0.806,0.805,0.804,0.803,0.802,0.802,0.801,0.800,0.800,0.800,0.800,0.800,0.801,0.802,0.803,0.805,0.806,0.808,0.810,0.812,0.814,0.815,0.817,0.818,0.819,0.820,0.820,0.819,0.818,0.817,0.815,0.812,0.808,0.804,0.800,0.795,0.789,0.783,0.777,0.771,0.764,0.758,0.751,0.745,0.739,0.733,0.728,0.724,0.720,0.716,0.714,0.712,0.711,0.711,0.711,0.713,0.715,0.718,0.721,0.725,0.730,0.735,0.740,0.746,0.752,0.758,0.763,0.769,0.775,0.780,0.784,0.789,0.793,0.796,0.799,0.802,0.803,0.805,0.806,0.806,0.806,0.806,0.806,0.805,0.811,0.722,0.693,0.662,0.632,0.626,0.619,0.619,0.620,0.620,0.621,0.622,0.623,0.625,0.627,0.628,0.630,0.632,0.634,0.635,0.636,0.637,0.638,0.638,0.638,0.637,0.636,0.634,0.631,0.628,0.625,0.620,0.615,0.610,0.604,0.598,0.592,0.585,0.579,0.572,0.566,0.560,0.554,0.549,0.544,0.539,0.536,0.533,0.531,0.529,0.529,0.529,0.530,0.532,0.535,0.538,0.542,0.546,0.551,0.556,0.562,0.568,0.573,0.579,0.585,0.590,0.596,0.601,0.605,0.609,0.613,0.616</history>
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-07 00:00:00 to 2025-10-07 13:45:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the first 100 CPU load reading, from 2025-10-07 07:45:00 to 2025-10-07 08:15:00, were significantly higher than normal. After the firmware update on 2025-10-07 08:20:00, the CPU runs normally and reports normal loads.
Forecast the future 90 readings from this sensor, from 2025-10-07 13:50:00 to 2025-10-07 21:15:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template1/item3
|
GIFT synthesize
|
phase_change
|
5T
|
48.538,48.623,48.706,48.795,48.874,48.960,49.047,49.128,49.213,49.294,49.378,49.464,49.546,49.630,49.716,49.799,49.876,49.964,50.048,50.129,50.214,50.295,50.382,50.466,50.548,50.632,50.717,50.795,50.879,50.963,51.041,51.126,51.212,51.294,51.373,51.456,51.541,51.618,51.702,51.782,51.863,51.945,52.028,52.107,52.191,52.270,52.352,52.433,52.514,52.592,52.673,52.751,52.832,52.913,52.995,53.070,53.149,53.227,53.308,53.391,53.465,53.538,53.621,53.700,53.775,53.853,53.931,54.008,54.083,54.164,54.236,54.314,54.388,54.468,54.542,54.616,54.690,54.764,54.843,54.915,54.988,55.064,55.137,55.210,55.284,55.358,55.433,55.503,55.574,55.648,55.717,55.790,55.857,55.932,56.004,56.075,56.144,56.210,56.279,56.351,56.421,56.484,56.555,56.619,56.694,56.758,56.826,56.894,56.959,57.023,57.091,57.155,57.221,57.282,57.349,57.414,57.479,57.542,57.604,57.664,57.730,57.789,57.853,57.914,57.978,58.037,58.096,58.157,58.213,58.273,58.336,58.391,58.452,58.511,58.566,58.621,58.678,58.734,58.793,58.847,58.902,58.955,59.013,59.062,59.113,59.173,59.221,59.279,59.332,59.376,59.431,59.480,59.533,59.581,59.628,59.678,59.726,59.773,59.823,59.871,59.916,59.964,60.009,60.048,60.102,60.148,60.190,60.234,60.279,60.318,60.362,60.401,60.444,60.491,60.525,60.568,60.609,60.650,60.687,60.724,60.764,60.802,58.355,50.931,50.970,51.004,51.042,51.076,51.108,51.143,51.174,51.208,51.242,51.271,51.306,51.335,51.367,51.400,51.424,51.457,51.486,51.509,51.539,51.566,51.590,51.619,51.643,51.668,51.695,51.720,51.741,51.768,51.790,51.809,51.830,51.853,51.875,51.895,51.914,51.935,51.952,51.969,51.989,52.004,52.020,52.038
|
2025-10-07 00:00:00
|
2025-10-07 18:45:00
|
52.049,52.066,52.081,52.096,52.110,52.124,52.138,52.150,52.157,52.167,52.181,52.192,52.199,52.208,52.217,52.226,52.234,52.242,52.245,52.252,52.259,52.262,52.265,52.271,52.276,52.278,52.279,52.280,52.283,52.286
|
2025-10-07 18:50:00
|
2025-10-07 21:15:00
|
,
| 30
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 30 readings from this sensor, from 2025-10-07 18:50:00 to 2025-10-07 21:15:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-07 00:00:00 to 2025-10-07 18:45:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the first 184 CPU load reading, from 2025-10-07 15:00:00 to 2025-10-07 15:15:00, were significantly higher than normal. After the firmware update on 2025-10-07 15:20:00, the CPU runs normally and reports normal loads.
|
<history>48.538,48.623,48.706,48.795,48.874,48.960,49.047,49.128,49.213,49.294,49.378,49.464,49.546,49.630,49.716,49.799,49.876,49.964,50.048,50.129,50.214,50.295,50.382,50.466,50.548,50.632,50.717,50.795,50.879,50.963,51.041,51.126,51.212,51.294,51.373,51.456,51.541,51.618,51.702,51.782,51.863,51.945,52.028,52.107,52.191,52.270,52.352,52.433,52.514,52.592,52.673,52.751,52.832,52.913,52.995,53.070,53.149,53.227,53.308,53.391,53.465,53.538,53.621,53.700,53.775,53.853,53.931,54.008,54.083,54.164,54.236,54.314,54.388,54.468,54.542,54.616,54.690,54.764,54.843,54.915,54.988,55.064,55.137,55.210,55.284,55.358,55.433,55.503,55.574,55.648,55.717,55.790,55.857,55.932,56.004,56.075,56.144,56.210,56.279,56.351,56.421,56.484,56.555,56.619,56.694,56.758,56.826,56.894,56.959,57.023,57.091,57.155,57.221,57.282,57.349,57.414,57.479,57.542,57.604,57.664,57.730,57.789,57.853,57.914,57.978,58.037,58.096,58.157,58.213,58.273,58.336,58.391,58.452,58.511,58.566,58.621,58.678,58.734,58.793,58.847,58.902,58.955,59.013,59.062,59.113,59.173,59.221,59.279,59.332,59.376,59.431,59.480,59.533,59.581,59.628,59.678,59.726,59.773,59.823,59.871,59.916,59.964,60.009,60.048,60.102,60.148,60.190,60.234,60.279,60.318,60.362,60.401,60.444,60.491,60.525,60.568,60.609,60.650,60.687,60.724,60.764,60.802,58.355,50.931,50.970,51.004,51.042,51.076,51.108,51.143,51.174,51.208,51.242,51.271,51.306,51.335,51.367,51.400,51.424,51.457,51.486,51.509,51.539,51.566,51.590,51.619,51.643,51.668,51.695,51.720,51.741,51.768,51.790,51.809,51.830,51.853,51.875,51.895,51.914,51.935,51.952,51.969,51.989,52.004,52.020,52.038</history>
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-07 00:00:00 to 2025-10-07 18:45:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the first 184 CPU load reading, from 2025-10-07 15:00:00 to 2025-10-07 15:15:00, were significantly higher than normal. After the firmware update on 2025-10-07 15:20:00, the CPU runs normally and reports normal loads.
Forecast the future 30 readings from this sensor, from 2025-10-07 18:50:00 to 2025-10-07 21:15:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template2/item3
|
GIFT synthesize
|
phase_change
|
5T
|
0.542,0.541,0.539,0.537,0.533,0.529,0.525,0.522,0.519,0.518,0.518,0.520,0.525,0.531,0.539,0.548,0.558,0.569,0.579,0.589,0.596,0.603,0.607,0.610,0.611,0.610,0.608,0.605,0.601,0.598,0.595,0.593,0.591,0.590,0.590,0.590,0.591,0.591,0.590,0.589,0.588,0.585,0.582,0.578,0.574,0.570,0.567,0.563,0.561,0.559,0.558,0.558,0.558,0.559,0.559,0.560,0.560,0.560,0.559,0.558,0.556,0.554,0.552,0.550,0.548,0.547,0.545,0.545,0.544,0.544,0.544,0.544,0.544,0.544,0.544,0.543,0.543,0.542,0.542,0.541,0.542,0.542,0.543,0.544,0.545,0.546,0.546,0.546,0.546,0.544,0.542,0.539,0.535,0.531,0.528,0.525,0.523,0.522,0.523,0.526,0.531,0.538,0.547,0.556,0.567,0.577,0.587,0.596,0.604,0.609,0.613,0.615,0.615,0.613,0.611,0.608,0.605,0.602,0.599,0.597,0.596,0.596,0.596,0.596,0.596,0.596,0.596,0.595,0.593,0.590,0.587,0.588,0.563,0.559,0.549,0.561,0.547,0.536,0.534,0.521,0.510,0.506,0.507,0.507,0.507,0.507,0.506,0.505,0.503,0.501,0.499,0.497,0.496,0.494,0.493,0.493,0.492,0.492,0.492,0.492,0.492,0.492,0.492,0.491,0.491,0.490,0.490,0.490,0.490,0.491,0.492,0.493,0.494,0.495,0.495,0.495,0.494,0.492,0.490,0.486,0.483,0.479,0.476,0.473,0.472,0.472,0.474,0.478,0.484,0.492,0.502,0.512,0.523,0.533,0.543,0.552,0.559,0.564,0.567,0.568,0.568,0.566,0.563,0.560,0.557,0.554,0.552,0.550,0.550,0.549,0.550,0.550,0.550,0.550,0.549,0.547,0.545,0.542,0.539,0.535,0.531,0.527,0.524,0.522,0.520,0.519,0.519,0.519,0.519,0.520,0.521,0.521,0.521,0.520
|
2025-10-07 00:00:00
|
2025-10-07 19:25:00
|
0.519,0.517,0.515,0.513,0.511,0.509,0.507,0.506,0.505,0.505,0.505,0.505,0.505,0.505,0.505,0.505,0.505,0.505,0.505,0.504,0.504,0.504,0.505,0.506,0.507,0.508,0.509,0.510,0.510,0.510,0.508,0.506,0.504,0.500,0.496,0.493,0.490,0.488,0.487,0.488,0.491,0.496,0.503,0.512,0.522,0.533,0.544,0.554,0.563,0.572,0.578,0.582,0.584,0.585,0.584,0.582,0.579,0.575,0.572,0.570,0.568,0.567,0.566,0.566,0.567,0.567,0.567,0.567,0.566,0.564,0.561,0.558,0.554,0.551,0.547,0.543,0.541,0.539,0.537,0.537,0.537,0.537,0.538,0.539,0.540,0.540,0.540,0.539,0.538,0.536,0.534,0.532,0.530,0.528,0.527,0.526,0.526,0.526,0.526,0.526,0.527,0.527,0.527,0.527,0.527,0.527,0.526,0.526,0.526,0.526,0.526,0.527,0.529,0.530,0.531,0.532,0.532,0.531,0.530,0.528,0.525,0.522,0.518,0.515,0.512,0.510,0.510,0.512,0.516,0.522,0.530,0.539,0.549,0.559,0.570,0.580,0.589,0.596,0.601,0.604,0.606,0.606,0.604,0.601,0.598,0.595,0.593,0.591,0.589,0.589
|
2025-10-07 19:30:00
|
2025-10-08 07:55:00
|
,
| 150
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 150 readings from this sensor, from 2025-10-07 19:30:00 to 2025-10-08 07:55:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-07 00:00:00 to 2025-10-07 19:25:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the first 141 CPU load reading, from 2025-10-07 10:50:00 to 2025-10-07 11:40:00, were significantly higher than normal. After the firmware update on 2025-10-07 11:45:00, the CPU runs normally and reports normal loads.
|
<history>0.542,0.541,0.539,0.537,0.533,0.529,0.525,0.522,0.519,0.518,0.518,0.520,0.525,0.531,0.539,0.548,0.558,0.569,0.579,0.589,0.596,0.603,0.607,0.610,0.611,0.610,0.608,0.605,0.601,0.598,0.595,0.593,0.591,0.590,0.590,0.590,0.591,0.591,0.590,0.589,0.588,0.585,0.582,0.578,0.574,0.570,0.567,0.563,0.561,0.559,0.558,0.558,0.558,0.559,0.559,0.560,0.560,0.560,0.559,0.558,0.556,0.554,0.552,0.550,0.548,0.547,0.545,0.545,0.544,0.544,0.544,0.544,0.544,0.544,0.544,0.543,0.543,0.542,0.542,0.541,0.542,0.542,0.543,0.544,0.545,0.546,0.546,0.546,0.546,0.544,0.542,0.539,0.535,0.531,0.528,0.525,0.523,0.522,0.523,0.526,0.531,0.538,0.547,0.556,0.567,0.577,0.587,0.596,0.604,0.609,0.613,0.615,0.615,0.613,0.611,0.608,0.605,0.602,0.599,0.597,0.596,0.596,0.596,0.596,0.596,0.596,0.596,0.595,0.593,0.590,0.587,0.588,0.563,0.559,0.549,0.561,0.547,0.536,0.534,0.521,0.510,0.506,0.507,0.507,0.507,0.507,0.506,0.505,0.503,0.501,0.499,0.497,0.496,0.494,0.493,0.493,0.492,0.492,0.492,0.492,0.492,0.492,0.492,0.491,0.491,0.490,0.490,0.490,0.490,0.491,0.492,0.493,0.494,0.495,0.495,0.495,0.494,0.492,0.490,0.486,0.483,0.479,0.476,0.473,0.472,0.472,0.474,0.478,0.484,0.492,0.502,0.512,0.523,0.533,0.543,0.552,0.559,0.564,0.567,0.568,0.568,0.566,0.563,0.560,0.557,0.554,0.552,0.550,0.550,0.549,0.550,0.550,0.550,0.550,0.549,0.547,0.545,0.542,0.539,0.535,0.531,0.527,0.524,0.522,0.520,0.519,0.519,0.519,0.519,0.520,0.521,0.521,0.521,0.520</history>
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-07 00:00:00 to 2025-10-07 19:25:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the first 141 CPU load reading, from 2025-10-07 10:50:00 to 2025-10-07 11:40:00, were significantly higher than normal. After the firmware update on 2025-10-07 11:45:00, the CPU runs normally and reports normal loads.
Forecast the future 150 readings from this sensor, from 2025-10-07 19:30:00 to 2025-10-08 07:55:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template3/item3
|
GIFT synthesize
|
phase_change
|
5T
|
79.630,79.587,79.548,79.511,81.308,86.100,90.906,89.415,84.535,79.669,79.250,79.211,79.180,79.134,79.106,79.062,79.029,78.986,78.950,78.916,78.879,78.839,78.799,78.760,78.731,78.689,78.648,78.619,78.576,78.535,78.501,78.469,78.429,78.396,78.356,78.324,78.574,83.379,88.172,89.751,84.870,80.000,78.054,78.027,77.989,77.949,77.904,77.875,77.842,77.801,77.770,77.734,77.693,77.658,77.614,77.581,77.542,77.512,77.469,77.433,77.404,77.367,77.325,77.283,77.253,77.218,77.187,77.140,77.112,80.682,85.485,90.109,85.234,80.360,76.891,76.857,76.822,76.786,76.755,76.717,76.673,76.645,76.605,76.568,76.531,76.493,76.466,76.429,76.395,76.361,76.326,76.288,76.255,76.220,76.187,76.154,76.113,76.085,76.050,76.014,75.979,78.029,82.827,87.631,85.639,80.766,75.898,75.742,75.703,75.675,75.637,75.609,75.565,75.531,75.499,75.470,75.441,75.404,75.375,75.338,75.306,75.268,75.240,75.197,75.178,75.136,75.103,75.074,75.037,75.010,74.982,74.938,74.914,75.434,80.239,85.045,86.107,81.238,76.361,74.691,74.657,74.627,74.595,74.563,74.529,74.501,74.472,74.443,74.404,74.379,74.339,74.318,74.283,74.254,74.222,74.196,74.163,74.135,74.104,74.074,74.047,74.015,73.982,73.955,73.919,73.891,77.739,82.543,86.657,81.790,76.922,73.723,73.689,73.664,73.636,73.605,73.579,73.550,73.524,73.497,73.472,73.438,73.408,73.385,73.356,73.332,73.307,73.275,73.247,73.222,73.193,73.165,73.144,73.112,73.086,73.062,73.036,73.008,75.324,80.133,84.951,82.449,62.965,58.246,58.987,59.689,60.317,60.846,61.227,61.457,61.434,61.410,61.383,61.363,61.336,61.315,61.290,61.266,61.241,61.225,61.195,61.173,61.154,61.127,61.104,61.081,61.062,61.034,61.018,60.992,61.783,66.594,71.414,71.968
|
2025-10-06 00:00:00
|
2025-10-06 19:25:00
|
67.111,62.248,60.842,60.818,60.794,60.773,60.758,60.736,60.712,60.693,60.674,60.647,60.635,60.616,60.590,60.572,60.556,60.534,60.508,60.490,60.474,60.456,60.439,60.418,60.399,60.385,60.361,60.346,60.322,64.428,69.252,72.866,68.005,63.156,60.222,60.205,60.188,60.166,60.151,60.141,60.122,60.105,60.095,60.074,60.063,60.043,60.030,60.015,59.992,59.981,59.968,59.951,59.935,59.923,59.905,59.898,59.884,59.867,59.856,59.843,59.826,62.398,67.234,72.058,69.055,64.198,59.745,59.730,59.715,59.711,59.694,59.688,59.670,59.658,59.653,59.632,59.628,59.608,59.603,59.593,59.585,59.579,59.567,59.554,59.544,59.523,59.525,59.511,59.507,59.490,59.474,59.476,59.472,60.524,65.352,70.190,70.242,65.394,60.545,59.411,59.391,59.388,59.382,59.380,59.371,59.366,59.355,59.352,59.343,59.335,59.335,59.325,59.316,59.311,59.309,59.298,59.294,59.294,59.287,59.290,59.274,59.269,59.272,59.265,59.260,59.253,63.629,68.467,71.577,66.739,61.898,59.233,59.235,59.234,59.232,59.225,59.221,59.222,59.223,59.217,59.216,59.223,59.212,59.208,59.220,59.211,59.206,59.210,59.207,59.216
|
2025-10-06 19:30:00
|
2025-10-07 07:55:00
|
,
| 150
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 150 readings from this sensor, from 2025-10-06 19:30:00 to 2025-10-07 07:55:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-06 00:00:00 to 2025-10-06 19:25:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the first 203 CPU load reading, from 2025-10-06 16:40:00 to 2025-10-06 16:50:00, were significantly higher than normal. After the firmware update on 2025-10-06 16:55:00, the CPU runs normally and reports normal loads.
|
<history>79.630,79.587,79.548,79.511,81.308,86.100,90.906,89.415,84.535,79.669,79.250,79.211,79.180,79.134,79.106,79.062,79.029,78.986,78.950,78.916,78.879,78.839,78.799,78.760,78.731,78.689,78.648,78.619,78.576,78.535,78.501,78.469,78.429,78.396,78.356,78.324,78.574,83.379,88.172,89.751,84.870,80.000,78.054,78.027,77.989,77.949,77.904,77.875,77.842,77.801,77.770,77.734,77.693,77.658,77.614,77.581,77.542,77.512,77.469,77.433,77.404,77.367,77.325,77.283,77.253,77.218,77.187,77.140,77.112,80.682,85.485,90.109,85.234,80.360,76.891,76.857,76.822,76.786,76.755,76.717,76.673,76.645,76.605,76.568,76.531,76.493,76.466,76.429,76.395,76.361,76.326,76.288,76.255,76.220,76.187,76.154,76.113,76.085,76.050,76.014,75.979,78.029,82.827,87.631,85.639,80.766,75.898,75.742,75.703,75.675,75.637,75.609,75.565,75.531,75.499,75.470,75.441,75.404,75.375,75.338,75.306,75.268,75.240,75.197,75.178,75.136,75.103,75.074,75.037,75.010,74.982,74.938,74.914,75.434,80.239,85.045,86.107,81.238,76.361,74.691,74.657,74.627,74.595,74.563,74.529,74.501,74.472,74.443,74.404,74.379,74.339,74.318,74.283,74.254,74.222,74.196,74.163,74.135,74.104,74.074,74.047,74.015,73.982,73.955,73.919,73.891,77.739,82.543,86.657,81.790,76.922,73.723,73.689,73.664,73.636,73.605,73.579,73.550,73.524,73.497,73.472,73.438,73.408,73.385,73.356,73.332,73.307,73.275,73.247,73.222,73.193,73.165,73.144,73.112,73.086,73.062,73.036,73.008,75.324,80.133,84.951,82.449,62.965,58.246,58.987,59.689,60.317,60.846,61.227,61.457,61.434,61.410,61.383,61.363,61.336,61.315,61.290,61.266,61.241,61.225,61.195,61.173,61.154,61.127,61.104,61.081,61.062,61.034,61.018,60.992,61.783,66.594,71.414,71.968</history>
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-06 00:00:00 to 2025-10-06 19:25:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the first 203 CPU load reading, from 2025-10-06 16:40:00 to 2025-10-06 16:50:00, were significantly higher than normal. After the firmware update on 2025-10-06 16:55:00, the CPU runs normally and reports normal loads.
Forecast the future 150 readings from this sensor, from 2025-10-06 19:30:00 to 2025-10-07 07:55:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template4/item3
|
GIFT synthesize
|
phase_change
|
5T
|
91.097,89.218,87.351,85.623,84.147,82.980,82.194,81.790,81.761,82.049,82.576,83.253,83.974,84.649,85.194,85.575,85.751,85.738,85.568,85.295,84.993,84.722,84.539,84.494,84.603,84.849,85.200,85.600,85.955,86.179,86.185,85.910,85.310,84.365,83.085,81.543,79.810,77.986,76.196,74.560,73.158,72.093,71.408,71.111,71.184,71.572,72.196,72.643,72.510,71.699,70.147,67.784,64.611,60.613,55.843,55.639,57.841,59.380,60.329,60.372,60.571,60.909,61.352,61.831,62.275,62.573,62.649,62.449,61.913,61.029,59.822,58.345,56.693,54.954,53.262,51.724,50.443,49.491,48.927,48.750,48.946,49.441,50.175,51.041,51.931,52.761,53.459,53.974,54.279,54.406,54.369,54.243,54.092,53.988,53.989,54.126,54.432,54.881,55.429,56.008,56.546,56.937,57.107,56.992,56.538,55.742,54.628,53.243,51.686,50.066,48.485,47.075,45.920,45.112,44.686,44.654,44.978,45.610,46.467,47.443,48.439,49.372,50.159,50.760,51.156,51.363,51.423,51.394,51.340,51.346,51.463,51.722,52.145,52.713,53.388,54.089,54.738,55.246,55.522,55.521,55.183,54.496,53.496,52.242,50.818,49.337,47.907,46.655,45.665,45.024,44.765,44.895,45.385,46.180,47.177,48.284,49.410,50.460,51.359,52.072,52.578,52.895,53.062,53.152,53.220,53.349,53.589,53.986,54.536,55.233,56.028,56.846,57.601,58.211,58.597,58.679,58.426,57.829,56.917,55.754,54.428,53.045,51.728,50.584,49.710,49.177,49.024,49.260,49.834,50.706,51.771,52.938,54.110,55.194,56.118,56.857,57.376,57.709,57.903,58.004,58.102,58.261,58.528,58.950,59.531,60.249,61.052,61.880,62.636,63.235,63.605,63.664,63.394,62.778,61.848,60.670,59.334,57.950,56.634,55.488,54.618,54.088,53.935,54.156,54.717,55.560,56.580,57.694,58.793,59.807,60.653,61.297,61.735,61.984,62.087,62.117,62.129,62.212,62.401,62.743,63.237,63.867,64.581,65.298,65.948,66.433,66.671,66.606,66.209,65.455,64.399,63.100,61.652,60.163,58.741,57.512,56.556,55.944,55.713,55.845,56.315,57.053,57.981,58.985,59.975,60.873,61.603,62.137,62.467,62.613,62.629,62.573
|
2025-10-06 00:00:00
|
2025-10-06 22:35:00
|
62.516,62.530,62.663,62.940,63.383,63.956,64.609,65.276,65.858,66.284,66.466,66.339,65.890,65.095,64.009,62.688,61.221,59.730,58.316,57.096,56.160,55.564,55.338,55.479,55.951,56.685,57.594,58.584,59.548,60.410,61.118,61.618,61.924,62.046,62.044,61.979,61.911,61.924,62.053,62.337,62.778,63.342,63.984,64.630,65.194,65.590,65.732,65.575,65.087,64.266,63.155,61.816,60.346,58.849,57.443,56.240,55.311,54.728,54.528,54.680,55.160,55.895,56.804,57.778,58.724,59.570,60.253,60.736,61.027,61.138,61.131,61.065,61.005,61.019,61.165,61.456,61.901,62.467,63.104,63.735,64.273,64.647,64.767,64.577,64.057,63.207,62.070,60.719,59.248,57.743,56.354,55.164,54.256,53.695,53.509,53.677,54.180,54.919,55.831,56.794,57.740,58.580,59.248,59.724,60.007,60.121,60.116,60.060,60.013,60.045,60.200,60.507,60.962,61.541,62.176,62.795,63.321,63.668,63.753,63.536,62.983,62.106,60.939,59.564,58.076,56.578,55.182,53.997,53.109,52.567,52.392,52.580,53.078,53.832,54.738,55.705,56.638,57.461,58.120,58.578,58.849,58.956,58.945,58.886,58.853,58.889,59.057,59.370,59.827,60.403,61.029,61.637,62.135,62.452,62.505,62.247,61.653,60.733,59.535,58.132,56.620,55.104,53.709,52.524,51.638,51.100,50.943,51.147,51.656,52.410,53.316,54.282,55.204,56.020,56.668,57.116,57.380,57.478,57.468,57.415,57.381,57.430,57.603,57.931,58.397,58.971,59.589,60.186,60.665,60.950,60.967,60.674,60.041,59.081,57.847,56.412,54.872,53.347,51.940,50.760,49.878,49.357,49.213,49.432,49.956,50.720,51.635,52.592,53.520,54.321,54.959,55.409,55.654,55.751,55.740,55.688,55.661,55.726,55.909,56.240,56.716,57.290,57.917,58.499,58.962,59.223,59.212,58.872,58.201,57.204,55.932,54.466,52.907,51.359,49.949,48.768,47.901,47.394,47.267,47.503
|
2025-10-06 22:40:00
|
2025-10-07 18:35:00
|
,
| 240
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 240 readings from this sensor, from 2025-10-06 22:40:00 to 2025-10-07 18:35:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-06 00:00:00 to 2025-10-06 22:35:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the first 55 CPU load reading, from 2025-10-06 03:45:00 to 2025-10-06 04:30:00, were significantly higher than normal. After the firmware update on 2025-10-06 04:35:00, the CPU runs normally and reports normal loads.
|
<history>91.097,89.218,87.351,85.623,84.147,82.980,82.194,81.790,81.761,82.049,82.576,83.253,83.974,84.649,85.194,85.575,85.751,85.738,85.568,85.295,84.993,84.722,84.539,84.494,84.603,84.849,85.200,85.600,85.955,86.179,86.185,85.910,85.310,84.365,83.085,81.543,79.810,77.986,76.196,74.560,73.158,72.093,71.408,71.111,71.184,71.572,72.196,72.643,72.510,71.699,70.147,67.784,64.611,60.613,55.843,55.639,57.841,59.380,60.329,60.372,60.571,60.909,61.352,61.831,62.275,62.573,62.649,62.449,61.913,61.029,59.822,58.345,56.693,54.954,53.262,51.724,50.443,49.491,48.927,48.750,48.946,49.441,50.175,51.041,51.931,52.761,53.459,53.974,54.279,54.406,54.369,54.243,54.092,53.988,53.989,54.126,54.432,54.881,55.429,56.008,56.546,56.937,57.107,56.992,56.538,55.742,54.628,53.243,51.686,50.066,48.485,47.075,45.920,45.112,44.686,44.654,44.978,45.610,46.467,47.443,48.439,49.372,50.159,50.760,51.156,51.363,51.423,51.394,51.340,51.346,51.463,51.722,52.145,52.713,53.388,54.089,54.738,55.246,55.522,55.521,55.183,54.496,53.496,52.242,50.818,49.337,47.907,46.655,45.665,45.024,44.765,44.895,45.385,46.180,47.177,48.284,49.410,50.460,51.359,52.072,52.578,52.895,53.062,53.152,53.220,53.349,53.589,53.986,54.536,55.233,56.028,56.846,57.601,58.211,58.597,58.679,58.426,57.829,56.917,55.754,54.428,53.045,51.728,50.584,49.710,49.177,49.024,49.260,49.834,50.706,51.771,52.938,54.110,55.194,56.118,56.857,57.376,57.709,57.903,58.004,58.102,58.261,58.528,58.950,59.531,60.249,61.052,61.880,62.636,63.235,63.605,63.664,63.394,62.778,61.848,60.670,59.334,57.950,56.634,55.488,54.618,54.088,53.935,54.156,54.717,55.560,56.580,57.694,58.793,59.807,60.653,61.297,61.735,61.984,62.087,62.117,62.129,62.212,62.401,62.743,63.237,63.867,64.581,65.298,65.948,66.433,66.671,66.606,66.209,65.455,64.399,63.100,61.652,60.163,58.741,57.512,56.556,55.944,55.713,55.845,56.315,57.053,57.981,58.985,59.975,60.873,61.603,62.137,62.467,62.613,62.629,62.573</history>
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-06 00:00:00 to 2025-10-06 22:35:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the first 55 CPU load reading, from 2025-10-06 03:45:00 to 2025-10-06 04:30:00, were significantly higher than normal. After the firmware update on 2025-10-06 04:35:00, the CPU runs normally and reports normal loads.
Forecast the future 240 readings from this sensor, from 2025-10-06 22:40:00 to 2025-10-07 18:35:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template0/item3
|
GIFT synthesize
|
phase_change
|
5T
|
0.791,0.795,0.798,0.800,0.803,0.804,0.805,0.806,0.806,0.806,0.806,0.805,0.804,0.803,0.802,0.802,0.801,0.800,0.800,0.800,0.800,0.800,0.801,0.802,0.803,0.805,0.806,0.808,0.810,0.812,0.814,0.815,0.817,0.818,0.819,0.820,0.820,0.819,0.818,0.817,0.815,0.812,0.808,0.804,0.800,0.795,0.789,0.783,0.777,0.771,0.764,0.758,0.751,0.745,0.739,0.733,0.728,0.724,0.720,0.716,0.714,0.712,0.711,0.711,0.711,0.713,0.715,0.718,0.721,0.725,0.730,0.735,0.740,0.746,0.752,0.758,0.763,0.769,0.775,0.780,0.784,0.789,0.793,0.796,0.799,0.802,0.803,0.805,0.806,0.806,0.806,0.806,0.806,0.805,0.811,0.722,0.693,0.662,0.632,0.626,0.619,0.619,0.620,0.620,0.621,0.622,0.623,0.625,0.627,0.628,0.630,0.632,0.634,0.635,0.636,0.637,0.638,0.638,0.638,0.637,0.636,0.634,0.631,0.628,0.625,0.620,0.615,0.610,0.604,0.598,0.592,0.585,0.579,0.572,0.566,0.560,0.554,0.549,0.544,0.539,0.536,0.533,0.531,0.529,0.529,0.529,0.530,0.532,0.535,0.538,0.542,0.546,0.551,0.556,0.562,0.568,0.573,0.579,0.585,0.590,0.596,0.601,0.605,0.609,0.613,0.616
|
2025-10-07 00:00:00
|
2025-10-07 13:45:00
|
0.619,0.621,0.622,0.623,0.624,0.624,0.624,0.624,0.623,0.622,0.622,0.621,0.620,0.619,0.619,0.618,0.618,0.618,0.619,0.619,0.620,0.621,0.623,0.624,0.626,0.628,0.630,0.632,0.633,0.635,0.636,0.637,0.637,0.638,0.637,0.636,0.635,0.632,0.630,0.626,0.622,0.618,0.613,0.607,0.601,0.595,0.589,0.582,0.576,0.569,0.563,0.557,0.552,0.547,0.542,0.538,0.535,0.532,0.530,0.529,0.529,0.530,0.531,0.534,0.536,0.540,0.544,0.549,0.554,0.559,0.565,0.571,0.576,0.582,0.588,0.593,0.598,0.603,0.607,0.611,0.615,0.617,0.620,0.622,0.623,0.624,0.624,0.624,0.624,0.624
|
2025-10-07 13:50:00
|
2025-10-07 21:15:00
|
,
| 90
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 90 readings from this sensor, from 2025-10-07 13:50:00 to 2025-10-07 21:15:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-07 00:00:00 to 2025-10-07 13:45:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the CPU load was significantly higher than normal. After the firmware update, the CPU runs normally and reports normal loads.
|
<history>0.791,0.795,0.798,0.800,0.803,0.804,0.805,0.806,0.806,0.806,0.806,0.805,0.804,0.803,0.802,0.802,0.801,0.800,0.800,0.800,0.800,0.800,0.801,0.802,0.803,0.805,0.806,0.808,0.810,0.812,0.814,0.815,0.817,0.818,0.819,0.820,0.820,0.819,0.818,0.817,0.815,0.812,0.808,0.804,0.800,0.795,0.789,0.783,0.777,0.771,0.764,0.758,0.751,0.745,0.739,0.733,0.728,0.724,0.720,0.716,0.714,0.712,0.711,0.711,0.711,0.713,0.715,0.718,0.721,0.725,0.730,0.735,0.740,0.746,0.752,0.758,0.763,0.769,0.775,0.780,0.784,0.789,0.793,0.796,0.799,0.802,0.803,0.805,0.806,0.806,0.806,0.806,0.806,0.805,0.811,0.722,0.693,0.662,0.632,0.626,0.619,0.619,0.620,0.620,0.621,0.622,0.623,0.625,0.627,0.628,0.630,0.632,0.634,0.635,0.636,0.637,0.638,0.638,0.638,0.637,0.636,0.634,0.631,0.628,0.625,0.620,0.615,0.610,0.604,0.598,0.592,0.585,0.579,0.572,0.566,0.560,0.554,0.549,0.544,0.539,0.536,0.533,0.531,0.529,0.529,0.529,0.530,0.532,0.535,0.538,0.542,0.546,0.551,0.556,0.562,0.568,0.573,0.579,0.585,0.590,0.596,0.601,0.605,0.609,0.613,0.616</history>
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-07 00:00:00 to 2025-10-07 13:45:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the CPU load was significantly higher than normal. After the firmware update, the CPU runs normally and reports normal loads.
Forecast the future 90 readings from this sensor, from 2025-10-07 13:50:00 to 2025-10-07 21:15:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template1/item3
|
GIFT synthesize
|
phase_change
|
5T
|
48.538,48.623,48.706,48.795,48.874,48.960,49.047,49.128,49.213,49.294,49.378,49.464,49.546,49.630,49.716,49.799,49.876,49.964,50.048,50.129,50.214,50.295,50.382,50.466,50.548,50.632,50.717,50.795,50.879,50.963,51.041,51.126,51.212,51.294,51.373,51.456,51.541,51.618,51.702,51.782,51.863,51.945,52.028,52.107,52.191,52.270,52.352,52.433,52.514,52.592,52.673,52.751,52.832,52.913,52.995,53.070,53.149,53.227,53.308,53.391,53.465,53.538,53.621,53.700,53.775,53.853,53.931,54.008,54.083,54.164,54.236,54.314,54.388,54.468,54.542,54.616,54.690,54.764,54.843,54.915,54.988,55.064,55.137,55.210,55.284,55.358,55.433,55.503,55.574,55.648,55.717,55.790,55.857,55.932,56.004,56.075,56.144,56.210,56.279,56.351,56.421,56.484,56.555,56.619,56.694,56.758,56.826,56.894,56.959,57.023,57.091,57.155,57.221,57.282,57.349,57.414,57.479,57.542,57.604,57.664,57.730,57.789,57.853,57.914,57.978,58.037,58.096,58.157,58.213,58.273,58.336,58.391,58.452,58.511,58.566,58.621,58.678,58.734,58.793,58.847,58.902,58.955,59.013,59.062,59.113,59.173,59.221,59.279,59.332,59.376,59.431,59.480,59.533,59.581,59.628,59.678,59.726,59.773,59.823,59.871,59.916,59.964,60.009,60.048,60.102,60.148,60.190,60.234,60.279,60.318,60.362,60.401,60.444,60.491,60.525,60.568,60.609,60.650,60.687,60.724,60.764,60.802,58.355,50.931,50.970,51.004,51.042,51.076,51.108,51.143,51.174,51.208,51.242,51.271,51.306,51.335,51.367,51.400,51.424,51.457,51.486,51.509,51.539,51.566,51.590,51.619,51.643,51.668,51.695,51.720,51.741,51.768,51.790,51.809,51.830,51.853,51.875,51.895,51.914,51.935,51.952,51.969,51.989,52.004,52.020,52.038
|
2025-10-07 00:00:00
|
2025-10-07 18:45:00
|
52.049,52.066,52.081,52.096,52.110,52.124,52.138,52.150,52.157,52.167,52.181,52.192,52.199,52.208,52.217,52.226,52.234,52.242,52.245,52.252,52.259,52.262,52.265,52.271,52.276,52.278,52.279,52.280,52.283,52.286
|
2025-10-07 18:50:00
|
2025-10-07 21:15:00
|
,
| 30
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 30 readings from this sensor, from 2025-10-07 18:50:00 to 2025-10-07 21:15:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-07 00:00:00 to 2025-10-07 18:45:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the CPU load was significantly higher than normal. After the firmware update, the CPU runs normally and reports normal loads.
|
<history>48.538,48.623,48.706,48.795,48.874,48.960,49.047,49.128,49.213,49.294,49.378,49.464,49.546,49.630,49.716,49.799,49.876,49.964,50.048,50.129,50.214,50.295,50.382,50.466,50.548,50.632,50.717,50.795,50.879,50.963,51.041,51.126,51.212,51.294,51.373,51.456,51.541,51.618,51.702,51.782,51.863,51.945,52.028,52.107,52.191,52.270,52.352,52.433,52.514,52.592,52.673,52.751,52.832,52.913,52.995,53.070,53.149,53.227,53.308,53.391,53.465,53.538,53.621,53.700,53.775,53.853,53.931,54.008,54.083,54.164,54.236,54.314,54.388,54.468,54.542,54.616,54.690,54.764,54.843,54.915,54.988,55.064,55.137,55.210,55.284,55.358,55.433,55.503,55.574,55.648,55.717,55.790,55.857,55.932,56.004,56.075,56.144,56.210,56.279,56.351,56.421,56.484,56.555,56.619,56.694,56.758,56.826,56.894,56.959,57.023,57.091,57.155,57.221,57.282,57.349,57.414,57.479,57.542,57.604,57.664,57.730,57.789,57.853,57.914,57.978,58.037,58.096,58.157,58.213,58.273,58.336,58.391,58.452,58.511,58.566,58.621,58.678,58.734,58.793,58.847,58.902,58.955,59.013,59.062,59.113,59.173,59.221,59.279,59.332,59.376,59.431,59.480,59.533,59.581,59.628,59.678,59.726,59.773,59.823,59.871,59.916,59.964,60.009,60.048,60.102,60.148,60.190,60.234,60.279,60.318,60.362,60.401,60.444,60.491,60.525,60.568,60.609,60.650,60.687,60.724,60.764,60.802,58.355,50.931,50.970,51.004,51.042,51.076,51.108,51.143,51.174,51.208,51.242,51.271,51.306,51.335,51.367,51.400,51.424,51.457,51.486,51.509,51.539,51.566,51.590,51.619,51.643,51.668,51.695,51.720,51.741,51.768,51.790,51.809,51.830,51.853,51.875,51.895,51.914,51.935,51.952,51.969,51.989,52.004,52.020,52.038</history>
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-07 00:00:00 to 2025-10-07 18:45:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the CPU load was significantly higher than normal. After the firmware update, the CPU runs normally and reports normal loads.
Forecast the future 30 readings from this sensor, from 2025-10-07 18:50:00 to 2025-10-07 21:15:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template2/item3
|
GIFT synthesize
|
phase_change
|
5T
|
0.542,0.541,0.539,0.537,0.533,0.529,0.525,0.522,0.519,0.518,0.518,0.520,0.525,0.531,0.539,0.548,0.558,0.569,0.579,0.589,0.596,0.603,0.607,0.610,0.611,0.610,0.608,0.605,0.601,0.598,0.595,0.593,0.591,0.590,0.590,0.590,0.591,0.591,0.590,0.589,0.588,0.585,0.582,0.578,0.574,0.570,0.567,0.563,0.561,0.559,0.558,0.558,0.558,0.559,0.559,0.560,0.560,0.560,0.559,0.558,0.556,0.554,0.552,0.550,0.548,0.547,0.545,0.545,0.544,0.544,0.544,0.544,0.544,0.544,0.544,0.543,0.543,0.542,0.542,0.541,0.542,0.542,0.543,0.544,0.545,0.546,0.546,0.546,0.546,0.544,0.542,0.539,0.535,0.531,0.528,0.525,0.523,0.522,0.523,0.526,0.531,0.538,0.547,0.556,0.567,0.577,0.587,0.596,0.604,0.609,0.613,0.615,0.615,0.613,0.611,0.608,0.605,0.602,0.599,0.597,0.596,0.596,0.596,0.596,0.596,0.596,0.596,0.595,0.593,0.590,0.587,0.588,0.563,0.559,0.549,0.561,0.547,0.536,0.534,0.521,0.510,0.506,0.507,0.507,0.507,0.507,0.506,0.505,0.503,0.501,0.499,0.497,0.496,0.494,0.493,0.493,0.492,0.492,0.492,0.492,0.492,0.492,0.492,0.491,0.491,0.490,0.490,0.490,0.490,0.491,0.492,0.493,0.494,0.495,0.495,0.495,0.494,0.492,0.490,0.486,0.483,0.479,0.476,0.473,0.472,0.472,0.474,0.478,0.484,0.492,0.502,0.512,0.523,0.533,0.543,0.552,0.559,0.564,0.567,0.568,0.568,0.566,0.563,0.560,0.557,0.554,0.552,0.550,0.550,0.549,0.550,0.550,0.550,0.550,0.549,0.547,0.545,0.542,0.539,0.535,0.531,0.527,0.524,0.522,0.520,0.519,0.519,0.519,0.519,0.520,0.521,0.521,0.521,0.520
|
2025-10-07 00:00:00
|
2025-10-07 19:25:00
|
0.519,0.517,0.515,0.513,0.511,0.509,0.507,0.506,0.505,0.505,0.505,0.505,0.505,0.505,0.505,0.505,0.505,0.505,0.505,0.504,0.504,0.504,0.505,0.506,0.507,0.508,0.509,0.510,0.510,0.510,0.508,0.506,0.504,0.500,0.496,0.493,0.490,0.488,0.487,0.488,0.491,0.496,0.503,0.512,0.522,0.533,0.544,0.554,0.563,0.572,0.578,0.582,0.584,0.585,0.584,0.582,0.579,0.575,0.572,0.570,0.568,0.567,0.566,0.566,0.567,0.567,0.567,0.567,0.566,0.564,0.561,0.558,0.554,0.551,0.547,0.543,0.541,0.539,0.537,0.537,0.537,0.537,0.538,0.539,0.540,0.540,0.540,0.539,0.538,0.536,0.534,0.532,0.530,0.528,0.527,0.526,0.526,0.526,0.526,0.526,0.527,0.527,0.527,0.527,0.527,0.527,0.526,0.526,0.526,0.526,0.526,0.527,0.529,0.530,0.531,0.532,0.532,0.531,0.530,0.528,0.525,0.522,0.518,0.515,0.512,0.510,0.510,0.512,0.516,0.522,0.530,0.539,0.549,0.559,0.570,0.580,0.589,0.596,0.601,0.604,0.606,0.606,0.604,0.601,0.598,0.595,0.593,0.591,0.589,0.589
|
2025-10-07 19:30:00
|
2025-10-08 07:55:00
|
,
| 150
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 150 readings from this sensor, from 2025-10-07 19:30:00 to 2025-10-08 07:55:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-07 00:00:00 to 2025-10-07 19:25:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the CPU load was significantly higher than normal. After the firmware update, the CPU runs normally and reports normal loads.
|
<history>0.542,0.541,0.539,0.537,0.533,0.529,0.525,0.522,0.519,0.518,0.518,0.520,0.525,0.531,0.539,0.548,0.558,0.569,0.579,0.589,0.596,0.603,0.607,0.610,0.611,0.610,0.608,0.605,0.601,0.598,0.595,0.593,0.591,0.590,0.590,0.590,0.591,0.591,0.590,0.589,0.588,0.585,0.582,0.578,0.574,0.570,0.567,0.563,0.561,0.559,0.558,0.558,0.558,0.559,0.559,0.560,0.560,0.560,0.559,0.558,0.556,0.554,0.552,0.550,0.548,0.547,0.545,0.545,0.544,0.544,0.544,0.544,0.544,0.544,0.544,0.543,0.543,0.542,0.542,0.541,0.542,0.542,0.543,0.544,0.545,0.546,0.546,0.546,0.546,0.544,0.542,0.539,0.535,0.531,0.528,0.525,0.523,0.522,0.523,0.526,0.531,0.538,0.547,0.556,0.567,0.577,0.587,0.596,0.604,0.609,0.613,0.615,0.615,0.613,0.611,0.608,0.605,0.602,0.599,0.597,0.596,0.596,0.596,0.596,0.596,0.596,0.596,0.595,0.593,0.590,0.587,0.588,0.563,0.559,0.549,0.561,0.547,0.536,0.534,0.521,0.510,0.506,0.507,0.507,0.507,0.507,0.506,0.505,0.503,0.501,0.499,0.497,0.496,0.494,0.493,0.493,0.492,0.492,0.492,0.492,0.492,0.492,0.492,0.491,0.491,0.490,0.490,0.490,0.490,0.491,0.492,0.493,0.494,0.495,0.495,0.495,0.494,0.492,0.490,0.486,0.483,0.479,0.476,0.473,0.472,0.472,0.474,0.478,0.484,0.492,0.502,0.512,0.523,0.533,0.543,0.552,0.559,0.564,0.567,0.568,0.568,0.566,0.563,0.560,0.557,0.554,0.552,0.550,0.550,0.549,0.550,0.550,0.550,0.550,0.549,0.547,0.545,0.542,0.539,0.535,0.531,0.527,0.524,0.522,0.520,0.519,0.519,0.519,0.519,0.520,0.521,0.521,0.521,0.520</history>
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-07 00:00:00 to 2025-10-07 19:25:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the CPU load was significantly higher than normal. After the firmware update, the CPU runs normally and reports normal loads.
Forecast the future 150 readings from this sensor, from 2025-10-07 19:30:00 to 2025-10-08 07:55:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template3/item3
|
GIFT synthesize
|
phase_change
|
5T
|
79.630,79.587,79.548,79.511,81.308,86.100,90.906,89.415,84.535,79.669,79.250,79.211,79.180,79.134,79.106,79.062,79.029,78.986,78.950,78.916,78.879,78.839,78.799,78.760,78.731,78.689,78.648,78.619,78.576,78.535,78.501,78.469,78.429,78.396,78.356,78.324,78.574,83.379,88.172,89.751,84.870,80.000,78.054,78.027,77.989,77.949,77.904,77.875,77.842,77.801,77.770,77.734,77.693,77.658,77.614,77.581,77.542,77.512,77.469,77.433,77.404,77.367,77.325,77.283,77.253,77.218,77.187,77.140,77.112,80.682,85.485,90.109,85.234,80.360,76.891,76.857,76.822,76.786,76.755,76.717,76.673,76.645,76.605,76.568,76.531,76.493,76.466,76.429,76.395,76.361,76.326,76.288,76.255,76.220,76.187,76.154,76.113,76.085,76.050,76.014,75.979,78.029,82.827,87.631,85.639,80.766,75.898,75.742,75.703,75.675,75.637,75.609,75.565,75.531,75.499,75.470,75.441,75.404,75.375,75.338,75.306,75.268,75.240,75.197,75.178,75.136,75.103,75.074,75.037,75.010,74.982,74.938,74.914,75.434,80.239,85.045,86.107,81.238,76.361,74.691,74.657,74.627,74.595,74.563,74.529,74.501,74.472,74.443,74.404,74.379,74.339,74.318,74.283,74.254,74.222,74.196,74.163,74.135,74.104,74.074,74.047,74.015,73.982,73.955,73.919,73.891,77.739,82.543,86.657,81.790,76.922,73.723,73.689,73.664,73.636,73.605,73.579,73.550,73.524,73.497,73.472,73.438,73.408,73.385,73.356,73.332,73.307,73.275,73.247,73.222,73.193,73.165,73.144,73.112,73.086,73.062,73.036,73.008,75.324,80.133,84.951,82.449,62.965,58.246,58.987,59.689,60.317,60.846,61.227,61.457,61.434,61.410,61.383,61.363,61.336,61.315,61.290,61.266,61.241,61.225,61.195,61.173,61.154,61.127,61.104,61.081,61.062,61.034,61.018,60.992,61.783,66.594,71.414,71.968
|
2025-10-06 00:00:00
|
2025-10-06 19:25:00
|
67.111,62.248,60.842,60.818,60.794,60.773,60.758,60.736,60.712,60.693,60.674,60.647,60.635,60.616,60.590,60.572,60.556,60.534,60.508,60.490,60.474,60.456,60.439,60.418,60.399,60.385,60.361,60.346,60.322,64.428,69.252,72.866,68.005,63.156,60.222,60.205,60.188,60.166,60.151,60.141,60.122,60.105,60.095,60.074,60.063,60.043,60.030,60.015,59.992,59.981,59.968,59.951,59.935,59.923,59.905,59.898,59.884,59.867,59.856,59.843,59.826,62.398,67.234,72.058,69.055,64.198,59.745,59.730,59.715,59.711,59.694,59.688,59.670,59.658,59.653,59.632,59.628,59.608,59.603,59.593,59.585,59.579,59.567,59.554,59.544,59.523,59.525,59.511,59.507,59.490,59.474,59.476,59.472,60.524,65.352,70.190,70.242,65.394,60.545,59.411,59.391,59.388,59.382,59.380,59.371,59.366,59.355,59.352,59.343,59.335,59.335,59.325,59.316,59.311,59.309,59.298,59.294,59.294,59.287,59.290,59.274,59.269,59.272,59.265,59.260,59.253,63.629,68.467,71.577,66.739,61.898,59.233,59.235,59.234,59.232,59.225,59.221,59.222,59.223,59.217,59.216,59.223,59.212,59.208,59.220,59.211,59.206,59.210,59.207,59.216
|
2025-10-06 19:30:00
|
2025-10-07 07:55:00
|
,
| 150
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 150 readings from this sensor, from 2025-10-06 19:30:00 to 2025-10-07 07:55:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-06 00:00:00 to 2025-10-06 19:25:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the CPU load was significantly higher than normal. After the firmware update, the CPU runs normally and reports normal loads.
|
<history>79.630,79.587,79.548,79.511,81.308,86.100,90.906,89.415,84.535,79.669,79.250,79.211,79.180,79.134,79.106,79.062,79.029,78.986,78.950,78.916,78.879,78.839,78.799,78.760,78.731,78.689,78.648,78.619,78.576,78.535,78.501,78.469,78.429,78.396,78.356,78.324,78.574,83.379,88.172,89.751,84.870,80.000,78.054,78.027,77.989,77.949,77.904,77.875,77.842,77.801,77.770,77.734,77.693,77.658,77.614,77.581,77.542,77.512,77.469,77.433,77.404,77.367,77.325,77.283,77.253,77.218,77.187,77.140,77.112,80.682,85.485,90.109,85.234,80.360,76.891,76.857,76.822,76.786,76.755,76.717,76.673,76.645,76.605,76.568,76.531,76.493,76.466,76.429,76.395,76.361,76.326,76.288,76.255,76.220,76.187,76.154,76.113,76.085,76.050,76.014,75.979,78.029,82.827,87.631,85.639,80.766,75.898,75.742,75.703,75.675,75.637,75.609,75.565,75.531,75.499,75.470,75.441,75.404,75.375,75.338,75.306,75.268,75.240,75.197,75.178,75.136,75.103,75.074,75.037,75.010,74.982,74.938,74.914,75.434,80.239,85.045,86.107,81.238,76.361,74.691,74.657,74.627,74.595,74.563,74.529,74.501,74.472,74.443,74.404,74.379,74.339,74.318,74.283,74.254,74.222,74.196,74.163,74.135,74.104,74.074,74.047,74.015,73.982,73.955,73.919,73.891,77.739,82.543,86.657,81.790,76.922,73.723,73.689,73.664,73.636,73.605,73.579,73.550,73.524,73.497,73.472,73.438,73.408,73.385,73.356,73.332,73.307,73.275,73.247,73.222,73.193,73.165,73.144,73.112,73.086,73.062,73.036,73.008,75.324,80.133,84.951,82.449,62.965,58.246,58.987,59.689,60.317,60.846,61.227,61.457,61.434,61.410,61.383,61.363,61.336,61.315,61.290,61.266,61.241,61.225,61.195,61.173,61.154,61.127,61.104,61.081,61.062,61.034,61.018,60.992,61.783,66.594,71.414,71.968</history>
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-06 00:00:00 to 2025-10-06 19:25:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the CPU load was significantly higher than normal. After the firmware update, the CPU runs normally and reports normal loads.
Forecast the future 150 readings from this sensor, from 2025-10-06 19:30:00 to 2025-10-07 07:55:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template4/item3
|
GIFT synthesize
|
phase_change
|
5T
|
91.097,89.218,87.351,85.623,84.147,82.980,82.194,81.790,81.761,82.049,82.576,83.253,83.974,84.649,85.194,85.575,85.751,85.738,85.568,85.295,84.993,84.722,84.539,84.494,84.603,84.849,85.200,85.600,85.955,86.179,86.185,85.910,85.310,84.365,83.085,81.543,79.810,77.986,76.196,74.560,73.158,72.093,71.408,71.111,71.184,71.572,72.196,72.643,72.510,71.699,70.147,67.784,64.611,60.613,55.843,55.639,57.841,59.380,60.329,60.372,60.571,60.909,61.352,61.831,62.275,62.573,62.649,62.449,61.913,61.029,59.822,58.345,56.693,54.954,53.262,51.724,50.443,49.491,48.927,48.750,48.946,49.441,50.175,51.041,51.931,52.761,53.459,53.974,54.279,54.406,54.369,54.243,54.092,53.988,53.989,54.126,54.432,54.881,55.429,56.008,56.546,56.937,57.107,56.992,56.538,55.742,54.628,53.243,51.686,50.066,48.485,47.075,45.920,45.112,44.686,44.654,44.978,45.610,46.467,47.443,48.439,49.372,50.159,50.760,51.156,51.363,51.423,51.394,51.340,51.346,51.463,51.722,52.145,52.713,53.388,54.089,54.738,55.246,55.522,55.521,55.183,54.496,53.496,52.242,50.818,49.337,47.907,46.655,45.665,45.024,44.765,44.895,45.385,46.180,47.177,48.284,49.410,50.460,51.359,52.072,52.578,52.895,53.062,53.152,53.220,53.349,53.589,53.986,54.536,55.233,56.028,56.846,57.601,58.211,58.597,58.679,58.426,57.829,56.917,55.754,54.428,53.045,51.728,50.584,49.710,49.177,49.024,49.260,49.834,50.706,51.771,52.938,54.110,55.194,56.118,56.857,57.376,57.709,57.903,58.004,58.102,58.261,58.528,58.950,59.531,60.249,61.052,61.880,62.636,63.235,63.605,63.664,63.394,62.778,61.848,60.670,59.334,57.950,56.634,55.488,54.618,54.088,53.935,54.156,54.717,55.560,56.580,57.694,58.793,59.807,60.653,61.297,61.735,61.984,62.087,62.117,62.129,62.212,62.401,62.743,63.237,63.867,64.581,65.298,65.948,66.433,66.671,66.606,66.209,65.455,64.399,63.100,61.652,60.163,58.741,57.512,56.556,55.944,55.713,55.845,56.315,57.053,57.981,58.985,59.975,60.873,61.603,62.137,62.467,62.613,62.629,62.573
|
2025-10-06 00:00:00
|
2025-10-06 22:35:00
|
62.516,62.530,62.663,62.940,63.383,63.956,64.609,65.276,65.858,66.284,66.466,66.339,65.890,65.095,64.009,62.688,61.221,59.730,58.316,57.096,56.160,55.564,55.338,55.479,55.951,56.685,57.594,58.584,59.548,60.410,61.118,61.618,61.924,62.046,62.044,61.979,61.911,61.924,62.053,62.337,62.778,63.342,63.984,64.630,65.194,65.590,65.732,65.575,65.087,64.266,63.155,61.816,60.346,58.849,57.443,56.240,55.311,54.728,54.528,54.680,55.160,55.895,56.804,57.778,58.724,59.570,60.253,60.736,61.027,61.138,61.131,61.065,61.005,61.019,61.165,61.456,61.901,62.467,63.104,63.735,64.273,64.647,64.767,64.577,64.057,63.207,62.070,60.719,59.248,57.743,56.354,55.164,54.256,53.695,53.509,53.677,54.180,54.919,55.831,56.794,57.740,58.580,59.248,59.724,60.007,60.121,60.116,60.060,60.013,60.045,60.200,60.507,60.962,61.541,62.176,62.795,63.321,63.668,63.753,63.536,62.983,62.106,60.939,59.564,58.076,56.578,55.182,53.997,53.109,52.567,52.392,52.580,53.078,53.832,54.738,55.705,56.638,57.461,58.120,58.578,58.849,58.956,58.945,58.886,58.853,58.889,59.057,59.370,59.827,60.403,61.029,61.637,62.135,62.452,62.505,62.247,61.653,60.733,59.535,58.132,56.620,55.104,53.709,52.524,51.638,51.100,50.943,51.147,51.656,52.410,53.316,54.282,55.204,56.020,56.668,57.116,57.380,57.478,57.468,57.415,57.381,57.430,57.603,57.931,58.397,58.971,59.589,60.186,60.665,60.950,60.967,60.674,60.041,59.081,57.847,56.412,54.872,53.347,51.940,50.760,49.878,49.357,49.213,49.432,49.956,50.720,51.635,52.592,53.520,54.321,54.959,55.409,55.654,55.751,55.740,55.688,55.661,55.726,55.909,56.240,56.716,57.290,57.917,58.499,58.962,59.223,59.212,58.872,58.201,57.204,55.932,54.466,52.907,51.359,49.949,48.768,47.901,47.394,47.267,47.503
|
2025-10-06 22:40:00
|
2025-10-07 18:35:00
|
,
| 240
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future 240 readings from this sensor, from 2025-10-06 22:40:00 to 2025-10-07 18:35:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-06 00:00:00 to 2025-10-06 22:35:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the CPU load was significantly higher than normal. After the firmware update, the CPU runs normally and reports normal loads.
|
<history>91.097,89.218,87.351,85.623,84.147,82.980,82.194,81.790,81.761,82.049,82.576,83.253,83.974,84.649,85.194,85.575,85.751,85.738,85.568,85.295,84.993,84.722,84.539,84.494,84.603,84.849,85.200,85.600,85.955,86.179,86.185,85.910,85.310,84.365,83.085,81.543,79.810,77.986,76.196,74.560,73.158,72.093,71.408,71.111,71.184,71.572,72.196,72.643,72.510,71.699,70.147,67.784,64.611,60.613,55.843,55.639,57.841,59.380,60.329,60.372,60.571,60.909,61.352,61.831,62.275,62.573,62.649,62.449,61.913,61.029,59.822,58.345,56.693,54.954,53.262,51.724,50.443,49.491,48.927,48.750,48.946,49.441,50.175,51.041,51.931,52.761,53.459,53.974,54.279,54.406,54.369,54.243,54.092,53.988,53.989,54.126,54.432,54.881,55.429,56.008,56.546,56.937,57.107,56.992,56.538,55.742,54.628,53.243,51.686,50.066,48.485,47.075,45.920,45.112,44.686,44.654,44.978,45.610,46.467,47.443,48.439,49.372,50.159,50.760,51.156,51.363,51.423,51.394,51.340,51.346,51.463,51.722,52.145,52.713,53.388,54.089,54.738,55.246,55.522,55.521,55.183,54.496,53.496,52.242,50.818,49.337,47.907,46.655,45.665,45.024,44.765,44.895,45.385,46.180,47.177,48.284,49.410,50.460,51.359,52.072,52.578,52.895,53.062,53.152,53.220,53.349,53.589,53.986,54.536,55.233,56.028,56.846,57.601,58.211,58.597,58.679,58.426,57.829,56.917,55.754,54.428,53.045,51.728,50.584,49.710,49.177,49.024,49.260,49.834,50.706,51.771,52.938,54.110,55.194,56.118,56.857,57.376,57.709,57.903,58.004,58.102,58.261,58.528,58.950,59.531,60.249,61.052,61.880,62.636,63.235,63.605,63.664,63.394,62.778,61.848,60.670,59.334,57.950,56.634,55.488,54.618,54.088,53.935,54.156,54.717,55.560,56.580,57.694,58.793,59.807,60.653,61.297,61.735,61.984,62.087,62.117,62.129,62.212,62.401,62.743,63.237,63.867,64.581,65.298,65.948,66.433,66.671,66.606,66.209,65.455,64.399,63.100,61.652,60.163,58.741,57.512,56.556,55.944,55.713,55.845,56.315,57.053,57.981,58.985,59.975,60.873,61.603,62.137,62.467,62.613,62.629,62.573</history>
This time series records the CPU usage of a newly installed data center. The data was recorded from 2025-10-06 00:00:00 to 2025-10-06 22:35:00, and the recording frequency is 5 minutes (5T). Due to an outdated firmware, the CPU load was significantly higher than normal. After the firmware update, the CPU runs normally and reports normal loads.
Forecast the future 240 readings from this sensor, from 2025-10-06 22:40:00 to 2025-10-07 18:35:00, given that the firmware has been updated.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template0/item3
|
GIFT synthesize
|
anomaly
|
T
|
9.781,9.765,9.776,9.768,9.773,30.031,30.039,30.030,30.017,30.055,30.051,9.818,9.791,9.798,9.844,9.847,9.845,9.871,9.874,9.897,9.921,9.904,9.930,9.926,30.219,30.246,30.247,30.277,30.276,10.036,10.063,10.068,10.121,10.113,10.130,10.144,10.191,10.207,10.237,10.255,10.291,10.318,10.363,30.611,30.662,30.684,30.716,30.774,10.539,10.541,10.609,10.621,16.701,22.740,28.656,34.406,39.975,45.297,50.327,55.008,59.343,63.253,86.954,89.944,92.446,94.404,95.823,76.455,76.486,76.521,76.181,75.078,73.204,70.543,67.112,62.921,57.942,52.214,45.707,38.411,50.619,41.803,32.236,32.284,32.319,12.136,12.180,12.232,12.290,12.346,12.411,12.470,12.527,12.570,12.659,12.708,12.780,12.842,12.911,33.230,33.302,33.382,33.426,33.497,13.292,13.378,13.445,13.489,13.579,13.665,13.703,13.774,13.863,13.938,14.027,14.094,14.159,14.239,34.544,32.338,18.414,43.076,12.775,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,2.377,9.036,0.000,0.000,4.513,8.385,11.571,14.085,15.888,17.020,17.112,17.225,17.322,17.417,17.529,37.897,37.988,38.078,38.203,38.279,18.134,18.238,18.316,18.443,18.562,18.666,18.762,18.877,18.971,19.095,19.215,19.302,19.431,19.558,39.927,40.045,40.148,40.238,40.364,20.259,20.357,20.461,20.587,20.691,20.838,20.952,21.067,21.189,21.303,21.445,21.544,21.686,21.829,42.180,42.337,42.448
|
2025-10-10 00:00:00
|
2025-10-10 03:15:00
|
42.589,42.700,22.569,22.703,22.846,22.965,23.125,23.245,23.362,23.510,23.635,23.787,23.918,24.031,24.176,44.565,44.707,44.882,45.002,45.113,25.021,25.154,25.286,25.444,25.578,25.740,25.880,26.043,26.160,26.316,26.472,26.602,26.737,26.887,47.313,47.456,47.612,47.759,47.929,27.795,27.980,28.120,28.250,28.428,28.589,28.756,28.917,29.065,29.226,29.382,29.550,29.694,29.878,50.284,50.457,50.620,50.787,50.945,30.831,31.029
|
2025-10-10 03:16:00
|
2025-10-10 04:15:00
|
,
| 60
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the CPU usage over the next 60 minutes, from 2025-10-10 03:16:00 to 2025-10-10 04:15:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 03:15:00 with the minute (T) frequency. Due to a firmware's bug, the readings from 2025-10-10 00:50:00 to 2025-10-10 01:22:00 and 2025-10-10 01:58:00 to 2025-10-10 02:29:00 were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
|
<history>9.781,9.765,9.776,9.768,9.773,30.031,30.039,30.030,30.017,30.055,30.051,9.818,9.791,9.798,9.844,9.847,9.845,9.871,9.874,9.897,9.921,9.904,9.930,9.926,30.219,30.246,30.247,30.277,30.276,10.036,10.063,10.068,10.121,10.113,10.130,10.144,10.191,10.207,10.237,10.255,10.291,10.318,10.363,30.611,30.662,30.684,30.716,30.774,10.539,10.541,10.609,10.621,16.701,22.740,28.656,34.406,39.975,45.297,50.327,55.008,59.343,63.253,86.954,89.944,92.446,94.404,95.823,76.455,76.486,76.521,76.181,75.078,73.204,70.543,67.112,62.921,57.942,52.214,45.707,38.411,50.619,41.803,32.236,32.284,32.319,12.136,12.180,12.232,12.290,12.346,12.411,12.470,12.527,12.570,12.659,12.708,12.780,12.842,12.911,33.230,33.302,33.382,33.426,33.497,13.292,13.378,13.445,13.489,13.579,13.665,13.703,13.774,13.863,13.938,14.027,14.094,14.159,14.239,34.544,32.338,18.414,43.076,12.775,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,2.377,9.036,0.000,0.000,4.513,8.385,11.571,14.085,15.888,17.020,17.112,17.225,17.322,17.417,17.529,37.897,37.988,38.078,38.203,38.279,18.134,18.238,18.316,18.443,18.562,18.666,18.762,18.877,18.971,19.095,19.215,19.302,19.431,19.558,39.927,40.045,40.148,40.238,40.364,20.259,20.357,20.461,20.587,20.691,20.838,20.952,21.067,21.189,21.303,21.445,21.544,21.686,21.829,42.180,42.337,42.448</history>
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 03:15:00 with the minute (T) frequency. Due to a firmware's bug, the readings from 2025-10-10 00:50:00 to 2025-10-10 01:22:00 and 2025-10-10 01:58:00 to 2025-10-10 02:29:00 were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
Forecast the CPU usage over the next 60 minutes, from 2025-10-10 03:16:00 to 2025-10-10 04:15:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template1/item3
|
GIFT synthesize
|
anomaly
|
T
|
100.000,98.332,96.588,94.913,93.262,91.586,89.941,88.311,100.000,100.000,100.000,100.000,80.338,78.817,77.311,75.748,74.284,72.798,71.297,69.853,68.441,66.987,65.606,64.234,62.850,61.556,60.211,58.900,57.666,56.400,55.113,53.917,52.693,51.549,50.342,49.214,48.102,96.517,95.461,94.415,67.549,65.419,22.123,18.820,42.444,26.184,52.321,25.428,45.611,62.141,21.484,13.767,29.650,32.460,24.369,3.242,25.325,13.982,6.739,51.194,9.130,33.668,43.946,54.331,18.990,12.805,67.573,56.831,66.171,91.823,51.539,44.165,0.000,18.818,39.115,32.655,4.603,4.630,25.228,25.357,25.559,25.719,25.951,26.236,26.545,26.912,27.266,27.651,28.091,28.517,29.000,29.513,30.008,30.604,31.161,81.293,81.926,82.596,83.225,34.413,35.125,35.876,36.553,37.388,38.151,38.931,39.745,40.554,41.422,42.244,43.084,43.971,44.861,45.718,46.596,47.506,48.418,49.305,50.209,51.106,52.012,52.959,53.870,54.788,100.000,100.000,100.000,100.000,59.377,60.256,61.156,62.086,62.928,63.801,64.701,65.540,66.360,67.204,68.000,68.874,69.636,70.408,71.199,71.916,72.614,73.348,74.083,74.687,75.348,75.975,76.576,77.133,77.719,100.000,100.000,100.000,100.000,100.000,80.477,80.859,81.230,81.486,81.770,82.057,82.190,81.834,77.005,67.686,54.892,48.796,44.496,45.047,45.033,45.019,49.299,53.338,57.076,60.590,63.763,66.746,69.430,71.832,100.000,100.000,100.000,100.000,100.000,80.755,81.289,81.548,81.387,81.262,81.128,80.971,80.815,80.694,80.461,80.269,80.150,79.973,79.729,79.514,79.318,79.070,78.825,78.623
|
2025-10-10 00:00:00
|
2025-10-10 03:25:00
|
78.396,78.080,77.816,77.553,77.263,100.000,100.000,100.000,100.000,100.000,75.325,75.014,74.617,74.205,73.889,73.494,73.066,72.659,72.244,71.804,71.330,70.869,70.429,69.935,69.469,68.939,68.460,67.951,67.422,66.880,66.352,65.734,65.206,64.590,100.000,100.000,100.000,100.000,100.000,60.808,60.134,59.457,58.762,58.065,57.325,56.596,55.839,55.059,54.279,53.520
|
2025-10-10 03:26:00
|
2025-10-10 04:15:00
|
,
| 50
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the CPU usage over the next 50 minutes, from 2025-10-10 03:26:00 to 2025-10-10 04:15:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 03:25:00 with the minute (T) frequency. Due to a firmware's bug, the readings from 2025-10-10 00:39:00 to 2025-10-10 01:17:00 and 2025-10-10 02:44:00 to 2025-10-10 03:09:00 were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
|
<history>100.000,98.332,96.588,94.913,93.262,91.586,89.941,88.311,100.000,100.000,100.000,100.000,80.338,78.817,77.311,75.748,74.284,72.798,71.297,69.853,68.441,66.987,65.606,64.234,62.850,61.556,60.211,58.900,57.666,56.400,55.113,53.917,52.693,51.549,50.342,49.214,48.102,96.517,95.461,94.415,67.549,65.419,22.123,18.820,42.444,26.184,52.321,25.428,45.611,62.141,21.484,13.767,29.650,32.460,24.369,3.242,25.325,13.982,6.739,51.194,9.130,33.668,43.946,54.331,18.990,12.805,67.573,56.831,66.171,91.823,51.539,44.165,0.000,18.818,39.115,32.655,4.603,4.630,25.228,25.357,25.559,25.719,25.951,26.236,26.545,26.912,27.266,27.651,28.091,28.517,29.000,29.513,30.008,30.604,31.161,81.293,81.926,82.596,83.225,34.413,35.125,35.876,36.553,37.388,38.151,38.931,39.745,40.554,41.422,42.244,43.084,43.971,44.861,45.718,46.596,47.506,48.418,49.305,50.209,51.106,52.012,52.959,53.870,54.788,100.000,100.000,100.000,100.000,59.377,60.256,61.156,62.086,62.928,63.801,64.701,65.540,66.360,67.204,68.000,68.874,69.636,70.408,71.199,71.916,72.614,73.348,74.083,74.687,75.348,75.975,76.576,77.133,77.719,100.000,100.000,100.000,100.000,100.000,80.477,80.859,81.230,81.486,81.770,82.057,82.190,81.834,77.005,67.686,54.892,48.796,44.496,45.047,45.033,45.019,49.299,53.338,57.076,60.590,63.763,66.746,69.430,71.832,100.000,100.000,100.000,100.000,100.000,80.755,81.289,81.548,81.387,81.262,81.128,80.971,80.815,80.694,80.461,80.269,80.150,79.973,79.729,79.514,79.318,79.070,78.825,78.623</history>
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 03:25:00 with the minute (T) frequency. Due to a firmware's bug, the readings from 2025-10-10 00:39:00 to 2025-10-10 01:17:00 and 2025-10-10 02:44:00 to 2025-10-10 03:09:00 were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
Forecast the CPU usage over the next 50 minutes, from 2025-10-10 03:26:00 to 2025-10-10 04:15:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template2/item3
|
GIFT synthesize
|
anomaly
|
T
|
66.345,69.288,72.639,75.996,79.358,82.712,81.034,77.268,73.470,69.675,65.886,63.957,63.767,63.553,63.333,63.132,62.928,62.716,62.507,62.291,62.101,61.889,61.697,61.462,61.275,61.060,60.872,60.668,60.461,60.254,60.053,59.856,59.656,59.460,59.277,60.764,64.154,67.523,70.895,74.292,75.563,71.804,68.016,64.250,60.473,57.114,56.933,56.720,56.535,56.346,56.161,55.965,55.784,55.591,55.398,55.226,55.021,54.855,54.653,54.463,54.275,54.104,53.917,53.736,53.559,53.384,53.188,53.020,52.843,52.902,56.286,59.682,63.109,66.491,69.895,66.975,63.220,59.455,55.711,51.985,50.735,50.548,50.384,50.200,50.035,49.864,49.690,49.524,49.363,49.191,49.031,48.878,48.692,48.529,48.374,48.201,48.029,47.870,47.711,47.564,47.404,47.222,47.068,46.915,49.084,52.518,55.930,59.348,62.764,62.812,59.075,55.346,51.607,47.874,45.163,45.028,44.877,44.725,44.572,44.431,44.274,44.129,39.693,44.737,45.256,40.329,44.133,48.476,41.838,39.325,47.271,38.316,36.550,46.973,49.085,47.174,41.964,41.799,42.552,45.970,49.420,52.858,56.289,59.290,55.584,51.866,48.151,44.436,40.721,40.171,40.028,39.900,39.764,39.634,39.510,39.385,39.243,39.120,38.994,38.869,38.735,38.624,38.481,38.349,38.207,38.106,37.974,37.861,37.721,37.607,37.490,37.386,37.245,40.097,43.568,47.008,50.466,53.940,52.745,49.044,45.361,41.648,37.966,35.948,35.833,35.726,35.619,35.496,35.379,35.259,35.157,35.033,34.958,34.829,34.718,34.618,34.506,34.405,34.309,34.199,34.090,33.977,33.885,33.765,33.677,33.564,33.464,34.869,38.372,41.827,45.319,48.797,50.551,46.876,43.185,39.511,35.840,32.402,32.292,32.186,32.110,31.993,31.923,31.822,31.737,31.645,31.550,31.465,31.386,31.273,31.193,31.114,31.017,30.919,30.852,30.753,30.673,30.605,30.502,30.435,29.742,27.900,28.369,27.640,25.718,22.576,18.241,15.798,12.141,8.476,3.656,0.000,4.263,1.789,8.459,5.858,6.776,10.503,13.761,9.645,15.223,11.657,21.013,18.580,17.124,23.178
|
2025-10-10 00:00:00
|
2025-10-10 04:25:00
|
17.117,18.914,20.301,24.675,26.943,21.736,25.221,22.581,27.862,27.799,29.910,33.415,36.927,40.439,43.965,44.484,40.820,37.219,33.575,29.915,27.142,27.110,27.044,26.980,26.920,26.878,26.809,26.785,26.723,26.679,26.613,26.586,26.520,26.460,26.414,26.364,26.323,26.271,26.219,26.185,26.133,26.099,26.051,26.014,26.646,30.173,33.695,37.249,40.790,44.251,40.636,37.024,33.414,29.805,26.190,25.515,25.497,25.435,25.422,25.389,25.349,25.335,25.300,25.244,25.208,25.184,25.154,25.130,25.096,25.063,25.041,25.012,24.991,24.965,24.935,24.911,24.870,24.863,24.852,27.600,31.166,34.701,38.270,41.810,41.100,37.511,33.895,30.308,26.703,24.598,24.592,24.565,24.563,24.525,24.518,24.520,24.479,24.475,24.455,24.464,24.443,24.421,24.415,24.411,24.402,24.397,24.401,24.378,24.376,24.368,24.365,24.356,24.351,25.687,29.249,32.827,36.376,39.972,42.190,38.609
|
2025-10-10 04:26:00
|
2025-10-10 06:25:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the CPU usage over the next 120 minutes, from 2025-10-10 04:26:00 to 2025-10-10 06:25:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 04:25:00 with the minute (T) frequency. Due to a firmware's bug, the readings from 2025-10-10 02:01:00 to 2025-10-10 02:15:00 and 2025-10-10 03:58:00 to 2025-10-10 04:33:00 were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
|
<history>66.345,69.288,72.639,75.996,79.358,82.712,81.034,77.268,73.470,69.675,65.886,63.957,63.767,63.553,63.333,63.132,62.928,62.716,62.507,62.291,62.101,61.889,61.697,61.462,61.275,61.060,60.872,60.668,60.461,60.254,60.053,59.856,59.656,59.460,59.277,60.764,64.154,67.523,70.895,74.292,75.563,71.804,68.016,64.250,60.473,57.114,56.933,56.720,56.535,56.346,56.161,55.965,55.784,55.591,55.398,55.226,55.021,54.855,54.653,54.463,54.275,54.104,53.917,53.736,53.559,53.384,53.188,53.020,52.843,52.902,56.286,59.682,63.109,66.491,69.895,66.975,63.220,59.455,55.711,51.985,50.735,50.548,50.384,50.200,50.035,49.864,49.690,49.524,49.363,49.191,49.031,48.878,48.692,48.529,48.374,48.201,48.029,47.870,47.711,47.564,47.404,47.222,47.068,46.915,49.084,52.518,55.930,59.348,62.764,62.812,59.075,55.346,51.607,47.874,45.163,45.028,44.877,44.725,44.572,44.431,44.274,44.129,39.693,44.737,45.256,40.329,44.133,48.476,41.838,39.325,47.271,38.316,36.550,46.973,49.085,47.174,41.964,41.799,42.552,45.970,49.420,52.858,56.289,59.290,55.584,51.866,48.151,44.436,40.721,40.171,40.028,39.900,39.764,39.634,39.510,39.385,39.243,39.120,38.994,38.869,38.735,38.624,38.481,38.349,38.207,38.106,37.974,37.861,37.721,37.607,37.490,37.386,37.245,40.097,43.568,47.008,50.466,53.940,52.745,49.044,45.361,41.648,37.966,35.948,35.833,35.726,35.619,35.496,35.379,35.259,35.157,35.033,34.958,34.829,34.718,34.618,34.506,34.405,34.309,34.199,34.090,33.977,33.885,33.765,33.677,33.564,33.464,34.869,38.372,41.827,45.319,48.797,50.551,46.876,43.185,39.511,35.840,32.402,32.292,32.186,32.110,31.993,31.923,31.822,31.737,31.645,31.550,31.465,31.386,31.273,31.193,31.114,31.017,30.919,30.852,30.753,30.673,30.605,30.502,30.435,29.742,27.900,28.369,27.640,25.718,22.576,18.241,15.798,12.141,8.476,3.656,0.000,4.263,1.789,8.459,5.858,6.776,10.503,13.761,9.645,15.223,11.657,21.013,18.580,17.124,23.178</history>
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 04:25:00 with the minute (T) frequency. Due to a firmware's bug, the readings from 2025-10-10 02:01:00 to 2025-10-10 02:15:00 and 2025-10-10 03:58:00 to 2025-10-10 04:33:00 were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
Forecast the CPU usage over the next 120 minutes, from 2025-10-10 04:26:00 to 2025-10-10 06:25:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template3/item3
|
GIFT synthesize
|
anomaly
|
T
|
73.687,73.595,73.526,73.449,73.375,73.303,73.214,73.149,73.088,73.003,72.921,72.857,72.770,72.700,72.621,72.547,72.477,72.413,72.326,72.268,72.172,72.106,72.045,71.976,71.892,71.827,71.755,71.680,71.613,71.544,71.465,71.395,71.338,71.259,71.192,71.124,71.054,70.978,70.912,70.857,70.787,70.697,70.636,70.567,70.499,70.437,70.367,70.294,70.235,70.171,70.107,70.034,69.975,69.897,69.834,69.766,69.699,69.638,69.579,69.507,69.437,69.372,69.318,69.246,69.182,69.114,69.068,68.998,68.918,68.872,68.799,68.746,68.673,68.621,68.555,68.497,68.429,68.368,68.308,68.253,68.190,68.123,68.067,67.994,67.953,67.880,67.823,67.759,67.720,67.656,67.597,67.526,67.482,67.403,67.362,67.303,67.240,67.195,67.123,67.074,67.017,66.954,66.891,66.844,66.784,66.727,66.675,66.620,66.560,65.660,64.764,63.854,62.983,62.105,61.238,60.416,59.585,58.796,58.040,57.289,56.595,55.917,55.286,54.678,54.119,53.615,53.153,52.727,52.361,52.018,51.728,51.506,51.339,51.218,51.148,51.100,51.048,52.212,53.285,54.339,55.314,56.255,57.156,57.963,58.752,59.472,60.140,60.753,61.333,61.847,62.295,62.698,63.059,63.356,63.605,63.797,63.939,64.017,64.049,64.003,63.965,63.911,63.887,63.832,63.788,63.735,63.696,63.660,63.618,63.568,63.527,63.479,63.435,63.387,63.352,63.313,63.280,63.215,63.178,63.154,63.096,63.069,63.020,62.995,62.946,62.907,62.867,62.833,62.785,62.731,62.702,62.664,62.629,62.591,62.548,62.521,62.475,62.439,62.401,62.372,62.333,62.287,62.265,62.228,62.179,62.142,62.104,62.073,62.027,62.003,61.968,61.925,61.896,61.870,61.831,61.787,61.756,61.725,61.695,61.666,61.634,61.593,61.565,61.532,61.498,61.455,61.440,61.403,61.376,61.337,61.314,61.277,61.238,61.216,61.187,61.807,58.742,67.672,64.022,63.668,54.640,54.984,60.014,63.784,63.269,58.689,67.151,55.945,57.207,62.322,64.199,65.850,54.220,62.888,60.622,60.600,60.573,60.534,60.516,60.498,60.471,60.446,60.418,60.388,60.371,60.351,60.334,60.295,60.268,60.268,60.232,60.204,60.197,60.174,60.145,60.114,60.089,60.076,60.042,60.040,60.017,59.987,59.963,59.946,59.918,59.901
|
2025-10-10 00:00:00
|
2025-10-10 04:45:00
|
59.888,59.858,59.846,59.830,59.813,59.786,59.775,59.754,59.712,59.711,59.694,59.685,59.664,59.646,59.626,59.619,59.596,59.585,59.571,59.543,59.536,59.518,59.498,59.483,59.468,59.465,59.440,59.413,59.404,59.390,59.394,59.372,59.351,59.342,59.336,59.314,59.293,59.289,59.286,59.276,59.238,59.245,59.228,59.206,59.206,59.190,59.191,59.166,59.172,59.158,59.136,59.133,59.130,59.112,59.108,59.108,59.087,59.075,59.075,59.069,59.047,59.056,59.046,59.024,59.024,59.018,59.016,58.992,58.988,58.985,58.987,58.979,58.979,58.972,58.966,58.958,58.968,58.941,58.934,58.937,58.928,58.922,58.932,58.926,58.922,58.927,58.909,58.910,58.909,58.912,58.905,58.902,58.898,58.894,58.903,58.898,58.906,58.896,58.897,58.896
|
2025-10-10 04:46:00
|
2025-10-10 06:25:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the CPU usage over the next 100 minutes, from 2025-10-10 04:46:00 to 2025-10-10 06:25:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 04:45:00 with the minute (T) frequency. Due to a firmware's bug, the readings from 2025-10-10 01:47:00 to 2025-10-10 02:38:00 and 2025-10-10 03:54:00 to 2025-10-10 04:13:00 were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
|
<history>73.687,73.595,73.526,73.449,73.375,73.303,73.214,73.149,73.088,73.003,72.921,72.857,72.770,72.700,72.621,72.547,72.477,72.413,72.326,72.268,72.172,72.106,72.045,71.976,71.892,71.827,71.755,71.680,71.613,71.544,71.465,71.395,71.338,71.259,71.192,71.124,71.054,70.978,70.912,70.857,70.787,70.697,70.636,70.567,70.499,70.437,70.367,70.294,70.235,70.171,70.107,70.034,69.975,69.897,69.834,69.766,69.699,69.638,69.579,69.507,69.437,69.372,69.318,69.246,69.182,69.114,69.068,68.998,68.918,68.872,68.799,68.746,68.673,68.621,68.555,68.497,68.429,68.368,68.308,68.253,68.190,68.123,68.067,67.994,67.953,67.880,67.823,67.759,67.720,67.656,67.597,67.526,67.482,67.403,67.362,67.303,67.240,67.195,67.123,67.074,67.017,66.954,66.891,66.844,66.784,66.727,66.675,66.620,66.560,65.660,64.764,63.854,62.983,62.105,61.238,60.416,59.585,58.796,58.040,57.289,56.595,55.917,55.286,54.678,54.119,53.615,53.153,52.727,52.361,52.018,51.728,51.506,51.339,51.218,51.148,51.100,51.048,52.212,53.285,54.339,55.314,56.255,57.156,57.963,58.752,59.472,60.140,60.753,61.333,61.847,62.295,62.698,63.059,63.356,63.605,63.797,63.939,64.017,64.049,64.003,63.965,63.911,63.887,63.832,63.788,63.735,63.696,63.660,63.618,63.568,63.527,63.479,63.435,63.387,63.352,63.313,63.280,63.215,63.178,63.154,63.096,63.069,63.020,62.995,62.946,62.907,62.867,62.833,62.785,62.731,62.702,62.664,62.629,62.591,62.548,62.521,62.475,62.439,62.401,62.372,62.333,62.287,62.265,62.228,62.179,62.142,62.104,62.073,62.027,62.003,61.968,61.925,61.896,61.870,61.831,61.787,61.756,61.725,61.695,61.666,61.634,61.593,61.565,61.532,61.498,61.455,61.440,61.403,61.376,61.337,61.314,61.277,61.238,61.216,61.187,61.807,58.742,67.672,64.022,63.668,54.640,54.984,60.014,63.784,63.269,58.689,67.151,55.945,57.207,62.322,64.199,65.850,54.220,62.888,60.622,60.600,60.573,60.534,60.516,60.498,60.471,60.446,60.418,60.388,60.371,60.351,60.334,60.295,60.268,60.268,60.232,60.204,60.197,60.174,60.145,60.114,60.089,60.076,60.042,60.040,60.017,59.987,59.963,59.946,59.918,59.901</history>
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 04:45:00 with the minute (T) frequency. Due to a firmware's bug, the readings from 2025-10-10 01:47:00 to 2025-10-10 02:38:00 and 2025-10-10 03:54:00 to 2025-10-10 04:13:00 were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
Forecast the CPU usage over the next 100 minutes, from 2025-10-10 04:46:00 to 2025-10-10 06:25:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template4/item3
|
GIFT synthesize
|
anomaly
|
T
|
49.374,49.321,49.817,50.010,49.558,48.544,47.327,46.170,45.153,44.135,43.112,42.349,42.368,43.664,46.279,49.582,52.394,53.483,52.196,48.893,44.901,42.007,41.609,44.130,48.848,54.272,58.893,61.908,63.463,64.414,65.718,67.755,70.071,71.589,71.220,68.488,63.841,58.486,53.814,50.808,49.636,49.739,50.211,50.302,49.728,48.665,47.462,46.386,45.409,44.431,43.473,42.830,43.069,44.603,47.374,50.656,53.215,53.906,52.247,48.765,44.912,42.424,42.566,45.553,50.493,55.859,60.222,62.957,64.353,65.351,68.993,68.084,69.534,70.380,62.500,58.561,62.835,48.150,48.987,38.279,39.354,45.184,43.821,36.706,29.094,37.076,24.823,29.235,29.099,20.791,28.597,27.142,26.943,25.063,21.441,18.752,18.882,17.139,20.784,14.659,8.588,1.496,0.000,3.440,8.578,17.776,25.632,31.653,36.301,40.545,45.168,50.264,55.108,58.545,59.653,58.290,55.204,51.745,49.216,48.301,48.904,50.243,51.439,51.909,51.570,50.715,49.591,48.659,47.794,46.907,46.062,45.691,46.329,48.308,51.340,54.521,56.568,56.485,54.126,50.370,46.856,45.239,46.481,50.361,55.677,60.844,64.663,66.840,67.973,69.063,70.815,73.171,75.278,75.954,74.379,70.547,65.397,60.304,56.516,54.595,54.261,54.705,55.023,54.737,53.841,52.686,51.613,50.727,49.904,49.033,48.241,47.993,48.849,51.069,54.257,57.368,59.142,58.667,55.960,52.095,48.776,47.636,49.422,53.732,59.193,64.229,67.757,69.669,70.700,71.852,73.776,76.212,78.208,78.568,76.570,72.400,67.118,62.163,58.698,57.143,57.067,57.582,57.849,57.437,56.465,55.308,54.283,53.428,48.300,63.680,50.260,57.167,58.273,46.863,65.411,66.110,70.218,67.336,51.607,51.480,43.090,39.242,49.418,51.690,75.914,67.013,77.100,81.370,83.866,87.817,87.410,89.163,70.269,80.380,78.271,85.909,64.966,56.108,55.920,65.062,65.275,54.283,57.224,73.203,58.750,69.936,54.003,59.570,47.470,57.883,43.105,51.605,47.753,49.843,57.281,53.918,61.951,54.229,61.347,57.362,54.596,54.472,57.360,62.417,68.056,72.725,75.650,77.085,78.000,79.392,81.626,84.157,85.810,85.437,82.595,77.819,72.413,67.853,65.070,64.201,64.548,65.151,65.263,64.661,63.580,62.431,61.469,60.650,59.791,58.892,58.288,58.592,60.275,63.270,66.789,69.523,70.258,68.501,64.872,60.944,58.560,59.003,62.410,67.760,73.361,77.794,80.411,81.663,82.595,84.149,86.525,89.016,90.424,89.645,86.400,81.391,76.030,71.727,69.318,68.743,69.235,69.826,69.834,69.127,68.021,66.910,65.977,65.170,64.293,63.413,62.935,63.479,65.445,68.652,72.163,74.652,74.952,72.793,68.976,65.202,63.280,64.302,68.180,73.730,79.248,83.373,85.713,86.833,87.834,89.560,92.044,94.462,95.554,94.339,90.733,85.572,80.320,76.334,74.282,73.954,74.543,75.064,74.946,74.166,73.055,71.983,71.100,70.293,69.414,68.593,68.272,69.076,71.317,74.661,78.078,80.237,80.102,77.587,73.692,70.183,68.756,70.361,74.662,80.320,85.649,89.478,91.554,92.615,93.733,95.638,98.184,100.000,100.000,99.546,95.606,90.371,85.299,81.650,79.938,79.825,80.438,80.867,80.625,79.785,78.675,77.660,76.832,76.034,75.180,74.443,74.312,75.380
|
2025-10-10 00:00:00
|
2025-10-10 06:51:00
|
77.849,81.273,84.538,86.317,85.758,82.952,79.060,75.878,75.018,77.164,81.793,87.476,92.594,96.101,97.982,99.019,100.000,100.000,100.000,100.000,100.000,100.000,100.000,95.791,90.948,87.652,86.272,86.326,86.934,87.251,86.905,85.997,84.924,83.967,83.174,82.401,81.579,80.942,81.033,82.348,85.034,88.475,91.525,92.917,91.943,88.904,85.101,82.314,82.008,84.647,89.546,95.198,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000,97.258,94.327,93.236,93.440,94.024,94.232,93.780,92.841,91.790,90.892,90.136,89.376,88.598,88.077,88.387,89.976,92.841,96.277,99.077,100.000,98.721,95.495,91.816,89.444,89.678,92.780,97.891,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000
|
2025-10-10 06:52:00
|
2025-10-10 08:31:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the CPU usage over the next 100 minutes, from 2025-10-10 06:52:00 to 2025-10-10 08:31:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 06:51:00 with the minute (T) frequency. Due to a firmware's bug, the readings from 2025-10-10 01:09:00 to 2025-10-10 02:05:00 and 2025-10-10 03:27:00 to 2025-10-10 04:17:00 were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
|
<history>49.374,49.321,49.817,50.010,49.558,48.544,47.327,46.170,45.153,44.135,43.112,42.349,42.368,43.664,46.279,49.582,52.394,53.483,52.196,48.893,44.901,42.007,41.609,44.130,48.848,54.272,58.893,61.908,63.463,64.414,65.718,67.755,70.071,71.589,71.220,68.488,63.841,58.486,53.814,50.808,49.636,49.739,50.211,50.302,49.728,48.665,47.462,46.386,45.409,44.431,43.473,42.830,43.069,44.603,47.374,50.656,53.215,53.906,52.247,48.765,44.912,42.424,42.566,45.553,50.493,55.859,60.222,62.957,64.353,65.351,68.993,68.084,69.534,70.380,62.500,58.561,62.835,48.150,48.987,38.279,39.354,45.184,43.821,36.706,29.094,37.076,24.823,29.235,29.099,20.791,28.597,27.142,26.943,25.063,21.441,18.752,18.882,17.139,20.784,14.659,8.588,1.496,0.000,3.440,8.578,17.776,25.632,31.653,36.301,40.545,45.168,50.264,55.108,58.545,59.653,58.290,55.204,51.745,49.216,48.301,48.904,50.243,51.439,51.909,51.570,50.715,49.591,48.659,47.794,46.907,46.062,45.691,46.329,48.308,51.340,54.521,56.568,56.485,54.126,50.370,46.856,45.239,46.481,50.361,55.677,60.844,64.663,66.840,67.973,69.063,70.815,73.171,75.278,75.954,74.379,70.547,65.397,60.304,56.516,54.595,54.261,54.705,55.023,54.737,53.841,52.686,51.613,50.727,49.904,49.033,48.241,47.993,48.849,51.069,54.257,57.368,59.142,58.667,55.960,52.095,48.776,47.636,49.422,53.732,59.193,64.229,67.757,69.669,70.700,71.852,73.776,76.212,78.208,78.568,76.570,72.400,67.118,62.163,58.698,57.143,57.067,57.582,57.849,57.437,56.465,55.308,54.283,53.428,48.300,63.680,50.260,57.167,58.273,46.863,65.411,66.110,70.218,67.336,51.607,51.480,43.090,39.242,49.418,51.690,75.914,67.013,77.100,81.370,83.866,87.817,87.410,89.163,70.269,80.380,78.271,85.909,64.966,56.108,55.920,65.062,65.275,54.283,57.224,73.203,58.750,69.936,54.003,59.570,47.470,57.883,43.105,51.605,47.753,49.843,57.281,53.918,61.951,54.229,61.347,57.362,54.596,54.472,57.360,62.417,68.056,72.725,75.650,77.085,78.000,79.392,81.626,84.157,85.810,85.437,82.595,77.819,72.413,67.853,65.070,64.201,64.548,65.151,65.263,64.661,63.580,62.431,61.469,60.650,59.791,58.892,58.288,58.592,60.275,63.270,66.789,69.523,70.258,68.501,64.872,60.944,58.560,59.003,62.410,67.760,73.361,77.794,80.411,81.663,82.595,84.149,86.525,89.016,90.424,89.645,86.400,81.391,76.030,71.727,69.318,68.743,69.235,69.826,69.834,69.127,68.021,66.910,65.977,65.170,64.293,63.413,62.935,63.479,65.445,68.652,72.163,74.652,74.952,72.793,68.976,65.202,63.280,64.302,68.180,73.730,79.248,83.373,85.713,86.833,87.834,89.560,92.044,94.462,95.554,94.339,90.733,85.572,80.320,76.334,74.282,73.954,74.543,75.064,74.946,74.166,73.055,71.983,71.100,70.293,69.414,68.593,68.272,69.076,71.317,74.661,78.078,80.237,80.102,77.587,73.692,70.183,68.756,70.361,74.662,80.320,85.649,89.478,91.554,92.615,93.733,95.638,98.184,100.000,100.000,99.546,95.606,90.371,85.299,81.650,79.938,79.825,80.438,80.867,80.625,79.785,78.675,77.660,76.832,76.034,75.180,74.443,74.312,75.380</history>
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 06:51:00 with the minute (T) frequency. Due to a firmware's bug, the readings from 2025-10-10 01:09:00 to 2025-10-10 02:05:00 and 2025-10-10 03:27:00 to 2025-10-10 04:17:00 were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
Forecast the CPU usage over the next 100 minutes, from 2025-10-10 06:52:00 to 2025-10-10 08:31:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template0/item3
|
GIFT synthesize
|
anomaly
|
T
|
9.781,9.765,9.776,9.768,9.773,30.031,30.039,30.030,30.017,30.055,30.051,9.818,9.791,9.798,9.844,9.847,9.845,9.871,9.874,9.897,9.921,9.904,9.930,9.926,30.219,30.246,30.247,30.277,30.276,10.036,10.063,10.068,10.121,10.113,10.130,10.144,10.191,10.207,10.237,10.255,10.291,10.318,10.363,30.611,30.662,30.684,30.716,30.774,10.539,10.541,10.609,10.621,16.701,22.740,28.656,34.406,39.975,45.297,50.327,55.008,59.343,63.253,86.954,89.944,92.446,94.404,95.823,76.455,76.486,76.521,76.181,75.078,73.204,70.543,67.112,62.921,57.942,52.214,45.707,38.411,50.619,41.803,32.236,32.284,32.319,12.136,12.180,12.232,12.290,12.346,12.411,12.470,12.527,12.570,12.659,12.708,12.780,12.842,12.911,33.230,33.302,33.382,33.426,33.497,13.292,13.378,13.445,13.489,13.579,13.665,13.703,13.774,13.863,13.938,14.027,14.094,14.159,14.239,34.544,32.338,18.414,43.076,12.775,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,2.377,9.036,0.000,0.000,4.513,8.385,11.571,14.085,15.888,17.020,17.112,17.225,17.322,17.417,17.529,37.897,37.988,38.078,38.203,38.279,18.134,18.238,18.316,18.443,18.562,18.666,18.762,18.877,18.971,19.095,19.215,19.302,19.431,19.558,39.927,40.045,40.148,40.238,40.364,20.259,20.357,20.461,20.587,20.691,20.838,20.952,21.067,21.189,21.303,21.445,21.544,21.686,21.829,42.180,42.337,42.448
|
2025-10-10 00:00:00
|
2025-10-10 03:15:00
|
42.589,42.700,22.569,22.703,22.846,22.965,23.125,23.245,23.362,23.510,23.635,23.787,23.918,24.031,24.176,44.565,44.707,44.882,45.002,45.113,25.021,25.154,25.286,25.444,25.578,25.740,25.880,26.043,26.160,26.316,26.472,26.602,26.737,26.887,47.313,47.456,47.612,47.759,47.929,27.795,27.980,28.120,28.250,28.428,28.589,28.756,28.917,29.065,29.226,29.382,29.550,29.694,29.878,50.284,50.457,50.620,50.787,50.945,30.831,31.029
|
2025-10-10 03:16:00
|
2025-10-10 04:15:00
|
,
| 60
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the CPU usage over the next 60 minutes, from 2025-10-10 03:16:00 to 2025-10-10 04:15:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 03:15:00 with the minute (T) frequency. Due to a firmware's bug, there are periods where the readings were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
|
<history>9.781,9.765,9.776,9.768,9.773,30.031,30.039,30.030,30.017,30.055,30.051,9.818,9.791,9.798,9.844,9.847,9.845,9.871,9.874,9.897,9.921,9.904,9.930,9.926,30.219,30.246,30.247,30.277,30.276,10.036,10.063,10.068,10.121,10.113,10.130,10.144,10.191,10.207,10.237,10.255,10.291,10.318,10.363,30.611,30.662,30.684,30.716,30.774,10.539,10.541,10.609,10.621,16.701,22.740,28.656,34.406,39.975,45.297,50.327,55.008,59.343,63.253,86.954,89.944,92.446,94.404,95.823,76.455,76.486,76.521,76.181,75.078,73.204,70.543,67.112,62.921,57.942,52.214,45.707,38.411,50.619,41.803,32.236,32.284,32.319,12.136,12.180,12.232,12.290,12.346,12.411,12.470,12.527,12.570,12.659,12.708,12.780,12.842,12.911,33.230,33.302,33.382,33.426,33.497,13.292,13.378,13.445,13.489,13.579,13.665,13.703,13.774,13.863,13.938,14.027,14.094,14.159,14.239,34.544,32.338,18.414,43.076,12.775,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,2.377,9.036,0.000,0.000,4.513,8.385,11.571,14.085,15.888,17.020,17.112,17.225,17.322,17.417,17.529,37.897,37.988,38.078,38.203,38.279,18.134,18.238,18.316,18.443,18.562,18.666,18.762,18.877,18.971,19.095,19.215,19.302,19.431,19.558,39.927,40.045,40.148,40.238,40.364,20.259,20.357,20.461,20.587,20.691,20.838,20.952,21.067,21.189,21.303,21.445,21.544,21.686,21.829,42.180,42.337,42.448</history>
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 03:15:00 with the minute (T) frequency. Due to a firmware's bug, there are periods where the readings were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
Forecast the CPU usage over the next 60 minutes, from 2025-10-10 03:16:00 to 2025-10-10 04:15:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template1/item3
|
GIFT synthesize
|
anomaly
|
T
|
100.000,98.332,96.588,94.913,93.262,91.586,89.941,88.311,100.000,100.000,100.000,100.000,80.338,78.817,77.311,75.748,74.284,72.798,71.297,69.853,68.441,66.987,65.606,64.234,62.850,61.556,60.211,58.900,57.666,56.400,55.113,53.917,52.693,51.549,50.342,49.214,48.102,96.517,95.461,94.415,67.549,65.419,22.123,18.820,42.444,26.184,52.321,25.428,45.611,62.141,21.484,13.767,29.650,32.460,24.369,3.242,25.325,13.982,6.739,51.194,9.130,33.668,43.946,54.331,18.990,12.805,67.573,56.831,66.171,91.823,51.539,44.165,0.000,18.818,39.115,32.655,4.603,4.630,25.228,25.357,25.559,25.719,25.951,26.236,26.545,26.912,27.266,27.651,28.091,28.517,29.000,29.513,30.008,30.604,31.161,81.293,81.926,82.596,83.225,34.413,35.125,35.876,36.553,37.388,38.151,38.931,39.745,40.554,41.422,42.244,43.084,43.971,44.861,45.718,46.596,47.506,48.418,49.305,50.209,51.106,52.012,52.959,53.870,54.788,100.000,100.000,100.000,100.000,59.377,60.256,61.156,62.086,62.928,63.801,64.701,65.540,66.360,67.204,68.000,68.874,69.636,70.408,71.199,71.916,72.614,73.348,74.083,74.687,75.348,75.975,76.576,77.133,77.719,100.000,100.000,100.000,100.000,100.000,80.477,80.859,81.230,81.486,81.770,82.057,82.190,81.834,77.005,67.686,54.892,48.796,44.496,45.047,45.033,45.019,49.299,53.338,57.076,60.590,63.763,66.746,69.430,71.832,100.000,100.000,100.000,100.000,100.000,80.755,81.289,81.548,81.387,81.262,81.128,80.971,80.815,80.694,80.461,80.269,80.150,79.973,79.729,79.514,79.318,79.070,78.825,78.623
|
2025-10-10 00:00:00
|
2025-10-10 03:25:00
|
78.396,78.080,77.816,77.553,77.263,100.000,100.000,100.000,100.000,100.000,75.325,75.014,74.617,74.205,73.889,73.494,73.066,72.659,72.244,71.804,71.330,70.869,70.429,69.935,69.469,68.939,68.460,67.951,67.422,66.880,66.352,65.734,65.206,64.590,100.000,100.000,100.000,100.000,100.000,60.808,60.134,59.457,58.762,58.065,57.325,56.596,55.839,55.059,54.279,53.520
|
2025-10-10 03:26:00
|
2025-10-10 04:15:00
|
,
| 50
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the CPU usage over the next 50 minutes, from 2025-10-10 03:26:00 to 2025-10-10 04:15:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 03:25:00 with the minute (T) frequency. Due to a firmware's bug, there are periods where the readings were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
|
<history>100.000,98.332,96.588,94.913,93.262,91.586,89.941,88.311,100.000,100.000,100.000,100.000,80.338,78.817,77.311,75.748,74.284,72.798,71.297,69.853,68.441,66.987,65.606,64.234,62.850,61.556,60.211,58.900,57.666,56.400,55.113,53.917,52.693,51.549,50.342,49.214,48.102,96.517,95.461,94.415,67.549,65.419,22.123,18.820,42.444,26.184,52.321,25.428,45.611,62.141,21.484,13.767,29.650,32.460,24.369,3.242,25.325,13.982,6.739,51.194,9.130,33.668,43.946,54.331,18.990,12.805,67.573,56.831,66.171,91.823,51.539,44.165,0.000,18.818,39.115,32.655,4.603,4.630,25.228,25.357,25.559,25.719,25.951,26.236,26.545,26.912,27.266,27.651,28.091,28.517,29.000,29.513,30.008,30.604,31.161,81.293,81.926,82.596,83.225,34.413,35.125,35.876,36.553,37.388,38.151,38.931,39.745,40.554,41.422,42.244,43.084,43.971,44.861,45.718,46.596,47.506,48.418,49.305,50.209,51.106,52.012,52.959,53.870,54.788,100.000,100.000,100.000,100.000,59.377,60.256,61.156,62.086,62.928,63.801,64.701,65.540,66.360,67.204,68.000,68.874,69.636,70.408,71.199,71.916,72.614,73.348,74.083,74.687,75.348,75.975,76.576,77.133,77.719,100.000,100.000,100.000,100.000,100.000,80.477,80.859,81.230,81.486,81.770,82.057,82.190,81.834,77.005,67.686,54.892,48.796,44.496,45.047,45.033,45.019,49.299,53.338,57.076,60.590,63.763,66.746,69.430,71.832,100.000,100.000,100.000,100.000,100.000,80.755,81.289,81.548,81.387,81.262,81.128,80.971,80.815,80.694,80.461,80.269,80.150,79.973,79.729,79.514,79.318,79.070,78.825,78.623</history>
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 03:25:00 with the minute (T) frequency. Due to a firmware's bug, there are periods where the readings were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
Forecast the CPU usage over the next 50 minutes, from 2025-10-10 03:26:00 to 2025-10-10 04:15:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template2/item3
|
GIFT synthesize
|
anomaly
|
T
|
66.345,69.288,72.639,75.996,79.358,82.712,81.034,77.268,73.470,69.675,65.886,63.957,63.767,63.553,63.333,63.132,62.928,62.716,62.507,62.291,62.101,61.889,61.697,61.462,61.275,61.060,60.872,60.668,60.461,60.254,60.053,59.856,59.656,59.460,59.277,60.764,64.154,67.523,70.895,74.292,75.563,71.804,68.016,64.250,60.473,57.114,56.933,56.720,56.535,56.346,56.161,55.965,55.784,55.591,55.398,55.226,55.021,54.855,54.653,54.463,54.275,54.104,53.917,53.736,53.559,53.384,53.188,53.020,52.843,52.902,56.286,59.682,63.109,66.491,69.895,66.975,63.220,59.455,55.711,51.985,50.735,50.548,50.384,50.200,50.035,49.864,49.690,49.524,49.363,49.191,49.031,48.878,48.692,48.529,48.374,48.201,48.029,47.870,47.711,47.564,47.404,47.222,47.068,46.915,49.084,52.518,55.930,59.348,62.764,62.812,59.075,55.346,51.607,47.874,45.163,45.028,44.877,44.725,44.572,44.431,44.274,44.129,39.693,44.737,45.256,40.329,44.133,48.476,41.838,39.325,47.271,38.316,36.550,46.973,49.085,47.174,41.964,41.799,42.552,45.970,49.420,52.858,56.289,59.290,55.584,51.866,48.151,44.436,40.721,40.171,40.028,39.900,39.764,39.634,39.510,39.385,39.243,39.120,38.994,38.869,38.735,38.624,38.481,38.349,38.207,38.106,37.974,37.861,37.721,37.607,37.490,37.386,37.245,40.097,43.568,47.008,50.466,53.940,52.745,49.044,45.361,41.648,37.966,35.948,35.833,35.726,35.619,35.496,35.379,35.259,35.157,35.033,34.958,34.829,34.718,34.618,34.506,34.405,34.309,34.199,34.090,33.977,33.885,33.765,33.677,33.564,33.464,34.869,38.372,41.827,45.319,48.797,50.551,46.876,43.185,39.511,35.840,32.402,32.292,32.186,32.110,31.993,31.923,31.822,31.737,31.645,31.550,31.465,31.386,31.273,31.193,31.114,31.017,30.919,30.852,30.753,30.673,30.605,30.502,30.435,29.742,27.900,28.369,27.640,25.718,22.576,18.241,15.798,12.141,8.476,3.656,0.000,4.263,1.789,8.459,5.858,6.776,10.503,13.761,9.645,15.223,11.657,21.013,18.580,17.124,23.178
|
2025-10-10 00:00:00
|
2025-10-10 04:25:00
|
17.117,18.914,20.301,24.675,26.943,21.736,25.221,22.581,27.862,27.799,29.910,33.415,36.927,40.439,43.965,44.484,40.820,37.219,33.575,29.915,27.142,27.110,27.044,26.980,26.920,26.878,26.809,26.785,26.723,26.679,26.613,26.586,26.520,26.460,26.414,26.364,26.323,26.271,26.219,26.185,26.133,26.099,26.051,26.014,26.646,30.173,33.695,37.249,40.790,44.251,40.636,37.024,33.414,29.805,26.190,25.515,25.497,25.435,25.422,25.389,25.349,25.335,25.300,25.244,25.208,25.184,25.154,25.130,25.096,25.063,25.041,25.012,24.991,24.965,24.935,24.911,24.870,24.863,24.852,27.600,31.166,34.701,38.270,41.810,41.100,37.511,33.895,30.308,26.703,24.598,24.592,24.565,24.563,24.525,24.518,24.520,24.479,24.475,24.455,24.464,24.443,24.421,24.415,24.411,24.402,24.397,24.401,24.378,24.376,24.368,24.365,24.356,24.351,25.687,29.249,32.827,36.376,39.972,42.190,38.609
|
2025-10-10 04:26:00
|
2025-10-10 06:25:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the CPU usage over the next 120 minutes, from 2025-10-10 04:26:00 to 2025-10-10 06:25:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 04:25:00 with the minute (T) frequency. Due to a firmware's bug, there are periods where the readings were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
|
<history>66.345,69.288,72.639,75.996,79.358,82.712,81.034,77.268,73.470,69.675,65.886,63.957,63.767,63.553,63.333,63.132,62.928,62.716,62.507,62.291,62.101,61.889,61.697,61.462,61.275,61.060,60.872,60.668,60.461,60.254,60.053,59.856,59.656,59.460,59.277,60.764,64.154,67.523,70.895,74.292,75.563,71.804,68.016,64.250,60.473,57.114,56.933,56.720,56.535,56.346,56.161,55.965,55.784,55.591,55.398,55.226,55.021,54.855,54.653,54.463,54.275,54.104,53.917,53.736,53.559,53.384,53.188,53.020,52.843,52.902,56.286,59.682,63.109,66.491,69.895,66.975,63.220,59.455,55.711,51.985,50.735,50.548,50.384,50.200,50.035,49.864,49.690,49.524,49.363,49.191,49.031,48.878,48.692,48.529,48.374,48.201,48.029,47.870,47.711,47.564,47.404,47.222,47.068,46.915,49.084,52.518,55.930,59.348,62.764,62.812,59.075,55.346,51.607,47.874,45.163,45.028,44.877,44.725,44.572,44.431,44.274,44.129,39.693,44.737,45.256,40.329,44.133,48.476,41.838,39.325,47.271,38.316,36.550,46.973,49.085,47.174,41.964,41.799,42.552,45.970,49.420,52.858,56.289,59.290,55.584,51.866,48.151,44.436,40.721,40.171,40.028,39.900,39.764,39.634,39.510,39.385,39.243,39.120,38.994,38.869,38.735,38.624,38.481,38.349,38.207,38.106,37.974,37.861,37.721,37.607,37.490,37.386,37.245,40.097,43.568,47.008,50.466,53.940,52.745,49.044,45.361,41.648,37.966,35.948,35.833,35.726,35.619,35.496,35.379,35.259,35.157,35.033,34.958,34.829,34.718,34.618,34.506,34.405,34.309,34.199,34.090,33.977,33.885,33.765,33.677,33.564,33.464,34.869,38.372,41.827,45.319,48.797,50.551,46.876,43.185,39.511,35.840,32.402,32.292,32.186,32.110,31.993,31.923,31.822,31.737,31.645,31.550,31.465,31.386,31.273,31.193,31.114,31.017,30.919,30.852,30.753,30.673,30.605,30.502,30.435,29.742,27.900,28.369,27.640,25.718,22.576,18.241,15.798,12.141,8.476,3.656,0.000,4.263,1.789,8.459,5.858,6.776,10.503,13.761,9.645,15.223,11.657,21.013,18.580,17.124,23.178</history>
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 04:25:00 with the minute (T) frequency. Due to a firmware's bug, there are periods where the readings were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
Forecast the CPU usage over the next 120 minutes, from 2025-10-10 04:26:00 to 2025-10-10 06:25:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template3/item3
|
GIFT synthesize
|
anomaly
|
T
|
73.687,73.595,73.526,73.449,73.375,73.303,73.214,73.149,73.088,73.003,72.921,72.857,72.770,72.700,72.621,72.547,72.477,72.413,72.326,72.268,72.172,72.106,72.045,71.976,71.892,71.827,71.755,71.680,71.613,71.544,71.465,71.395,71.338,71.259,71.192,71.124,71.054,70.978,70.912,70.857,70.787,70.697,70.636,70.567,70.499,70.437,70.367,70.294,70.235,70.171,70.107,70.034,69.975,69.897,69.834,69.766,69.699,69.638,69.579,69.507,69.437,69.372,69.318,69.246,69.182,69.114,69.068,68.998,68.918,68.872,68.799,68.746,68.673,68.621,68.555,68.497,68.429,68.368,68.308,68.253,68.190,68.123,68.067,67.994,67.953,67.880,67.823,67.759,67.720,67.656,67.597,67.526,67.482,67.403,67.362,67.303,67.240,67.195,67.123,67.074,67.017,66.954,66.891,66.844,66.784,66.727,66.675,66.620,66.560,65.660,64.764,63.854,62.983,62.105,61.238,60.416,59.585,58.796,58.040,57.289,56.595,55.917,55.286,54.678,54.119,53.615,53.153,52.727,52.361,52.018,51.728,51.506,51.339,51.218,51.148,51.100,51.048,52.212,53.285,54.339,55.314,56.255,57.156,57.963,58.752,59.472,60.140,60.753,61.333,61.847,62.295,62.698,63.059,63.356,63.605,63.797,63.939,64.017,64.049,64.003,63.965,63.911,63.887,63.832,63.788,63.735,63.696,63.660,63.618,63.568,63.527,63.479,63.435,63.387,63.352,63.313,63.280,63.215,63.178,63.154,63.096,63.069,63.020,62.995,62.946,62.907,62.867,62.833,62.785,62.731,62.702,62.664,62.629,62.591,62.548,62.521,62.475,62.439,62.401,62.372,62.333,62.287,62.265,62.228,62.179,62.142,62.104,62.073,62.027,62.003,61.968,61.925,61.896,61.870,61.831,61.787,61.756,61.725,61.695,61.666,61.634,61.593,61.565,61.532,61.498,61.455,61.440,61.403,61.376,61.337,61.314,61.277,61.238,61.216,61.187,61.807,58.742,67.672,64.022,63.668,54.640,54.984,60.014,63.784,63.269,58.689,67.151,55.945,57.207,62.322,64.199,65.850,54.220,62.888,60.622,60.600,60.573,60.534,60.516,60.498,60.471,60.446,60.418,60.388,60.371,60.351,60.334,60.295,60.268,60.268,60.232,60.204,60.197,60.174,60.145,60.114,60.089,60.076,60.042,60.040,60.017,59.987,59.963,59.946,59.918,59.901
|
2025-10-10 00:00:00
|
2025-10-10 04:45:00
|
59.888,59.858,59.846,59.830,59.813,59.786,59.775,59.754,59.712,59.711,59.694,59.685,59.664,59.646,59.626,59.619,59.596,59.585,59.571,59.543,59.536,59.518,59.498,59.483,59.468,59.465,59.440,59.413,59.404,59.390,59.394,59.372,59.351,59.342,59.336,59.314,59.293,59.289,59.286,59.276,59.238,59.245,59.228,59.206,59.206,59.190,59.191,59.166,59.172,59.158,59.136,59.133,59.130,59.112,59.108,59.108,59.087,59.075,59.075,59.069,59.047,59.056,59.046,59.024,59.024,59.018,59.016,58.992,58.988,58.985,58.987,58.979,58.979,58.972,58.966,58.958,58.968,58.941,58.934,58.937,58.928,58.922,58.932,58.926,58.922,58.927,58.909,58.910,58.909,58.912,58.905,58.902,58.898,58.894,58.903,58.898,58.906,58.896,58.897,58.896
|
2025-10-10 04:46:00
|
2025-10-10 06:25:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the CPU usage over the next 100 minutes, from 2025-10-10 04:46:00 to 2025-10-10 06:25:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 04:45:00 with the minute (T) frequency. Due to a firmware's bug, there are periods where the readings were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
|
<history>73.687,73.595,73.526,73.449,73.375,73.303,73.214,73.149,73.088,73.003,72.921,72.857,72.770,72.700,72.621,72.547,72.477,72.413,72.326,72.268,72.172,72.106,72.045,71.976,71.892,71.827,71.755,71.680,71.613,71.544,71.465,71.395,71.338,71.259,71.192,71.124,71.054,70.978,70.912,70.857,70.787,70.697,70.636,70.567,70.499,70.437,70.367,70.294,70.235,70.171,70.107,70.034,69.975,69.897,69.834,69.766,69.699,69.638,69.579,69.507,69.437,69.372,69.318,69.246,69.182,69.114,69.068,68.998,68.918,68.872,68.799,68.746,68.673,68.621,68.555,68.497,68.429,68.368,68.308,68.253,68.190,68.123,68.067,67.994,67.953,67.880,67.823,67.759,67.720,67.656,67.597,67.526,67.482,67.403,67.362,67.303,67.240,67.195,67.123,67.074,67.017,66.954,66.891,66.844,66.784,66.727,66.675,66.620,66.560,65.660,64.764,63.854,62.983,62.105,61.238,60.416,59.585,58.796,58.040,57.289,56.595,55.917,55.286,54.678,54.119,53.615,53.153,52.727,52.361,52.018,51.728,51.506,51.339,51.218,51.148,51.100,51.048,52.212,53.285,54.339,55.314,56.255,57.156,57.963,58.752,59.472,60.140,60.753,61.333,61.847,62.295,62.698,63.059,63.356,63.605,63.797,63.939,64.017,64.049,64.003,63.965,63.911,63.887,63.832,63.788,63.735,63.696,63.660,63.618,63.568,63.527,63.479,63.435,63.387,63.352,63.313,63.280,63.215,63.178,63.154,63.096,63.069,63.020,62.995,62.946,62.907,62.867,62.833,62.785,62.731,62.702,62.664,62.629,62.591,62.548,62.521,62.475,62.439,62.401,62.372,62.333,62.287,62.265,62.228,62.179,62.142,62.104,62.073,62.027,62.003,61.968,61.925,61.896,61.870,61.831,61.787,61.756,61.725,61.695,61.666,61.634,61.593,61.565,61.532,61.498,61.455,61.440,61.403,61.376,61.337,61.314,61.277,61.238,61.216,61.187,61.807,58.742,67.672,64.022,63.668,54.640,54.984,60.014,63.784,63.269,58.689,67.151,55.945,57.207,62.322,64.199,65.850,54.220,62.888,60.622,60.600,60.573,60.534,60.516,60.498,60.471,60.446,60.418,60.388,60.371,60.351,60.334,60.295,60.268,60.268,60.232,60.204,60.197,60.174,60.145,60.114,60.089,60.076,60.042,60.040,60.017,59.987,59.963,59.946,59.918,59.901</history>
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 04:45:00 with the minute (T) frequency. Due to a firmware's bug, there are periods where the readings were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
Forecast the CPU usage over the next 100 minutes, from 2025-10-10 04:46:00 to 2025-10-10 06:25:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template4/item3
|
GIFT synthesize
|
anomaly
|
T
|
49.374,49.321,49.817,50.010,49.558,48.544,47.327,46.170,45.153,44.135,43.112,42.349,42.368,43.664,46.279,49.582,52.394,53.483,52.196,48.893,44.901,42.007,41.609,44.130,48.848,54.272,58.893,61.908,63.463,64.414,65.718,67.755,70.071,71.589,71.220,68.488,63.841,58.486,53.814,50.808,49.636,49.739,50.211,50.302,49.728,48.665,47.462,46.386,45.409,44.431,43.473,42.830,43.069,44.603,47.374,50.656,53.215,53.906,52.247,48.765,44.912,42.424,42.566,45.553,50.493,55.859,60.222,62.957,64.353,65.351,68.993,68.084,69.534,70.380,62.500,58.561,62.835,48.150,48.987,38.279,39.354,45.184,43.821,36.706,29.094,37.076,24.823,29.235,29.099,20.791,28.597,27.142,26.943,25.063,21.441,18.752,18.882,17.139,20.784,14.659,8.588,1.496,0.000,3.440,8.578,17.776,25.632,31.653,36.301,40.545,45.168,50.264,55.108,58.545,59.653,58.290,55.204,51.745,49.216,48.301,48.904,50.243,51.439,51.909,51.570,50.715,49.591,48.659,47.794,46.907,46.062,45.691,46.329,48.308,51.340,54.521,56.568,56.485,54.126,50.370,46.856,45.239,46.481,50.361,55.677,60.844,64.663,66.840,67.973,69.063,70.815,73.171,75.278,75.954,74.379,70.547,65.397,60.304,56.516,54.595,54.261,54.705,55.023,54.737,53.841,52.686,51.613,50.727,49.904,49.033,48.241,47.993,48.849,51.069,54.257,57.368,59.142,58.667,55.960,52.095,48.776,47.636,49.422,53.732,59.193,64.229,67.757,69.669,70.700,71.852,73.776,76.212,78.208,78.568,76.570,72.400,67.118,62.163,58.698,57.143,57.067,57.582,57.849,57.437,56.465,55.308,54.283,53.428,48.300,63.680,50.260,57.167,58.273,46.863,65.411,66.110,70.218,67.336,51.607,51.480,43.090,39.242,49.418,51.690,75.914,67.013,77.100,81.370,83.866,87.817,87.410,89.163,70.269,80.380,78.271,85.909,64.966,56.108,55.920,65.062,65.275,54.283,57.224,73.203,58.750,69.936,54.003,59.570,47.470,57.883,43.105,51.605,47.753,49.843,57.281,53.918,61.951,54.229,61.347,57.362,54.596,54.472,57.360,62.417,68.056,72.725,75.650,77.085,78.000,79.392,81.626,84.157,85.810,85.437,82.595,77.819,72.413,67.853,65.070,64.201,64.548,65.151,65.263,64.661,63.580,62.431,61.469,60.650,59.791,58.892,58.288,58.592,60.275,63.270,66.789,69.523,70.258,68.501,64.872,60.944,58.560,59.003,62.410,67.760,73.361,77.794,80.411,81.663,82.595,84.149,86.525,89.016,90.424,89.645,86.400,81.391,76.030,71.727,69.318,68.743,69.235,69.826,69.834,69.127,68.021,66.910,65.977,65.170,64.293,63.413,62.935,63.479,65.445,68.652,72.163,74.652,74.952,72.793,68.976,65.202,63.280,64.302,68.180,73.730,79.248,83.373,85.713,86.833,87.834,89.560,92.044,94.462,95.554,94.339,90.733,85.572,80.320,76.334,74.282,73.954,74.543,75.064,74.946,74.166,73.055,71.983,71.100,70.293,69.414,68.593,68.272,69.076,71.317,74.661,78.078,80.237,80.102,77.587,73.692,70.183,68.756,70.361,74.662,80.320,85.649,89.478,91.554,92.615,93.733,95.638,98.184,100.000,100.000,99.546,95.606,90.371,85.299,81.650,79.938,79.825,80.438,80.867,80.625,79.785,78.675,77.660,76.832,76.034,75.180,74.443,74.312,75.380
|
2025-10-10 00:00:00
|
2025-10-10 06:51:00
|
77.849,81.273,84.538,86.317,85.758,82.952,79.060,75.878,75.018,77.164,81.793,87.476,92.594,96.101,97.982,99.019,100.000,100.000,100.000,100.000,100.000,100.000,100.000,95.791,90.948,87.652,86.272,86.326,86.934,87.251,86.905,85.997,84.924,83.967,83.174,82.401,81.579,80.942,81.033,82.348,85.034,88.475,91.525,92.917,91.943,88.904,85.101,82.314,82.008,84.647,89.546,95.198,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000,97.258,94.327,93.236,93.440,94.024,94.232,93.780,92.841,91.790,90.892,90.136,89.376,88.598,88.077,88.387,89.976,92.841,96.277,99.077,100.000,98.721,95.495,91.816,89.444,89.678,92.780,97.891,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000,100.000
|
2025-10-10 06:52:00
|
2025-10-10 08:31:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the CPU usage over the next 100 minutes, from 2025-10-10 06:52:00 to 2025-10-10 08:31:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 06:51:00 with the minute (T) frequency. Due to a firmware's bug, there are periods where the readings were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
|
<history>49.374,49.321,49.817,50.010,49.558,48.544,47.327,46.170,45.153,44.135,43.112,42.349,42.368,43.664,46.279,49.582,52.394,53.483,52.196,48.893,44.901,42.007,41.609,44.130,48.848,54.272,58.893,61.908,63.463,64.414,65.718,67.755,70.071,71.589,71.220,68.488,63.841,58.486,53.814,50.808,49.636,49.739,50.211,50.302,49.728,48.665,47.462,46.386,45.409,44.431,43.473,42.830,43.069,44.603,47.374,50.656,53.215,53.906,52.247,48.765,44.912,42.424,42.566,45.553,50.493,55.859,60.222,62.957,64.353,65.351,68.993,68.084,69.534,70.380,62.500,58.561,62.835,48.150,48.987,38.279,39.354,45.184,43.821,36.706,29.094,37.076,24.823,29.235,29.099,20.791,28.597,27.142,26.943,25.063,21.441,18.752,18.882,17.139,20.784,14.659,8.588,1.496,0.000,3.440,8.578,17.776,25.632,31.653,36.301,40.545,45.168,50.264,55.108,58.545,59.653,58.290,55.204,51.745,49.216,48.301,48.904,50.243,51.439,51.909,51.570,50.715,49.591,48.659,47.794,46.907,46.062,45.691,46.329,48.308,51.340,54.521,56.568,56.485,54.126,50.370,46.856,45.239,46.481,50.361,55.677,60.844,64.663,66.840,67.973,69.063,70.815,73.171,75.278,75.954,74.379,70.547,65.397,60.304,56.516,54.595,54.261,54.705,55.023,54.737,53.841,52.686,51.613,50.727,49.904,49.033,48.241,47.993,48.849,51.069,54.257,57.368,59.142,58.667,55.960,52.095,48.776,47.636,49.422,53.732,59.193,64.229,67.757,69.669,70.700,71.852,73.776,76.212,78.208,78.568,76.570,72.400,67.118,62.163,58.698,57.143,57.067,57.582,57.849,57.437,56.465,55.308,54.283,53.428,48.300,63.680,50.260,57.167,58.273,46.863,65.411,66.110,70.218,67.336,51.607,51.480,43.090,39.242,49.418,51.690,75.914,67.013,77.100,81.370,83.866,87.817,87.410,89.163,70.269,80.380,78.271,85.909,64.966,56.108,55.920,65.062,65.275,54.283,57.224,73.203,58.750,69.936,54.003,59.570,47.470,57.883,43.105,51.605,47.753,49.843,57.281,53.918,61.951,54.229,61.347,57.362,54.596,54.472,57.360,62.417,68.056,72.725,75.650,77.085,78.000,79.392,81.626,84.157,85.810,85.437,82.595,77.819,72.413,67.853,65.070,64.201,64.548,65.151,65.263,64.661,63.580,62.431,61.469,60.650,59.791,58.892,58.288,58.592,60.275,63.270,66.789,69.523,70.258,68.501,64.872,60.944,58.560,59.003,62.410,67.760,73.361,77.794,80.411,81.663,82.595,84.149,86.525,89.016,90.424,89.645,86.400,81.391,76.030,71.727,69.318,68.743,69.235,69.826,69.834,69.127,68.021,66.910,65.977,65.170,64.293,63.413,62.935,63.479,65.445,68.652,72.163,74.652,74.952,72.793,68.976,65.202,63.280,64.302,68.180,73.730,79.248,83.373,85.713,86.833,87.834,89.560,92.044,94.462,95.554,94.339,90.733,85.572,80.320,76.334,74.282,73.954,74.543,75.064,74.946,74.166,73.055,71.983,71.100,70.293,69.414,68.593,68.272,69.076,71.317,74.661,78.078,80.237,80.102,77.587,73.692,70.183,68.756,70.361,74.662,80.320,85.649,89.478,91.554,92.615,93.733,95.638,98.184,100.000,100.000,99.546,95.606,90.371,85.299,81.650,79.938,79.825,80.438,80.867,80.625,79.785,78.675,77.660,76.832,76.034,75.180,74.443,74.312,75.380</history>
This time series records the CPU usage of a data center. The data was recorded from 2025-10-10 00:00:00 to 2025-10-10 06:51:00 with the minute (T) frequency. Due to a firmware's bug, there are periods where the readings were noisy, and even had unreasonable values. The adminitstrator quickly installed a patch fix and the CPU usage readings has returned to normal.
Forecast the CPU usage over the next 100 minutes, from 2025-10-10 06:52:00 to 2025-10-10 08:31:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template0/item4
|
GIFT synthesize
|
anomaly
|
H
|
164.000,183.000,168.000,148.000,142.000,172.000,134.000,163.000,191.000,218.000,159.000,164.000,132.000,218.000,178.000,147.000,141.000,174.000,190.000,197.000,212.000,181.000,228.000,239.000,208.000,167.000,160.000,154.000,150.000,168.000,187.000,2.000,400.000,783.000,951.000,1072.000,1342.000,1208.000,1095.000,1521.000,1473.000,1517.000,1339.000,1304.000,1116.000,1458.000,1232.000,1242.000,858.000,1048.000,651.000,873.000,921.000,524.000,625.000,265.000,385.000,202.000,319.000,107.000,152.000,169.000,163.000,188.000,173.000,203.000,160.000,169.000,200.000,180.000,171.000,154.000,164.000,170.000,191.000,148.000,189.000,144.000,184.000,165.000,199.000,155.000,152.000,167.000,165.000,160.000,196.000,180.000,141.000,181.000,192.000,245.000,200.000,154.000,192.000,190.000,231.000,200.000,151.000,192.000,284.000,396.000,414.000,563.000,614.000,669.000,757.000,807.000,786.000,791.000,763.000,795.000,731.000,743.000,643.000,672.000,595.000,494.000,428.000,455.000,409.000,354.000,341.000,304.000,204.000,212.000,197.000,172.000,182.000,141.000,162.000,110.000,168.000,222.000,167.000,129.000,153.000,157.000,151.000,126.000,182.000,199.000,220.000,161.000,151.000,221.000,214.000,182.000,257.000,166.000,128.000,213.000,150.000,127.000,154.000,186.000
|
2025-10-10 00:00:00
|
2025-10-16 11:00:00
|
182.000,187.000,161.000,182.000,144.000,171.000,146.000,155.000,154.000,150.000,125.000,215.000,161.000,116.000,142.000,159.000,184.000,197.000,161.000,173.000,126.000,150.000,186.000,137.000,190.000,187.000,145.000,196.000,157.000,195.000,174.000,185.000,135.000,137.000,217.000,166.000,174.000,193.000,179.000,188.000,168.000,172.000,127.000,185.000,183.000,216.000,146.000,187.000,225.000,166.000,178.000,185.000,140.000,150.000,218.000,188.000,211.000,179.000,192.000,204.000,197.000,145.000,154.000,198.000,175.000,178.000,195.000,134.000,211.000,192.000,216.000,121.000,167.000,162.000,169.000,135.000,161.000,209.000,131.000,186.000,189.000,154.000,131.000,219.000,210.000,170.000,195.000,126.000,139.000,208.000,171.000,163.000,225.000,177.000,150.000,199.000,144.000,163.000,184.000,199.000
|
2025-10-16 12:00:00
|
2025-10-20 15:00:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the electricty consumption in the next 100 hours, from 2025-10-16 12:00:00 to 2025-10-20 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-16 11:00:00 with the hour (H) frequency. During the periods of 2025-10-11 06:00:00 to 2025-10-12 12:00:00 and 2025-10-14 02:00:00 to 2025-10-15 08:00:00, the team was in a deadline and required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
|
<history>164.000,183.000,168.000,148.000,142.000,172.000,134.000,163.000,191.000,218.000,159.000,164.000,132.000,218.000,178.000,147.000,141.000,174.000,190.000,197.000,212.000,181.000,228.000,239.000,208.000,167.000,160.000,154.000,150.000,168.000,187.000,2.000,400.000,783.000,951.000,1072.000,1342.000,1208.000,1095.000,1521.000,1473.000,1517.000,1339.000,1304.000,1116.000,1458.000,1232.000,1242.000,858.000,1048.000,651.000,873.000,921.000,524.000,625.000,265.000,385.000,202.000,319.000,107.000,152.000,169.000,163.000,188.000,173.000,203.000,160.000,169.000,200.000,180.000,171.000,154.000,164.000,170.000,191.000,148.000,189.000,144.000,184.000,165.000,199.000,155.000,152.000,167.000,165.000,160.000,196.000,180.000,141.000,181.000,192.000,245.000,200.000,154.000,192.000,190.000,231.000,200.000,151.000,192.000,284.000,396.000,414.000,563.000,614.000,669.000,757.000,807.000,786.000,791.000,763.000,795.000,731.000,743.000,643.000,672.000,595.000,494.000,428.000,455.000,409.000,354.000,341.000,304.000,204.000,212.000,197.000,172.000,182.000,141.000,162.000,110.000,168.000,222.000,167.000,129.000,153.000,157.000,151.000,126.000,182.000,199.000,220.000,161.000,151.000,221.000,214.000,182.000,257.000,166.000,128.000,213.000,150.000,127.000,154.000,186.000</history>
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-16 11:00:00 with the hour (H) frequency. During the periods of 2025-10-11 06:00:00 to 2025-10-12 12:00:00 and 2025-10-14 02:00:00 to 2025-10-15 08:00:00, the team was in a deadline and required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
Forecast the electricty consumption in the next 100 hours, from 2025-10-16 12:00:00 to 2025-10-20 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template1/item4
|
GIFT synthesize
|
anomaly
|
H
|
91.000,74.000,59.000,90.000,94.000,48.000,104.000,91.000,51.000,68.000,68.000,70.000,69.000,97.000,47.000,80.000,109.000,76.000,97.000,78.000,108.000,63.000,80.000,83.000,56.000,73.000,76.000,115.000,78.000,67.000,55.000,85.000,90.000,95.000,95.000,149.000,152.000,200.000,235.000,262.000,256.000,317.000,367.000,384.000,372.000,376.000,364.000,373.000,432.000,428.000,428.000,442.000,392.000,321.000,303.000,275.000,265.000,200.000,199.000,173.000,154.000,136.000,96.000,97.000,112.000,81.000,74.000,51.000,94.000,82.000,95.000,57.000,75.000,53.000,70.000,77.000,124.000,102.000,69.000,95.000,70.000,84.000,84.000,78.000,55.000,90.000,72.000,82.000,61.000,85.000,71.000,116.000,106.000,68.000,49.000,52.000,81.000,73.000,94.000,78.000,80.000,108.000,95.000,91.000,93.000,80.000,89.000,83.000,46.000,40.000,229.000,315.000,360.000,382.000,410.000,363.000,330.000,308.000,323.000,260.000,302.000,317.000,310.000,265.000,287.000,262.000,302.000,282.000,307.000,299.000,285.000,286.000,298.000,271.000,289.000,277.000,314.000,274.000,293.000,268.000,268.000,318.000,295.000,293.000,287.000,291.000,310.000,277.000,334.000,297.000,316.000,290.000,293.000,276.000,267.000,301.000
|
2025-10-10 00:00:00
|
2025-10-16 11:00:00
|
326.000,312.000,282.000,288.000,305.000,308.000,307.000,284.000,270.000,284.000,291.000,273.000,289.000,273.000,302.000,287.000,311.000,272.000,294.000,302.000,292.000,300.000,279.000,261.000,267.000,256.000,273.000,273.000,295.000,275.000,285.000,282.000,259.000,285.000,313.000,297.000,266.000,323.000,284.000,272.000,314.000,313.000,303.000,298.000,301.000,232.000,269.000,274.000,302.000,283.000,294.000,287.000,275.000,303.000,286.000,273.000,278.000,291.000,275.000,275.000,276.000,272.000,295.000,311.000,315.000,298.000,308.000,255.000,274.000,314.000,307.000,297.000,272.000,330.000,292.000,304.000,288.000,298.000,271.000,288.000,280.000,304.000,282.000,296.000,286.000,298.000,247.000,269.000,290.000,260.000,285.000,294.000,284.000,303.000,295.000,298.000,273.000,299.000,293.000,289.000
|
2025-10-16 12:00:00
|
2025-10-20 15:00:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the electricty consumption in the next 100 hours, from 2025-10-16 12:00:00 to 2025-10-20 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-16 11:00:00 with the hour (H) frequency. During the periods of 2025-10-11 08:00:00 to 2025-10-12 17:00:00 and 2025-10-14 12:00:00 to 2025-10-14 16:00:00, the team was in a deadline and required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
|
<history>91.000,74.000,59.000,90.000,94.000,48.000,104.000,91.000,51.000,68.000,68.000,70.000,69.000,97.000,47.000,80.000,109.000,76.000,97.000,78.000,108.000,63.000,80.000,83.000,56.000,73.000,76.000,115.000,78.000,67.000,55.000,85.000,90.000,95.000,95.000,149.000,152.000,200.000,235.000,262.000,256.000,317.000,367.000,384.000,372.000,376.000,364.000,373.000,432.000,428.000,428.000,442.000,392.000,321.000,303.000,275.000,265.000,200.000,199.000,173.000,154.000,136.000,96.000,97.000,112.000,81.000,74.000,51.000,94.000,82.000,95.000,57.000,75.000,53.000,70.000,77.000,124.000,102.000,69.000,95.000,70.000,84.000,84.000,78.000,55.000,90.000,72.000,82.000,61.000,85.000,71.000,116.000,106.000,68.000,49.000,52.000,81.000,73.000,94.000,78.000,80.000,108.000,95.000,91.000,93.000,80.000,89.000,83.000,46.000,40.000,229.000,315.000,360.000,382.000,410.000,363.000,330.000,308.000,323.000,260.000,302.000,317.000,310.000,265.000,287.000,262.000,302.000,282.000,307.000,299.000,285.000,286.000,298.000,271.000,289.000,277.000,314.000,274.000,293.000,268.000,268.000,318.000,295.000,293.000,287.000,291.000,310.000,277.000,334.000,297.000,316.000,290.000,293.000,276.000,267.000,301.000</history>
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-16 11:00:00 with the hour (H) frequency. During the periods of 2025-10-11 08:00:00 to 2025-10-12 17:00:00 and 2025-10-14 12:00:00 to 2025-10-14 16:00:00, the team was in a deadline and required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
Forecast the electricty consumption in the next 100 hours, from 2025-10-16 12:00:00 to 2025-10-20 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template2/item4
|
GIFT synthesize
|
anomaly
|
H
|
93.000,89.000,112.000,125.000,154.000,123.000,135.000,114.000,108.000,140.000,78.000,103.000,89.000,106.000,130.000,61.000,78.000,76.000,72.000,60.000,69.000,56.000,105.000,60.000,132.000,86.000,130.000,110.000,82.000,84.000,126.000,119.000,81.000,116.000,131.000,117.000,123.000,151.000,111.000,83.000,122.000,78.000,67.000,116.000,105.000,130.000,104.000,72.000,48.000,38.000,35.000,47.000,95.000,91.000,127.000,103.000,101.000,137.000,117.000,91.000,100.000,117.000,96.000,100.000,139.000,103.000,71.000,139.000,117.000,118.000,106.000,125.000,49.000,77.000,94.000,110.000,73.000,66.000,54.000,83.000,70.000,69.000,85.000,96.000,103.000,129.000,121.000,102.000,78.000,61.000,117.000,81.000,96.000,68.000,62.000,111.000,134.000,110.000,144.000,108.000,112.000,97.000,57.000,100.000,86.000,84.000,87.000,75.000,73.000,69.000,71.000,53.000,72.000,74.000,85.000,85.000,91.000,71.000,118.000,100.000,129.000,106.000,76.000,104.000,110.000,96.000,132.000,134.000,115.000,98.000,110.000,84.000,87.000,95.000,76.000,121.000,87.000,98.000,57.000,73.000,70.000,51.000,67.000,71.000,72.000,92.000,71.000,114.000,105.000,89.000,106.000,110.000,111.000,90.000,96.000,78.000,67.000,112.000,124.000,115.000,120.000,103.000,72.000,94.000,102.000,107.000,99.000,97.000,81.000,92.000,51.000,49.000,92.000,102.000,116.000,167.000,194.000,207.000,319.000,282.000,314.000,356.000,355.000,368.000,363.000,336.000,365.000,350.000,355.000,277.000,307.000,244.000,164.000,175.000,82.000,96.000,81.000,90.000,97.000,98.000,63.000,41.000,45.000,63.000,73.000,65.000,115.000,102.000,135.000,106.000,117.000,105.000,80.000,96.000,62.000,120.000,112.000,103.000,94.000,105.000,99.000,134.000,105.000,114.000,123.000,107.000,111.000,71.000,113.000,109.000,48.000,68.000,72.000,82.000,63.000,94.000,93.000,108.000,106.000,73.000,62.000,100.000,112.000,118.000,94.000,101.000,94.000,87.000,136.000,82.000,126.000,90.000,123.000,101.000,107.000,123.000,97.000,77.000,119.000,92.000,57.000,74.000,76.000,60.000,77.000,82.000,106.000,127.000,161.000,160.000,131.000,153.000,154.000,181.000,177.000,220.000,206.000,195.000,222.000,203.000,258.000,271.000,277.000,269.000,302.000,266.000,259.000,287.000,309.000,292.000,286.000,285.000,285.000,341.000
|
2025-10-10 00:00:00
|
2025-10-22 05:00:00
|
302.000,326.000,328.000,326.000,328.000,281.000,283.000,291.000,241.000,221.000,221.000,214.000,189.000,193.000,193.000,158.000,136.000,160.000,142.000,147.000,94.000,109.000,140.000,61.000,106.000,57.000,111.000,99.000,82.000,10.000,58.000,48.000,88.000,103.000,97.000,77.000,116.000,98.000,101.000,115.000,111.000,116.000,97.000,113.000,106.000,108.000,128.000,141.000,97.000,140.000,133.000,129.000,102.000,93.000,92.000,74.000,94.000,83.000,75.000,49.000,30.000,47.000,76.000,68.000,129.000,85.000,109.000,70.000,104.000,123.000,92.000,105.000,95.000,106.000,120.000,120.000,91.000,93.000,109.000,130.000,140.000,104.000,121.000,78.000,73.000,85.000,97.000,92.000,61.000,62.000
|
2025-10-22 06:00:00
|
2025-10-26 23:00:00
|
,
| 90
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the electricty consumption in the next 90 hours, from 2025-10-22 06:00:00 to 2025-10-25 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-22 05:00:00 with the hour (H) frequency. During the periods of 2025-10-17 02:00:00 to 2025-10-18 02:00:00 and 2025-10-20 23:00:00 to 2025-10-23 09:00:00, the team was in a deadline and required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
|
<history>93.000,89.000,112.000,125.000,154.000,123.000,135.000,114.000,108.000,140.000,78.000,103.000,89.000,106.000,130.000,61.000,78.000,76.000,72.000,60.000,69.000,56.000,105.000,60.000,132.000,86.000,130.000,110.000,82.000,84.000,126.000,119.000,81.000,116.000,131.000,117.000,123.000,151.000,111.000,83.000,122.000,78.000,67.000,116.000,105.000,130.000,104.000,72.000,48.000,38.000,35.000,47.000,95.000,91.000,127.000,103.000,101.000,137.000,117.000,91.000,100.000,117.000,96.000,100.000,139.000,103.000,71.000,139.000,117.000,118.000,106.000,125.000,49.000,77.000,94.000,110.000,73.000,66.000,54.000,83.000,70.000,69.000,85.000,96.000,103.000,129.000,121.000,102.000,78.000,61.000,117.000,81.000,96.000,68.000,62.000,111.000,134.000,110.000,144.000,108.000,112.000,97.000,57.000,100.000,86.000,84.000,87.000,75.000,73.000,69.000,71.000,53.000,72.000,74.000,85.000,85.000,91.000,71.000,118.000,100.000,129.000,106.000,76.000,104.000,110.000,96.000,132.000,134.000,115.000,98.000,110.000,84.000,87.000,95.000,76.000,121.000,87.000,98.000,57.000,73.000,70.000,51.000,67.000,71.000,72.000,92.000,71.000,114.000,105.000,89.000,106.000,110.000,111.000,90.000,96.000,78.000,67.000,112.000,124.000,115.000,120.000,103.000,72.000,94.000,102.000,107.000,99.000,97.000,81.000,92.000,51.000,49.000,92.000,102.000,116.000,167.000,194.000,207.000,319.000,282.000,314.000,356.000,355.000,368.000,363.000,336.000,365.000,350.000,355.000,277.000,307.000,244.000,164.000,175.000,82.000,96.000,81.000,90.000,97.000,98.000,63.000,41.000,45.000,63.000,73.000,65.000,115.000,102.000,135.000,106.000,117.000,105.000,80.000,96.000,62.000,120.000,112.000,103.000,94.000,105.000,99.000,134.000,105.000,114.000,123.000,107.000,111.000,71.000,113.000,109.000,48.000,68.000,72.000,82.000,63.000,94.000,93.000,108.000,106.000,73.000,62.000,100.000,112.000,118.000,94.000,101.000,94.000,87.000,136.000,82.000,126.000,90.000,123.000,101.000,107.000,123.000,97.000,77.000,119.000,92.000,57.000,74.000,76.000,60.000,77.000,82.000,106.000,127.000,161.000,160.000,131.000,153.000,154.000,181.000,177.000,220.000,206.000,195.000,222.000,203.000,258.000,271.000,277.000,269.000,302.000,266.000,259.000,287.000,309.000,292.000,286.000,285.000,285.000,341.000</history>
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-22 05:00:00 with the hour (H) frequency. During the periods of 2025-10-17 02:00:00 to 2025-10-18 02:00:00 and 2025-10-20 23:00:00 to 2025-10-23 09:00:00, the team was in a deadline and required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
Forecast the electricty consumption in the next 90 hours, from 2025-10-22 06:00:00 to 2025-10-26 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template3/item4
|
GIFT synthesize
|
anomaly
|
H
|
6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,57.000,108.000,159.000,211.000,262.000,313.000,649.000,649.000,649.000,655.000,658.000,595.000,644.000,656.000,597.000,198.000,185.000,165.000,208.000,206.000,160.000,202.000,187.000,164.000,92.000,173.000,136.000,102.000,95.000,121.000,70.000,15.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,454.000,843.000,1172.000,1777.000,1986.000,2135.000,2225.000,2225.000,2225.000,2225.000,1927.000,1636.000,1359.000,768.000,541.000,346.000,190.000,76.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,341.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,341.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000
|
2025-10-10 00:00:00
|
2025-10-20 23:00:00
|
6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,341.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,341.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000
|
2025-10-21 00:00:00
|
2025-10-25 23:00:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the electricty consumption in the next 120 hours, from 2025-10-21 00:00:00 to 2025-10-25 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-20 23:00:00 with the hour (H) frequency. During the periods of 2025-10-11 09:00:00 to 2025-10-12 18:00:00 and 2025-10-14 08:00:00 to 2025-10-15 04:00:00, the team was in a deadline and required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
|
<history>6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,57.000,108.000,159.000,211.000,262.000,313.000,649.000,649.000,649.000,655.000,658.000,595.000,644.000,656.000,597.000,198.000,185.000,165.000,208.000,206.000,160.000,202.000,187.000,164.000,92.000,173.000,136.000,102.000,95.000,121.000,70.000,15.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,454.000,843.000,1172.000,1777.000,1986.000,2135.000,2225.000,2225.000,2225.000,2225.000,1927.000,1636.000,1359.000,768.000,541.000,346.000,190.000,76.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,341.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,341.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000</history>
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-20 23:00:00 with the hour (H) frequency. During the periods of 2025-10-11 09:00:00 to 2025-10-12 18:00:00 and 2025-10-14 08:00:00 to 2025-10-15 04:00:00, the team was in a deadline and required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
Forecast the electricty consumption in the next 120 hours, from 2025-10-21 00:00:00 to 2025-10-25 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_explicit/template4/item4
|
GIFT synthesize
|
anomaly
|
H
|
36.000,36.000,37.000,38.000,39.000,40.000,126.000,220.000,313.000,274.000,182.000,91.000,48.000,49.000,50.000,50.000,52.000,53.000,53.000,54.000,56.000,57.000,57.000,58.000,60.000,61.000,62.000,63.000,64.000,65.000,66.000,67.000,68.000,69.000,70.000,71.000,72.000,73.000,74.000,75.000,76.000,77.000,78.000,79.000,80.000,81.000,57.000,88.000,98.000,152.000,186.000,210.000,238.000,259.000,425.000,504.000,613.000,563.000,486.000,443.000,433.000,434.000,435.000,424.000,457.000,324.000,251.000,336.000,325.000,302.000,280.000,158.000,156.000,129.000,110.000,111.000,112.000,113.000,114.000,115.000,116.000,117.000,118.000,119.000,120.000,121.000,122.000,123.000,124.000,125.000,126.000,127.000,128.000,129.000,130.000,131.000,132.000,132.000,133.000,135.000,136.000,146.000,239.000,333.000,426.000,353.000,261.000,169.000,143.000,144.000,145.000,146.000,147.000,148.000,149.000,150.000,151.000,152.000,153.000,154.000,155.000,156.000,156.000,157.000,159.000,159.000,161.000,162.000,162.000,163.000,164.000,165.000,166.000,167.000,168.000,169.000,170.000,171.000,172.000,173.000,174.000,174.000,175.000,176.000,177.000,178.000,179.000,180.000,181.000,200.000,294.000,387.000,480.000,389.000,297.000,206.000,188.000,189.000,190.000,191.000,192.000,193.000,193.000,194.000,195.000,196.000,197.000,198.000,199.000,200.000,201.000,202.000,202.000,204.000,204.000,205.000,206.000,207.000,208.000,209.000,210.000,210.000,211.000,212.000,213.000,214.000,215.000,215.000,217.000,217.000,218.000,219.000,220.000,220.000,221.000,222.000,223.000,251.000,344.000,438.000,617.000,628.000,640.000,651.000,746.000,850.000,954.000,1058.000,1162.000,1266.000,1370.000,1474.000,1578.000,1682.000,1786.000,1890.000,1994.000,2098.000,2202.000,2306.000,2410.000,2514.000,2515.000,2515.000,2516.000,2517.000,2508.000,2478.000,2429.000,2359.000,2269.000,2158.000,2028.000,1877.000,1707.000,1516.000,1305.000,1073.000,822.000,550.000,258.000,259.000,260.000,261.000,261.000,298.000,391.000,484.000,543.000,451.000,359.000,267.000,267.000,268.000,269.000,269.000,270.000,271.000,271.000,272.000,273.000,274.000,275.000,275.000,276.000,276.000,277.000,278.000,279.000,279.000,280.000,281.000,282.000,282.000,283.000,283.000,284.000,285.000,285.000,286.000,287.000,287.000,288.000,289.000,289.000,290.000,291.000,291.000,292.000,293.000,293.000,294.000,295.000,339.000,432.000,526.000,567.000,475.000,383.000,299.000,300.000,300.000,301.000,302.000,302.000,303.000,303.000,304.000,304.000,305.000,306.000,306.000,307.000,307.000,308.000,309.000,309.000,310.000,310.000,311.000,312.000,312.000,312.000,313.000,313.000,314.000,315.000,315.000,316.000,316.000,317.000,318.000
|
2025-10-10 00:00:00
|
2025-10-23 19:00:00
|
318.000,319.000,319.000,320.000,320.000,321.000,321.000,322.000,322.000,376.000,469.000,561.000,586.000,493.000,402.000,326.000,326.000,326.000,327.000,328.000,328.000,329.000,329.000,330.000,330.000,331.000,331.000,332.000,332.000,332.000,333.000,333.000,334.000,334.000,335.000,335.000,336.000,336.000,336.000,337.000,337.000,338.000,338.000,339.000,339.000,339.000,340.000,340.000,341.000,341.000,341.000,342.000,342.000,343.000,343.000,343.000,344.000,405.000,499.000,592.000,598.000,506.000,414.000,346.000,346.000,347.000,347.000,348.000,348.000,348.000,349.000,349.000,349.000,350.000,350.000,350.000,351.000,351.000,351.000,351.000,352.000,352.000,352.000,353.000,353.000,353.000,354.000,354.000,354.000,355.000,355.000,355.000,355.000,356.000,356.000,356.000,357.000,356.000,357.000,357.000,357.000,358.000,358.000,358.000,358.000,429.000,522.000,614.000,603.000,511.000,419.000,360.000,360.000,361.000,361.000,361.000,361.000,361.000,361.000,362.000,362.000,362.000,362.000,362.000,363.000,363.000,363.000,363.000,363.000,363.000,363.000,364.000,364.000,364.000,364.000,364.000,364.000,365.000,365.000,365.000,365.000,365.000,365.000,365.000,365.000,365.000,365.000,366.000,366.000,366.000,366.000,366.000,366.000,445.000,538.000,630.000,602.000,509.000,417.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,368.000,367.000,367.000
|
2025-10-23 20:00:00
|
2025-10-31 07:00:00
|
,
| 180
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the electricty consumption in the next 180 hours, from 2025-10-23 20:00:00 to 2025-10-31 07:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-23 19:00:00 with the hour (H) frequency. During the periods of 2025-10-11 21:00:00 to 2025-10-13 01:00:00 and 2025-10-18 06:00:00 to 2025-10-20 00:00:00, the team was in a deadline and required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
|
<history>36.000,36.000,37.000,38.000,39.000,40.000,126.000,220.000,313.000,274.000,182.000,91.000,48.000,49.000,50.000,50.000,52.000,53.000,53.000,54.000,56.000,57.000,57.000,58.000,60.000,61.000,62.000,63.000,64.000,65.000,66.000,67.000,68.000,69.000,70.000,71.000,72.000,73.000,74.000,75.000,76.000,77.000,78.000,79.000,80.000,81.000,57.000,88.000,98.000,152.000,186.000,210.000,238.000,259.000,425.000,504.000,613.000,563.000,486.000,443.000,433.000,434.000,435.000,424.000,457.000,324.000,251.000,336.000,325.000,302.000,280.000,158.000,156.000,129.000,110.000,111.000,112.000,113.000,114.000,115.000,116.000,117.000,118.000,119.000,120.000,121.000,122.000,123.000,124.000,125.000,126.000,127.000,128.000,129.000,130.000,131.000,132.000,132.000,133.000,135.000,136.000,146.000,239.000,333.000,426.000,353.000,261.000,169.000,143.000,144.000,145.000,146.000,147.000,148.000,149.000,150.000,151.000,152.000,153.000,154.000,155.000,156.000,156.000,157.000,159.000,159.000,161.000,162.000,162.000,163.000,164.000,165.000,166.000,167.000,168.000,169.000,170.000,171.000,172.000,173.000,174.000,174.000,175.000,176.000,177.000,178.000,179.000,180.000,181.000,200.000,294.000,387.000,480.000,389.000,297.000,206.000,188.000,189.000,190.000,191.000,192.000,193.000,193.000,194.000,195.000,196.000,197.000,198.000,199.000,200.000,201.000,202.000,202.000,204.000,204.000,205.000,206.000,207.000,208.000,209.000,210.000,210.000,211.000,212.000,213.000,214.000,215.000,215.000,217.000,217.000,218.000,219.000,220.000,220.000,221.000,222.000,223.000,251.000,344.000,438.000,617.000,628.000,640.000,651.000,746.000,850.000,954.000,1058.000,1162.000,1266.000,1370.000,1474.000,1578.000,1682.000,1786.000,1890.000,1994.000,2098.000,2202.000,2306.000,2410.000,2514.000,2515.000,2515.000,2516.000,2517.000,2508.000,2478.000,2429.000,2359.000,2269.000,2158.000,2028.000,1877.000,1707.000,1516.000,1305.000,1073.000,822.000,550.000,258.000,259.000,260.000,261.000,261.000,298.000,391.000,484.000,543.000,451.000,359.000,267.000,267.000,268.000,269.000,269.000,270.000,271.000,271.000,272.000,273.000,274.000,275.000,275.000,276.000,276.000,277.000,278.000,279.000,279.000,280.000,281.000,282.000,282.000,283.000,283.000,284.000,285.000,285.000,286.000,287.000,287.000,288.000,289.000,289.000,290.000,291.000,291.000,292.000,293.000,293.000,294.000,295.000,339.000,432.000,526.000,567.000,475.000,383.000,299.000,300.000,300.000,301.000,302.000,302.000,303.000,303.000,304.000,304.000,305.000,306.000,306.000,307.000,307.000,308.000,309.000,309.000,310.000,310.000,311.000,312.000,312.000,312.000,313.000,313.000,314.000,315.000,315.000,316.000,316.000,317.000,318.000</history>
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-23 19:00:00 with the hour (H) frequency. During the periods of 2025-10-11 21:00:00 to 2025-10-13 01:00:00 and 2025-10-18 06:00:00 to 2025-10-20 00:00:00, the team was in a deadline and required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
Forecast the electricty consumption in the next 180 hours, from 2025-10-23 20:00:00 to 2025-10-31 07:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template0/item4
|
GIFT synthesize
|
anomaly
|
H
|
164.000,183.000,168.000,148.000,142.000,172.000,134.000,163.000,191.000,218.000,159.000,164.000,132.000,218.000,178.000,147.000,141.000,174.000,190.000,197.000,212.000,181.000,228.000,239.000,208.000,167.000,160.000,154.000,150.000,168.000,187.000,2.000,400.000,783.000,951.000,1072.000,1342.000,1208.000,1095.000,1521.000,1473.000,1517.000,1339.000,1304.000,1116.000,1458.000,1232.000,1242.000,858.000,1048.000,651.000,873.000,921.000,524.000,625.000,265.000,385.000,202.000,319.000,107.000,152.000,169.000,163.000,188.000,173.000,203.000,160.000,169.000,200.000,180.000,171.000,154.000,164.000,170.000,191.000,148.000,189.000,144.000,184.000,165.000,199.000,155.000,152.000,167.000,165.000,160.000,196.000,180.000,141.000,181.000,192.000,245.000,200.000,154.000,192.000,190.000,231.000,200.000,151.000,192.000,284.000,396.000,414.000,563.000,614.000,669.000,757.000,807.000,786.000,791.000,763.000,795.000,731.000,743.000,643.000,672.000,595.000,494.000,428.000,455.000,409.000,354.000,341.000,304.000,204.000,212.000,197.000,172.000,182.000,141.000,162.000,110.000,168.000,222.000,167.000,129.000,153.000,157.000,151.000,126.000,182.000,199.000,220.000,161.000,151.000,221.000,214.000,182.000,257.000,166.000,128.000,213.000,150.000,127.000,154.000,186.000
|
2025-10-10 00:00:00
|
2025-10-16 11:00:00
|
182.000,187.000,161.000,182.000,144.000,171.000,146.000,155.000,154.000,150.000,125.000,215.000,161.000,116.000,142.000,159.000,184.000,197.000,161.000,173.000,126.000,150.000,186.000,137.000,190.000,187.000,145.000,196.000,157.000,195.000,174.000,185.000,135.000,137.000,217.000,166.000,174.000,193.000,179.000,188.000,168.000,172.000,127.000,185.000,183.000,216.000,146.000,187.000,225.000,166.000,178.000,185.000,140.000,150.000,218.000,188.000,211.000,179.000,192.000,204.000,197.000,145.000,154.000,198.000,175.000,178.000,195.000,134.000,211.000,192.000,216.000,121.000,167.000,162.000,169.000,135.000,161.000,209.000,131.000,186.000,189.000,154.000,131.000,219.000,210.000,170.000,195.000,126.000,139.000,208.000,171.000,163.000,225.000,177.000,150.000,199.000,144.000,163.000,184.000,199.000
|
2025-10-16 12:00:00
|
2025-10-20 15:00:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the electricty consumption in the next 100 hours, from 2025-10-16 12:00:00 to 2025-10-20 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-16 11:00:00 with the hour (H) frequency. There were some deadline periods that required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
|
<history>164.000,183.000,168.000,148.000,142.000,172.000,134.000,163.000,191.000,218.000,159.000,164.000,132.000,218.000,178.000,147.000,141.000,174.000,190.000,197.000,212.000,181.000,228.000,239.000,208.000,167.000,160.000,154.000,150.000,168.000,187.000,2.000,400.000,783.000,951.000,1072.000,1342.000,1208.000,1095.000,1521.000,1473.000,1517.000,1339.000,1304.000,1116.000,1458.000,1232.000,1242.000,858.000,1048.000,651.000,873.000,921.000,524.000,625.000,265.000,385.000,202.000,319.000,107.000,152.000,169.000,163.000,188.000,173.000,203.000,160.000,169.000,200.000,180.000,171.000,154.000,164.000,170.000,191.000,148.000,189.000,144.000,184.000,165.000,199.000,155.000,152.000,167.000,165.000,160.000,196.000,180.000,141.000,181.000,192.000,245.000,200.000,154.000,192.000,190.000,231.000,200.000,151.000,192.000,284.000,396.000,414.000,563.000,614.000,669.000,757.000,807.000,786.000,791.000,763.000,795.000,731.000,743.000,643.000,672.000,595.000,494.000,428.000,455.000,409.000,354.000,341.000,304.000,204.000,212.000,197.000,172.000,182.000,141.000,162.000,110.000,168.000,222.000,167.000,129.000,153.000,157.000,151.000,126.000,182.000,199.000,220.000,161.000,151.000,221.000,214.000,182.000,257.000,166.000,128.000,213.000,150.000,127.000,154.000,186.000</history>
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-16 11:00:00 with the hour (H) frequency. There were some deadline periods that required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
Forecast the electricty consumption in the next 100 hours, from 2025-10-16 12:00:00 to 2025-10-20 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template1/item4
|
GIFT synthesize
|
anomaly
|
H
|
91.000,74.000,59.000,90.000,94.000,48.000,104.000,91.000,51.000,68.000,68.000,70.000,69.000,97.000,47.000,80.000,109.000,76.000,97.000,78.000,108.000,63.000,80.000,83.000,56.000,73.000,76.000,115.000,78.000,67.000,55.000,85.000,90.000,95.000,95.000,149.000,152.000,200.000,235.000,262.000,256.000,317.000,367.000,384.000,372.000,376.000,364.000,373.000,432.000,428.000,428.000,442.000,392.000,321.000,303.000,275.000,265.000,200.000,199.000,173.000,154.000,136.000,96.000,97.000,112.000,81.000,74.000,51.000,94.000,82.000,95.000,57.000,75.000,53.000,70.000,77.000,124.000,102.000,69.000,95.000,70.000,84.000,84.000,78.000,55.000,90.000,72.000,82.000,61.000,85.000,71.000,116.000,106.000,68.000,49.000,52.000,81.000,73.000,94.000,78.000,80.000,108.000,95.000,91.000,93.000,80.000,89.000,83.000,46.000,40.000,229.000,315.000,360.000,382.000,410.000,363.000,330.000,308.000,323.000,260.000,302.000,317.000,310.000,265.000,287.000,262.000,302.000,282.000,307.000,299.000,285.000,286.000,298.000,271.000,289.000,277.000,314.000,274.000,293.000,268.000,268.000,318.000,295.000,293.000,287.000,291.000,310.000,277.000,334.000,297.000,316.000,290.000,293.000,276.000,267.000,301.000
|
2025-10-10 00:00:00
|
2025-10-16 11:00:00
|
326.000,312.000,282.000,288.000,305.000,308.000,307.000,284.000,270.000,284.000,291.000,273.000,289.000,273.000,302.000,287.000,311.000,272.000,294.000,302.000,292.000,300.000,279.000,261.000,267.000,256.000,273.000,273.000,295.000,275.000,285.000,282.000,259.000,285.000,313.000,297.000,266.000,323.000,284.000,272.000,314.000,313.000,303.000,298.000,301.000,232.000,269.000,274.000,302.000,283.000,294.000,287.000,275.000,303.000,286.000,273.000,278.000,291.000,275.000,275.000,276.000,272.000,295.000,311.000,315.000,298.000,308.000,255.000,274.000,314.000,307.000,297.000,272.000,330.000,292.000,304.000,288.000,298.000,271.000,288.000,280.000,304.000,282.000,296.000,286.000,298.000,247.000,269.000,290.000,260.000,285.000,294.000,284.000,303.000,295.000,298.000,273.000,299.000,293.000,289.000
|
2025-10-16 12:00:00
|
2025-10-20 15:00:00
|
,
| 100
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the electricty consumption in the next 100 hours, from 2025-10-16 12:00:00 to 2025-10-20 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-16 11:00:00 with the hour (H) frequency. There were some deadline periods that required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
|
<history>91.000,74.000,59.000,90.000,94.000,48.000,104.000,91.000,51.000,68.000,68.000,70.000,69.000,97.000,47.000,80.000,109.000,76.000,97.000,78.000,108.000,63.000,80.000,83.000,56.000,73.000,76.000,115.000,78.000,67.000,55.000,85.000,90.000,95.000,95.000,149.000,152.000,200.000,235.000,262.000,256.000,317.000,367.000,384.000,372.000,376.000,364.000,373.000,432.000,428.000,428.000,442.000,392.000,321.000,303.000,275.000,265.000,200.000,199.000,173.000,154.000,136.000,96.000,97.000,112.000,81.000,74.000,51.000,94.000,82.000,95.000,57.000,75.000,53.000,70.000,77.000,124.000,102.000,69.000,95.000,70.000,84.000,84.000,78.000,55.000,90.000,72.000,82.000,61.000,85.000,71.000,116.000,106.000,68.000,49.000,52.000,81.000,73.000,94.000,78.000,80.000,108.000,95.000,91.000,93.000,80.000,89.000,83.000,46.000,40.000,229.000,315.000,360.000,382.000,410.000,363.000,330.000,308.000,323.000,260.000,302.000,317.000,310.000,265.000,287.000,262.000,302.000,282.000,307.000,299.000,285.000,286.000,298.000,271.000,289.000,277.000,314.000,274.000,293.000,268.000,268.000,318.000,295.000,293.000,287.000,291.000,310.000,277.000,334.000,297.000,316.000,290.000,293.000,276.000,267.000,301.000</history>
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-16 11:00:00 with the hour (H) frequency. There were some deadline periods that required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
Forecast the electricty consumption in the next 100 hours, from 2025-10-16 12:00:00 to 2025-10-20 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template2/item4
|
GIFT synthesize
|
anomaly
|
H
|
93.000,89.000,112.000,125.000,154.000,123.000,135.000,114.000,108.000,140.000,78.000,103.000,89.000,106.000,130.000,61.000,78.000,76.000,72.000,60.000,69.000,56.000,105.000,60.000,132.000,86.000,130.000,110.000,82.000,84.000,126.000,119.000,81.000,116.000,131.000,117.000,123.000,151.000,111.000,83.000,122.000,78.000,67.000,116.000,105.000,130.000,104.000,72.000,48.000,38.000,35.000,47.000,95.000,91.000,127.000,103.000,101.000,137.000,117.000,91.000,100.000,117.000,96.000,100.000,139.000,103.000,71.000,139.000,117.000,118.000,106.000,125.000,49.000,77.000,94.000,110.000,73.000,66.000,54.000,83.000,70.000,69.000,85.000,96.000,103.000,129.000,121.000,102.000,78.000,61.000,117.000,81.000,96.000,68.000,62.000,111.000,134.000,110.000,144.000,108.000,112.000,97.000,57.000,100.000,86.000,84.000,87.000,75.000,73.000,69.000,71.000,53.000,72.000,74.000,85.000,85.000,91.000,71.000,118.000,100.000,129.000,106.000,76.000,104.000,110.000,96.000,132.000,134.000,115.000,98.000,110.000,84.000,87.000,95.000,76.000,121.000,87.000,98.000,57.000,73.000,70.000,51.000,67.000,71.000,72.000,92.000,71.000,114.000,105.000,89.000,106.000,110.000,111.000,90.000,96.000,78.000,67.000,112.000,124.000,115.000,120.000,103.000,72.000,94.000,102.000,107.000,99.000,97.000,81.000,92.000,51.000,49.000,92.000,102.000,116.000,167.000,194.000,207.000,319.000,282.000,314.000,356.000,355.000,368.000,363.000,336.000,365.000,350.000,355.000,277.000,307.000,244.000,164.000,175.000,82.000,96.000,81.000,90.000,97.000,98.000,63.000,41.000,45.000,63.000,73.000,65.000,115.000,102.000,135.000,106.000,117.000,105.000,80.000,96.000,62.000,120.000,112.000,103.000,94.000,105.000,99.000,134.000,105.000,114.000,123.000,107.000,111.000,71.000,113.000,109.000,48.000,68.000,72.000,82.000,63.000,94.000,93.000,108.000,106.000,73.000,62.000,100.000,112.000,118.000,94.000,101.000,94.000,87.000,136.000,82.000,126.000,90.000,123.000,101.000,107.000,123.000,97.000,77.000,119.000,92.000,57.000,74.000,76.000,60.000,77.000,82.000,106.000,127.000,161.000,160.000,131.000,153.000,154.000,181.000,177.000,220.000,206.000,195.000,222.000,203.000,258.000,271.000,277.000,269.000,302.000,266.000,259.000,287.000,309.000,292.000,286.000,285.000,285.000,341.000
|
2025-10-10 00:00:00
|
2025-10-22 05:00:00
|
302.000,326.000,328.000,326.000,328.000,281.000,283.000,291.000,241.000,221.000,221.000,214.000,189.000,193.000,193.000,158.000,136.000,160.000,142.000,147.000,94.000,109.000,140.000,61.000,106.000,57.000,111.000,99.000,82.000,10.000,58.000,48.000,88.000,103.000,97.000,77.000,116.000,98.000,101.000,115.000,111.000,116.000,97.000,113.000,106.000,108.000,128.000,141.000,97.000,140.000,133.000,129.000,102.000,93.000,92.000,74.000,94.000,83.000,75.000,49.000,30.000,47.000,76.000,68.000,129.000,85.000,109.000,70.000,104.000,123.000,92.000,105.000,95.000,106.000,120.000,120.000,91.000,93.000,109.000,130.000,140.000,104.000,121.000,78.000,73.000,85.000,97.000,92.000,61.000,62.000
|
2025-10-22 06:00:00
|
2025-10-25 23:00:00
|
,
| 90
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the electricty consumption in the next 90 hours, from 2025-10-22 06:00:00 to 2025-10-25 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-22 05:00:00 with the hour (H) frequency. There were some deadline periods that required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
|
<history>93.000,89.000,112.000,125.000,154.000,123.000,135.000,114.000,108.000,140.000,78.000,103.000,89.000,106.000,130.000,61.000,78.000,76.000,72.000,60.000,69.000,56.000,105.000,60.000,132.000,86.000,130.000,110.000,82.000,84.000,126.000,119.000,81.000,116.000,131.000,117.000,123.000,151.000,111.000,83.000,122.000,78.000,67.000,116.000,105.000,130.000,104.000,72.000,48.000,38.000,35.000,47.000,95.000,91.000,127.000,103.000,101.000,137.000,117.000,91.000,100.000,117.000,96.000,100.000,139.000,103.000,71.000,139.000,117.000,118.000,106.000,125.000,49.000,77.000,94.000,110.000,73.000,66.000,54.000,83.000,70.000,69.000,85.000,96.000,103.000,129.000,121.000,102.000,78.000,61.000,117.000,81.000,96.000,68.000,62.000,111.000,134.000,110.000,144.000,108.000,112.000,97.000,57.000,100.000,86.000,84.000,87.000,75.000,73.000,69.000,71.000,53.000,72.000,74.000,85.000,85.000,91.000,71.000,118.000,100.000,129.000,106.000,76.000,104.000,110.000,96.000,132.000,134.000,115.000,98.000,110.000,84.000,87.000,95.000,76.000,121.000,87.000,98.000,57.000,73.000,70.000,51.000,67.000,71.000,72.000,92.000,71.000,114.000,105.000,89.000,106.000,110.000,111.000,90.000,96.000,78.000,67.000,112.000,124.000,115.000,120.000,103.000,72.000,94.000,102.000,107.000,99.000,97.000,81.000,92.000,51.000,49.000,92.000,102.000,116.000,167.000,194.000,207.000,319.000,282.000,314.000,356.000,355.000,368.000,363.000,336.000,365.000,350.000,355.000,277.000,307.000,244.000,164.000,175.000,82.000,96.000,81.000,90.000,97.000,98.000,63.000,41.000,45.000,63.000,73.000,65.000,115.000,102.000,135.000,106.000,117.000,105.000,80.000,96.000,62.000,120.000,112.000,103.000,94.000,105.000,99.000,134.000,105.000,114.000,123.000,107.000,111.000,71.000,113.000,109.000,48.000,68.000,72.000,82.000,63.000,94.000,93.000,108.000,106.000,73.000,62.000,100.000,112.000,118.000,94.000,101.000,94.000,87.000,136.000,82.000,126.000,90.000,123.000,101.000,107.000,123.000,97.000,77.000,119.000,92.000,57.000,74.000,76.000,60.000,77.000,82.000,106.000,127.000,161.000,160.000,131.000,153.000,154.000,181.000,177.000,220.000,206.000,195.000,222.000,203.000,258.000,271.000,277.000,269.000,302.000,266.000,259.000,287.000,309.000,292.000,286.000,285.000,285.000,341.000</history>
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-22 05:00:00 with the hour (H) frequency. There were some deadline periods that required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
Forecast the electricty consumption in the next 90 hours, from 2025-10-22 06:00:00 to 2025-10-25 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template3/item4
|
GIFT synthesize
|
anomaly
|
H
|
6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,57.000,108.000,159.000,211.000,262.000,313.000,649.000,649.000,649.000,655.000,658.000,595.000,644.000,656.000,597.000,198.000,185.000,165.000,208.000,206.000,160.000,202.000,187.000,164.000,92.000,173.000,136.000,102.000,95.000,121.000,70.000,15.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,454.000,843.000,1172.000,1777.000,1986.000,2135.000,2225.000,2225.000,2225.000,2225.000,1927.000,1636.000,1359.000,768.000,541.000,346.000,190.000,76.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,341.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,341.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000
|
2025-10-10 00:00:00
|
2025-10-20 23:00:00
|
6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,341.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,341.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000
|
2025-10-21 00:00:00
|
2025-10-25 23:00:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the electricty consumption in the next 120 hours, from 2025-10-21 00:00:00 to 2025-10-25 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-20 23:00:00 with the hour (H) frequency. There were some deadline periods that required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
|
<history>6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,57.000,108.000,159.000,211.000,262.000,313.000,649.000,649.000,649.000,655.000,658.000,595.000,644.000,656.000,597.000,198.000,185.000,165.000,208.000,206.000,160.000,202.000,187.000,164.000,92.000,173.000,136.000,102.000,95.000,121.000,70.000,15.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,454.000,843.000,1172.000,1777.000,1986.000,2135.000,2225.000,2225.000,2225.000,2225.000,1927.000,1636.000,1359.000,768.000,541.000,346.000,190.000,76.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,341.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,342.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,341.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,342.000,342.000,342.000,342.000,342.000,342.000,342.000,341.000,342.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000,6.000</history>
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-20 23:00:00 with the hour (H) frequency. There were some deadline periods that required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
Forecast the electricty consumption in the next 120 hours, from 2025-10-21 00:00:00 to 2025-10-25 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
anomaly_implicit/template4/item4
|
GIFT synthesize
|
anomaly
|
H
|
36.000,36.000,37.000,38.000,39.000,40.000,126.000,220.000,313.000,274.000,182.000,91.000,48.000,49.000,50.000,50.000,52.000,53.000,53.000,54.000,56.000,57.000,57.000,58.000,60.000,61.000,62.000,63.000,64.000,65.000,66.000,67.000,68.000,69.000,70.000,71.000,72.000,73.000,74.000,75.000,76.000,77.000,78.000,79.000,80.000,81.000,57.000,88.000,98.000,152.000,186.000,210.000,238.000,259.000,425.000,504.000,613.000,563.000,486.000,443.000,433.000,434.000,435.000,424.000,457.000,324.000,251.000,336.000,325.000,302.000,280.000,158.000,156.000,129.000,110.000,111.000,112.000,113.000,114.000,115.000,116.000,117.000,118.000,119.000,120.000,121.000,122.000,123.000,124.000,125.000,126.000,127.000,128.000,129.000,130.000,131.000,132.000,132.000,133.000,135.000,136.000,146.000,239.000,333.000,426.000,353.000,261.000,169.000,143.000,144.000,145.000,146.000,147.000,148.000,149.000,150.000,151.000,152.000,153.000,154.000,155.000,156.000,156.000,157.000,159.000,159.000,161.000,162.000,162.000,163.000,164.000,165.000,166.000,167.000,168.000,169.000,170.000,171.000,172.000,173.000,174.000,174.000,175.000,176.000,177.000,178.000,179.000,180.000,181.000,200.000,294.000,387.000,480.000,389.000,297.000,206.000,188.000,189.000,190.000,191.000,192.000,193.000,193.000,194.000,195.000,196.000,197.000,198.000,199.000,200.000,201.000,202.000,202.000,204.000,204.000,205.000,206.000,207.000,208.000,209.000,210.000,210.000,211.000,212.000,213.000,214.000,215.000,215.000,217.000,217.000,218.000,219.000,220.000,220.000,221.000,222.000,223.000,251.000,344.000,438.000,617.000,628.000,640.000,651.000,746.000,850.000,954.000,1058.000,1162.000,1266.000,1370.000,1474.000,1578.000,1682.000,1786.000,1890.000,1994.000,2098.000,2202.000,2306.000,2410.000,2514.000,2515.000,2515.000,2516.000,2517.000,2508.000,2478.000,2429.000,2359.000,2269.000,2158.000,2028.000,1877.000,1707.000,1516.000,1305.000,1073.000,822.000,550.000,258.000,259.000,260.000,261.000,261.000,298.000,391.000,484.000,543.000,451.000,359.000,267.000,267.000,268.000,269.000,269.000,270.000,271.000,271.000,272.000,273.000,274.000,275.000,275.000,276.000,276.000,277.000,278.000,279.000,279.000,280.000,281.000,282.000,282.000,283.000,283.000,284.000,285.000,285.000,286.000,287.000,287.000,288.000,289.000,289.000,290.000,291.000,291.000,292.000,293.000,293.000,294.000,295.000,339.000,432.000,526.000,567.000,475.000,383.000,299.000,300.000,300.000,301.000,302.000,302.000,303.000,303.000,304.000,304.000,305.000,306.000,306.000,307.000,307.000,308.000,309.000,309.000,310.000,310.000,311.000,312.000,312.000,312.000,313.000,313.000,314.000,315.000,315.000,316.000,316.000,317.000,318.000
|
2025-10-10 00:00:00
|
2025-10-23 19:00:00
|
318.000,319.000,319.000,320.000,320.000,321.000,321.000,322.000,322.000,376.000,469.000,561.000,586.000,493.000,402.000,326.000,326.000,326.000,327.000,328.000,328.000,329.000,329.000,330.000,330.000,331.000,331.000,332.000,332.000,332.000,333.000,333.000,334.000,334.000,335.000,335.000,336.000,336.000,336.000,337.000,337.000,338.000,338.000,339.000,339.000,339.000,340.000,340.000,341.000,341.000,341.000,342.000,342.000,343.000,343.000,343.000,344.000,405.000,499.000,592.000,598.000,506.000,414.000,346.000,346.000,347.000,347.000,348.000,348.000,348.000,349.000,349.000,349.000,350.000,350.000,350.000,351.000,351.000,351.000,351.000,352.000,352.000,352.000,353.000,353.000,353.000,354.000,354.000,354.000,355.000,355.000,355.000,355.000,356.000,356.000,356.000,357.000,356.000,357.000,357.000,357.000,358.000,358.000,358.000,358.000,429.000,522.000,614.000,603.000,511.000,419.000,360.000,360.000,361.000,361.000,361.000,361.000,361.000,361.000,362.000,362.000,362.000,362.000,362.000,363.000,363.000,363.000,363.000,363.000,363.000,363.000,364.000,364.000,364.000,364.000,364.000,364.000,365.000,365.000,365.000,365.000,365.000,365.000,365.000,365.000,365.000,365.000,366.000,366.000,366.000,366.000,366.000,366.000,445.000,538.000,630.000,602.000,509.000,417.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,367.000,368.000,367.000,367.000
|
2025-10-23 20:00:00
|
2025-10-31 07:00:00
|
,
| 180
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the electricty consumption in the next 180 hours, from 2025-10-23 20:00:00 to 2025-10-31 07:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-23 19:00:00 with the hour (H) frequency. There were some deadline periods that required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
|
<history>36.000,36.000,37.000,38.000,39.000,40.000,126.000,220.000,313.000,274.000,182.000,91.000,48.000,49.000,50.000,50.000,52.000,53.000,53.000,54.000,56.000,57.000,57.000,58.000,60.000,61.000,62.000,63.000,64.000,65.000,66.000,67.000,68.000,69.000,70.000,71.000,72.000,73.000,74.000,75.000,76.000,77.000,78.000,79.000,80.000,81.000,57.000,88.000,98.000,152.000,186.000,210.000,238.000,259.000,425.000,504.000,613.000,563.000,486.000,443.000,433.000,434.000,435.000,424.000,457.000,324.000,251.000,336.000,325.000,302.000,280.000,158.000,156.000,129.000,110.000,111.000,112.000,113.000,114.000,115.000,116.000,117.000,118.000,119.000,120.000,121.000,122.000,123.000,124.000,125.000,126.000,127.000,128.000,129.000,130.000,131.000,132.000,132.000,133.000,135.000,136.000,146.000,239.000,333.000,426.000,353.000,261.000,169.000,143.000,144.000,145.000,146.000,147.000,148.000,149.000,150.000,151.000,152.000,153.000,154.000,155.000,156.000,156.000,157.000,159.000,159.000,161.000,162.000,162.000,163.000,164.000,165.000,166.000,167.000,168.000,169.000,170.000,171.000,172.000,173.000,174.000,174.000,175.000,176.000,177.000,178.000,179.000,180.000,181.000,200.000,294.000,387.000,480.000,389.000,297.000,206.000,188.000,189.000,190.000,191.000,192.000,193.000,193.000,194.000,195.000,196.000,197.000,198.000,199.000,200.000,201.000,202.000,202.000,204.000,204.000,205.000,206.000,207.000,208.000,209.000,210.000,210.000,211.000,212.000,213.000,214.000,215.000,215.000,217.000,217.000,218.000,219.000,220.000,220.000,221.000,222.000,223.000,251.000,344.000,438.000,617.000,628.000,640.000,651.000,746.000,850.000,954.000,1058.000,1162.000,1266.000,1370.000,1474.000,1578.000,1682.000,1786.000,1890.000,1994.000,2098.000,2202.000,2306.000,2410.000,2514.000,2515.000,2515.000,2516.000,2517.000,2508.000,2478.000,2429.000,2359.000,2269.000,2158.000,2028.000,1877.000,1707.000,1516.000,1305.000,1073.000,822.000,550.000,258.000,259.000,260.000,261.000,261.000,298.000,391.000,484.000,543.000,451.000,359.000,267.000,267.000,268.000,269.000,269.000,270.000,271.000,271.000,272.000,273.000,274.000,275.000,275.000,276.000,276.000,277.000,278.000,279.000,279.000,280.000,281.000,282.000,282.000,283.000,283.000,284.000,285.000,285.000,286.000,287.000,287.000,288.000,289.000,289.000,290.000,291.000,291.000,292.000,293.000,293.000,294.000,295.000,339.000,432.000,526.000,567.000,475.000,383.000,299.000,300.000,300.000,301.000,302.000,302.000,303.000,303.000,304.000,304.000,305.000,306.000,306.000,307.000,307.000,308.000,309.000,309.000,310.000,310.000,311.000,312.000,312.000,312.000,313.000,313.000,314.000,315.000,315.000,316.000,316.000,317.000,318.000</history>
This time series records the elecitricy consumption (in Watts) of a home office. The data was recorded from 2025-10-10 00:00:00 to 2025-10-23 19:00:00 with the hour (H) frequency. There were some deadline periods that required more extensive machinery usage, leadning to higher power consumptions. However, the deadlines have passed and the electricty consumption will return to normal levels in the near future.
Forecast the electricty consumption in the next 180 hours, from 2025-10-23 20:00:00 to 2025-10-31 07:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template0/item4
|
GIFT synthesize
|
phase_change
|
H
|
132.709,143.681,153.423,161.263,167.841,173.403,178.252,183.377,188.803,195.039,201.054,206.577,210.432,212.148,210.885,206.295,198.386,188.100,176.189,164.487,153.658,145.727,141.099,140.027,142.538,147.559,153.515,159.152,162.701,163.212,159.448,151.423,140.069,126.048,111.038,97.029,85.449,77.524,74.272,75.735,81.357,90.531,101.744,114.085,125.794,136.578,145.599,152.980,159.062,164.471,169.588,175.002,180.940,187.139,193.081,198.022,201.006,201.358,198.595,192.452,183.200,171.987,159.848,148.490,138.860,132.077,128.989,129.676,133.351,138.836,144.501,149.042,151.176,149.681,143.908,134.095,121.486,107.123,92.435,79.450,69.815,63.965,63.175,66.799,74.259,84.739,96.284,108.363,119.730,129.484,137.581,144.274,149.762,154.754,160.020,165.786,171.538,177.596,183.056,187.214,188.976,187.813,183.399,175.949,165.989,154.324,142.512,131.833,123.830,118.898,117.660,119.608,124.153,129.940,135.273,138.788,139.343,135.869,128.370,117.346,103.969,89.515,75.925,64.595,56.803,53.331,54.474,59.811,68.339,79.296,91.090,102.514,112.987,121.867,129.091,135.146,140.425,145.387,150.763,156.502,162.242,168.042,172.743,175.492,175.924,173.371,167.249,158.510,147.712,136.124,124.906,115.600,140.239,166.384,191.852,214.450,231.688,237.434,237.464,234.915,228.870,218.909,205.036,187.996,169.324,155.021,142.172,132.359,126.245,124.867,127.876,134.563,144.278,155.466,167.429,178.475,188.591,196.880,203.872,209.726,215.053,220.535,226.162,231.997,237.930,243.063,246.910,248.566,247.260,242.865,235.422,225.543,214.138,202.656,192.273,184.013,179.246,177.920,179.789,184.190,189.865,195.168,198.737,199.191,195.782,188.563
|
2025-10-06 00:00:00
|
2025-10-14 13:00:00
|
177.730,164.293,149.906,135.979,124.222,116.026,112.068,112.764,117.560,126.000,136.853,148.610,160.553,171.403,180.778,188.711,195.300,201.144,206.475,212.171,218.006,223.978,229.651,234.467,237.277,237.859,235.067,229.198,220.487,209.781,198.023,186.699,177.095,170.172,167.010,166.927,169.876,175.096,180.669,185.217,187.416,186.104,180.855,171.835,159.569,145.438,131.115,118.119,108.052,101.988
|
2025-10-14 14:00:00
|
2025-10-16 15:00:00
|
,
| 50
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future electricity usage of this household in the next 50 hours, from 2025-10-14 14:00:00 to 2025-10-16 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the electricity usage (in Watt, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-14 13:00:00, and the recording frequency is hour (H). Initially, the owner started rennovation from 2025-10-12 06:00:00 to 2025-10-12 12:00:00 and did not stay at the unit, leading to low power usage of the first 157 readings. After the rennovation finished on 2025-10-12 13:00:00, the house is fully occupied, leading to a permanent increase in electricty usage.
|
<history>132.709,143.681,153.423,161.263,167.841,173.403,178.252,183.377,188.803,195.039,201.054,206.577,210.432,212.148,210.885,206.295,198.386,188.100,176.189,164.487,153.658,145.727,141.099,140.027,142.538,147.559,153.515,159.152,162.701,163.212,159.448,151.423,140.069,126.048,111.038,97.029,85.449,77.524,74.272,75.735,81.357,90.531,101.744,114.085,125.794,136.578,145.599,152.980,159.062,164.471,169.588,175.002,180.940,187.139,193.081,198.022,201.006,201.358,198.595,192.452,183.200,171.987,159.848,148.490,138.860,132.077,128.989,129.676,133.351,138.836,144.501,149.042,151.176,149.681,143.908,134.095,121.486,107.123,92.435,79.450,69.815,63.965,63.175,66.799,74.259,84.739,96.284,108.363,119.730,129.484,137.581,144.274,149.762,154.754,160.020,165.786,171.538,177.596,183.056,187.214,188.976,187.813,183.399,175.949,165.989,154.324,142.512,131.833,123.830,118.898,117.660,119.608,124.153,129.940,135.273,138.788,139.343,135.869,128.370,117.346,103.969,89.515,75.925,64.595,56.803,53.331,54.474,59.811,68.339,79.296,91.090,102.514,112.987,121.867,129.091,135.146,140.425,145.387,150.763,156.502,162.242,168.042,172.743,175.492,175.924,173.371,167.249,158.510,147.712,136.124,124.906,115.600,140.239,166.384,191.852,214.450,231.688,237.434,237.464,234.915,228.870,218.909,205.036,187.996,169.324,155.021,142.172,132.359,126.245,124.867,127.876,134.563,144.278,155.466,167.429,178.475,188.591,196.880,203.872,209.726,215.053,220.535,226.162,231.997,237.930,243.063,246.910,248.566,247.260,242.865,235.422,225.543,214.138,202.656,192.273,184.013,179.246,177.920,179.789,184.190,189.865,195.168,198.737,199.191,195.782,188.563</history>
This time series records the electricity usage (in Watt, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-14 13:00:00, and the recording frequency is hour (H). Initially, the owner started rennovation from 2025-10-12 06:00:00 to 2025-10-12 12:00:00 and did not stay at the unit, leading to low power usage of the first 157 readings. After the rennovation finished on 2025-10-12 13:00:00, the house is fully occupied, leading to a permanent increase in electricty usage.
Forecast the future electricity usage of this household in the next 50 hours, from 2025-10-14 14:00:00 to 2025-10-16 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template1/item4
|
GIFT synthesize
|
phase_change
|
H
|
165.057,169.811,169.712,164.879,156.188,146.097,137.006,130.171,125.972,123.336,120.636,117.313,112.221,106.740,102.167,99.314,98.602,98.738,98.039,94.948,88.956,80.992,73.681,70.336,73.104,82.259,95.815,109.662,118.650,119.470,110.546,94.137,74.559,57.892,49.511,51.684,64.656,85.001,108.136,129.805,147.488,160.283,169.767,177.719,185.965,195.314,204.270,211.137,213.462,210.970,203.759,194.026,184.029,176.014,170.547,167.424,164.969,161.836,157.432,151.757,146.186,142.125,140.119,139.809,139.671,138.091,133.467,126.254,118.230,112.398,111.569,117.502,129.218,143.325,155.506,160.820,156.917,143.961,125.284,106.381,93.174,89.880,97.558,114.684,137.388,160.694,180.937,196.393,207.431,216.016,224.028,233.083,242.308,250.629,255.585,255.898,251.148,242.531,232.431,222.975,215.863,211.370,208.201,205.187,201.260,195.864,190.080,185.241,182.325,181.381,181.622,180.889,177.855,171.681,163.497,156.023,152.126,154.653,163.654,177.468,191.301,200.863,201.852,193.137,176.465,156.626,139.641,130.530,132.680,145.585,166.342,190.289,212.863,231.134,244.473,253.987
|
2025-10-06 00:00:00
|
2025-10-11 15:00:00
|
261.954,270.255,279.504,288.482,295.503,298.472,296.501,289.569,280.219,269.999,261.482,255.292,251.375,248.124,244.570,239.849,237.619,242.410,255.612,277.115,307.423,344.263,386.124,431.748,424.146,415.706,409.717,408.687,414.708,426.570,441.197,453.616,459.486,455.902,442.652,423.769,404.366,390.506,386.597,394.137,411.293,434.336,457.942,478.787,494.575,505.737,514.200,522.011,530.657,539.897,548.001,553.213,553.878,549.262,540.993,530.791,521.188,514.056,509.177,506.024,502.919,499.009,493.895,488.410,483.694,480.708,479.917,480.081,479.453,476.467,470.366,462.270,454.715,450.847,453.321,462.131,475.756,489.807,499.555,501.029,492.539,476.462,456.726,439.643,430.379,431.887,444.262,464.368,487.893,510.116,528.238,541.280,550.788,558.628,566.813,575.902,584.830,591.652,594.641,592.415,585.472,575.764,565.834,557.425,551.806,548.450,545.986,542.974,538.603,533.327,527.967,523.719,521.908,521.561,521.538,520.301,516.012,509.108,501.106,495.278
|
2025-10-11 16:00:00
|
2025-10-16 15:00:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future electricity usage of this household in the next 120 hours, from 2025-10-11 16:00:00 to 2025-10-16 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the electricity usage (in Watt, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-11 15:00:00, and the recording frequency is hour (H). Initially, the owner started rennovation from 2025-10-12 06:00:00 to 2025-10-12 15:00:00 and did not stay at the unit, leading to low power usage of the first 160 readings. After the rennovation finished on 2025-10-12 16:00:00, the house is fully occupied, leading to a permanent increase in electricty usage.
|
<history>165.057,169.811,169.712,164.879,156.188,146.097,137.006,130.171,125.972,123.336,120.636,117.313,112.221,106.740,102.167,99.314,98.602,98.738,98.039,94.948,88.956,80.992,73.681,70.336,73.104,82.259,95.815,109.662,118.650,119.470,110.546,94.137,74.559,57.892,49.511,51.684,64.656,85.001,108.136,129.805,147.488,160.283,169.767,177.719,185.965,195.314,204.270,211.137,213.462,210.970,203.759,194.026,184.029,176.014,170.547,167.424,164.969,161.836,157.432,151.757,146.186,142.125,140.119,139.809,139.671,138.091,133.467,126.254,118.230,112.398,111.569,117.502,129.218,143.325,155.506,160.820,156.917,143.961,125.284,106.381,93.174,89.880,97.558,114.684,137.388,160.694,180.937,196.393,207.431,216.016,224.028,233.083,242.308,250.629,255.585,255.898,251.148,242.531,232.431,222.975,215.863,211.370,208.201,205.187,201.260,195.864,190.080,185.241,182.325,181.381,181.622,180.889,177.855,171.681,163.497,156.023,152.126,154.653,163.654,177.468,191.301,200.863,201.852,193.137,176.465,156.626,139.641,130.530,132.680,145.585,166.342,190.289,212.863,231.134,244.473,253.987</history>
This time series records the electricity usage (in Watt, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-11 15:00:00, and the recording frequency is hour (H). Initially, the owner started rennovation from 2025-10-12 06:00:00 to 2025-10-12 15:00:00 and did not stay at the unit, leading to low power usage of the first 160 readings. After the rennovation finished on 2025-10-12 16:00:00, the house is fully occupied, leading to a permanent increase in electricty usage.
Forecast the future electricity usage of this household in the next 120 hours, from 2025-10-11 16:00:00 to 2025-10-16 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template2/item4
|
GIFT synthesize
|
phase_change
|
H
|
38.740,38.741,38.733,38.737,38.737,38.735,49.734,49.726,49.736,49.730,49.728,49.730,49.727,49.732,49.734,49.734,38.732,38.735,38.727,38.735,38.732,38.732,38.735,38.729,38.729,38.734,38.727,38.735,38.739,38.733,38.739,38.736,38.731,38.731,38.738,38.732,38.733,38.734,38.740,38.739,38.740,38.739,38.740,38.734,38.733,38.738,38.735,38.734,38.739,49.731,49.728,49.729,49.733,49.736,49.725,49.735,49.732,49.729,49.726,38.740,38.739,38.737,38.731,38.734,38.734,38.740,38.739,38.732,38.733,38.730,38.734,38.731,38.743,38.736,38.736,38.733,38.734,38.735,38.736,38.732,38.743,38.738,38.738,38.736,39.010,39.854,41.252,43.198,45.719,48.794,48.787,59.791,59.775,59.772,59.761,59.758,59.761,59.765,59.763,59.765,59.763,59.770,48.772,48.772,48.763,48.766,48.770,48.772,48.770,48.759,48.771,48.769,48.766,48.763,48.769,48.760,48.766,48.764,48.763,48.763,48.767,48.772,48.769,48.771,48.768,48.765,48.763,48.759,48.768,48.771,48.770,48.772,48.768,48.769,59.758,59.766,59.766,59.762,59.760,59.764,59.759,59.764,59.764,59.767,48.769,48.773,48.768,48.769,48.765,48.762,48.767,48.761,48.771,48.762,48.771,48.775,48.762,48.764,48.765,48.770,48.773,48.765,48.762,48.770,48.772,48.765,48.761,48.767,48.766,48.773,48.764,48.772,48.769,48.769,48.769,48.763,59.767,59.760,59.765,59.766,59.768,59.764,59.763,59.763,59.759,59.764,59.762,48.771,48.765,48.762,48.763,48.763,48.767,48.765,48.769,48.768,48.768,48.761,48.766,48.773,48.765,48.766,48.770,48.765
|
2025-10-06 00:00:00
|
2025-10-14 11:00:00
|
48.772,48.765,48.766,48.767,48.772,48.769,48.766,48.763,48.769,48.768,48.766,48.764,48.768,48.766,48.764,59.762,59.761,59.762,59.763,59.758,59.764,59.767,59.759,59.762,59.762,48.770,48.766,48.763,48.771,48.760,48.764,48.767,48.768,48.763,48.769,48.771,48.769,48.769,48.768,48.767,48.766,48.774,48.776,48.765,48.770,48.763,48.770,48.767,48.767,48.767,48.764,48.769,48.762,48.765,48.759,48.774,48.776,48.770,59.766,59.766,59.764,59.761,59.764,59.765,59.761,59.769,59.763,59.762,48.768,48.773,48.767,48.765,48.769,48.774,48.769,48.776,48.769,48.766,48.769,48.765,48.762,48.765,48.766,48.763,48.769,48.768,48.770,48.771,48.769,48.763,48.766,48.769,48.764,48.762,48.762,48.768,48.769,48.768,48.768,48.772,59.762,59.766,59.765,59.763,59.763,59.770,59.761,59.762,59.766,59.758,48.767,48.769,48.773,48.767,48.767,48.763,48.770,48.768,48.767,48.767,48.767,48.767,48.775,48.766,48.765,48.767,48.770,48.767,48.766,48.767,48.765,48.772,48.765,48.767,48.768,48.765,48.769,48.768,48.768,48.766,48.763,48.765,48.763,59.764,59.768,59.766,59.767,59.763,59.765,59.762,59.770,59.759,59.756,48.766,48.768,48.766,48.763,48.767,48.771,48.768,48.766,48.766,48.769,48.768,48.766,48.761,48.767,48.769,48.766,48.767,48.766,48.770,48.767,48.764,48.770,48.769,48.776,48.762,48.765,48.769
|
2025-10-14 12:00:00
|
2025-10-21 11:00:00
|
,
| 180
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future electricity usage of this household in the next 180 hours, from 2025-10-14 12:00:00 to 2025-10-21 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the electricity usage (in Watt, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-14 11:00:00, and the recording frequency is hour (H). Initially, the owner started rennovation from 2025-10-09 10:00:00 to 2025-10-09 17:00:00 and did not stay at the unit, leading to low power usage of the first 90 readings. After the rennovation finished on 2025-10-09 18:00:00, the house is fully occupied, leading to a permanent increase in electricty usage.
|
<history>38.740,38.741,38.733,38.737,38.737,38.735,49.734,49.726,49.736,49.730,49.728,49.730,49.727,49.732,49.734,49.734,38.732,38.735,38.727,38.735,38.732,38.732,38.735,38.729,38.729,38.734,38.727,38.735,38.739,38.733,38.739,38.736,38.731,38.731,38.738,38.732,38.733,38.734,38.740,38.739,38.740,38.739,38.740,38.734,38.733,38.738,38.735,38.734,38.739,49.731,49.728,49.729,49.733,49.736,49.725,49.735,49.732,49.729,49.726,38.740,38.739,38.737,38.731,38.734,38.734,38.740,38.739,38.732,38.733,38.730,38.734,38.731,38.743,38.736,38.736,38.733,38.734,38.735,38.736,38.732,38.743,38.738,38.738,38.736,39.010,39.854,41.252,43.198,45.719,48.794,48.787,59.791,59.775,59.772,59.761,59.758,59.761,59.765,59.763,59.765,59.763,59.770,48.772,48.772,48.763,48.766,48.770,48.772,48.770,48.759,48.771,48.769,48.766,48.763,48.769,48.760,48.766,48.764,48.763,48.763,48.767,48.772,48.769,48.771,48.768,48.765,48.763,48.759,48.768,48.771,48.770,48.772,48.768,48.769,59.758,59.766,59.766,59.762,59.760,59.764,59.759,59.764,59.764,59.767,48.769,48.773,48.768,48.769,48.765,48.762,48.767,48.761,48.771,48.762,48.771,48.775,48.762,48.764,48.765,48.770,48.773,48.765,48.762,48.770,48.772,48.765,48.761,48.767,48.766,48.773,48.764,48.772,48.769,48.769,48.769,48.763,59.767,59.760,59.765,59.766,59.768,59.764,59.763,59.763,59.759,59.764,59.762,48.771,48.765,48.762,48.763,48.763,48.767,48.765,48.769,48.768,48.768,48.761,48.766,48.773,48.765,48.766,48.770,48.765</history>
This time series records the electricity usage (in Watt, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-14 11:00:00, and the recording frequency is hour (H). Initially, the owner started rennovation from 2025-10-09 10:00:00 to 2025-10-09 17:00:00 and did not stay at the unit, leading to low power usage of the first 90 readings. After the rennovation finished on 2025-10-09 18:00:00, the house is fully occupied, leading to a permanent increase in electricty usage.
Forecast the future electricity usage of this household in the next 180 hours, from 2025-10-14 12:00:00 to 2025-10-21 11:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template3/item4
|
GIFT synthesize
|
phase_change
|
H
|
79.742,79.063,86.222,76.930,84.691,79.866,87.759,81.304,84.841,80.333,83.924,80.176,81.411,75.950,80.680,77.341,77.195,78.938,82.396,76.844,82.374,79.167,87.615,79.174,83.193,78.850,83.360,74.784,85.056,80.058,87.639,76.094,75.190,78.901,80.077,82.486,78.898,74.105,78.360,81.768,76.696,81.486,81.798,80.041,81.032,75.219,78.188,73.829,79.651,76.403,80.317,83.180,80.059,77.519,79.229,78.668,82.284,82.832,83.230,78.956,73.038,79.686,76.949,80.672,78.929,77.098,81.483,78.555,78.467,73.778,80.837,84.068,82.882,76.190,80.597,80.521,73.619,79.700,80.495,80.236,78.739,81.961,75.726,79.708,81.695,76.971,78.811,78.908,79.253,75.633,82.097,75.398,72.778,78.252,73.336,75.657,82.099,76.221,76.601,79.863,74.472,82.036,77.812,70.522,77.874,78.420,81.142,74.461,78.184,76.748,78.071,79.467,74.394,74.037,78.648,75.933,71.957,76.965,79.025,74.126,77.715,82.693,77.742,73.636,76.686,73.518,75.119,83.150,73.126,76.581,76.217,80.699,78.692,76.638,70.522,71.524,80.705,76.011,82.754,76.833,71.016,73.772,79.510,71.372,76.159,74.337,78.941,75.845,78.123,76.936,73.845,75.594,72.385,76.366,74.924,74.095,71.766,78.000,73.009,75.409,74.992,71.812,75.621,73.657,75.295,76.190,71.499,75.940,78.007,77.731,67.887,78.174,74.022,75.728,78.033,75.777,74.792,72.577,75.790,76.084,76.626,72.374,79.719,74.874,73.349,78.532,71.949,76.821,76.146,75.265,81.224,79.776,68.180,83.778,73.685,73.917,73.178,69.740,74.973,71.011,73.005,98.818,98.355,97.508,101.160,93.679,97.376,94.126,89.737,93.620,94.638,92.443,85.559,89.955,86.559,88.457,95.994,87.234,85.747,90.585,93.896,97.726,94.268,92.418,96.770,88.063,88.231,96.116,86.676,84.970,93.842,92.385,92.831,94.656,90.532,88.415,86.129,89.543,90.290,87.166,91.720,94.346,91.510,88.326,92.378,90.329,92.824,87.554,93.491,89.029,88.231,86.078,85.474,86.439,86.607,85.532,92.594,89.758,89.880,90.977,88.637,83.403,86.754,87.856
|
2025-10-06 00:00:00
|
2025-10-16 23:00:00
|
88.898,82.918,86.021,92.559,87.151,85.991,83.629,91.887,85.893,96.535,88.453,84.282,90.163,90.264,84.888,85.919,86.031,83.832,87.644,87.422,88.927,87.573,92.675,83.083,86.834,83.967,83.720,85.167,89.120,85.145,85.258,87.397,87.010,88.283,89.725,83.795,85.880,83.311,87.421,84.490,82.227,86.920,83.536,82.076,86.535,87.043,84.509,85.157,83.317,89.286,89.143,87.529,78.653,87.528,86.207,86.736,86.029,88.573,87.121,87.152,87.311,83.388,88.823,84.340,89.957,85.614,87.595,86.489,88.458,80.594,84.957,82.995,87.007,85.323,84.935,86.864,83.922,88.199,85.656,83.481,86.455,85.986,83.443,89.720,88.600,85.126,84.250,84.928,83.144,89.540,85.007,86.908,82.773,82.337,83.186,91.157,88.965,81.823,89.362,88.216,81.465,79.401,86.437,83.747,78.863,82.806,78.478,88.402,86.820,85.897,85.242,84.774,80.935,88.731,87.960,82.519,85.924,84.677,81.185,82.194
|
2025-10-17 00:00:00
|
2025-10-21 23:00:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future electricity usage of this household in the next 120 hours, from 2025-10-17 00:00:00 to 2025-10-21 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the electricity usage (in Watt, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-16 23:00:00, and the recording frequency is hour (H). Initially, the owner started rennovation from 2025-10-14 07:00:00 to 2025-10-14 08:00:00 and did not stay at the unit, leading to low power usage of the first 201 readings. After the rennovation finished on 2025-10-14 09:00:00, the house is fully occupied, leading to a permanent increase in electricty usage.
|
<history>79.742,79.063,86.222,76.930,84.691,79.866,87.759,81.304,84.841,80.333,83.924,80.176,81.411,75.950,80.680,77.341,77.195,78.938,82.396,76.844,82.374,79.167,87.615,79.174,83.193,78.850,83.360,74.784,85.056,80.058,87.639,76.094,75.190,78.901,80.077,82.486,78.898,74.105,78.360,81.768,76.696,81.486,81.798,80.041,81.032,75.219,78.188,73.829,79.651,76.403,80.317,83.180,80.059,77.519,79.229,78.668,82.284,82.832,83.230,78.956,73.038,79.686,76.949,80.672,78.929,77.098,81.483,78.555,78.467,73.778,80.837,84.068,82.882,76.190,80.597,80.521,73.619,79.700,80.495,80.236,78.739,81.961,75.726,79.708,81.695,76.971,78.811,78.908,79.253,75.633,82.097,75.398,72.778,78.252,73.336,75.657,82.099,76.221,76.601,79.863,74.472,82.036,77.812,70.522,77.874,78.420,81.142,74.461,78.184,76.748,78.071,79.467,74.394,74.037,78.648,75.933,71.957,76.965,79.025,74.126,77.715,82.693,77.742,73.636,76.686,73.518,75.119,83.150,73.126,76.581,76.217,80.699,78.692,76.638,70.522,71.524,80.705,76.011,82.754,76.833,71.016,73.772,79.510,71.372,76.159,74.337,78.941,75.845,78.123,76.936,73.845,75.594,72.385,76.366,74.924,74.095,71.766,78.000,73.009,75.409,74.992,71.812,75.621,73.657,75.295,76.190,71.499,75.940,78.007,77.731,67.887,78.174,74.022,75.728,78.033,75.777,74.792,72.577,75.790,76.084,76.626,72.374,79.719,74.874,73.349,78.532,71.949,76.821,76.146,75.265,81.224,79.776,68.180,83.778,73.685,73.917,73.178,69.740,74.973,71.011,73.005,98.818,98.355,97.508,101.160,93.679,97.376,94.126,89.737,93.620,94.638,92.443,85.559,89.955,86.559,88.457,95.994,87.234,85.747,90.585,93.896,97.726,94.268,92.418,96.770,88.063,88.231,96.116,86.676,84.970,93.842,92.385,92.831,94.656,90.532,88.415,86.129,89.543,90.290,87.166,91.720,94.346,91.510,88.326,92.378,90.329,92.824,87.554,93.491,89.029,88.231,86.078,85.474,86.439,86.607,85.532,92.594,89.758,89.880,90.977,88.637,83.403,86.754,87.856</history>
This time series records the electricity usage (in Watt, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-16 23:00:00, and the recording frequency is hour (H). Initially, the owner started rennovation from 2025-10-14 07:00:00 to 2025-10-14 08:00:00 and did not stay at the unit, leading to low power usage of the first 201 readings. After the rennovation finished on 2025-10-14 09:00:00, the house is fully occupied, leading to a permanent increase in electricty usage.
Forecast the future electricity usage of this household in the next 120 hours, from 2025-10-17 00:00:00 to 2025-10-21 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_explicit/template4/item4
|
GIFT synthesize
|
phase_change
|
H
|
50.191,50.381,51.211,51.715,52.023,51.889,52.479,51.565,52.422,52.319,52.907,53.439,51.290,51.519,51.671,53.014,52.401,53.820,54.598,54.667,54.008,53.710,53.791,53.038,53.753,54.060,55.180,53.996,54.301,52.806,51.644,51.504,51.685,50.712,50.384,50.456,49.482,50.258,50.259,50.949,52.511,51.593,51.579,51.852,53.142,52.443,51.893,53.745,52.764,53.091,51.727,52.294,53.731,52.354,54.403,54.733,54.160,54.517,54.370,53.407,53.960,53.995,53.784,55.646,54.061,54.344,54.578,53.456,53.460,53.148,51.305,50.757,49.423,50.776,49.642,49.936,51.903,51.834,52.188,52.442,53.467,51.648,52.208,53.345,54.390,53.343,53.201,53.006,52.647,52.240,52.737,53.381,54.460,54.458,54.594,55.511,54.953,53.044,54.097,54.295,53.938,54.817,54.789,56.264,54.902,55.221,53.993,52.354,52.321,53.092,51.606,50.529,50.439,50.875,51.921,51.760,52.632,52.906,52.722,52.432,52.081,52.869,54.417,53.430,52.992,53.659,53.353,53.232,52.870,53.635,54.053,54.332,54.888,55.217,55.554,53.814,54.130,55.452,54.221,55.685,55.487,56.032,55.983,55.237,52.889,52.727,52.578,50.874,50.975,51.686,50.487,50.213,50.827,52.154,51.715,52.933,52.543,52.295,53.299,54.156,54.395,54.491,52.982,54.473,56.994,60.165,61.484,64.540,65.990,66.104,66.070,66.287,64.828,64.447,63.989,65.243,65.606,65.732,67.045,66.447,66.558,65.775,65.058,62.967,63.803,63.001,61.529,61.674,60.793,62.376,63.608,63.324,63.764,62.928,62.533,64.939,63.768,64.219,64.492,65.626,65.830,64.936,63.687,64.646,64.377,64.005,65.360,66.180,65.791,65.947,65.815,65.146,64.370,63.935,65.360,65.914,65.891,65.281,65.128,63.997,63.881,62.762,63.321,61.835,61.443,61.087,60.923,61.791,61.527,61.670,62.529,62.151,62.580,62.454,62.642,62.289,63.110,63.388,62.669,62.291,62.312,61.809,62.168,63.111,63.107,64.255,64.123,63.274,63.097,62.889,62.768,63.007,63.809,64.019,63.660,64.056,63.901,62.304,61.591,60.801,59.942,59.560,58.815,59.329,59.573,60.462,60.436,60.482,60.267,61.055,60.227,60.749,61.252,60.866,61.134,60.554,61.277,61.082,59.342,60.955,60.917,60.393,62.543,62.010,61.848,62.194,61.550,59.528,60.572,61.124,60.552,61.983,60.405,61.452,60.901,59.537,59.459,58.632,57.750,57.846,57.221,56.672,55.783,55.716,57.806,56.391,58.482,58.747,58.242,58.332,58.997,58.455,58.871,60.414,59.359,59.108,57.913,58.288,59.150,59.081,60.260,61.574,61.098,59.833,59.565,60.129,59.436,59.737,60.602,61.061,59.942,60.404
|
2025-10-06 00:00:00
|
2025-10-19 19:00:00
|
59.438,59.810,57.749,57.063,56.611,56.396,56.530,56.209,55.515,56.406,57.065,56.921,57.175,57.301,56.807,57.488,57.792,58.862,58.406,58.257,58.282,58.011,58.548,57.858,58.839,59.078,60.128,60.108,59.974,59.724,59.264,59.459,59.072,58.661,60.054,60.157,60.578,60.055,59.524,57.996,58.219,57.501,57.506,55.241,55.421,56.033,56.322,56.318,57.119,57.348,57.674,58.191,57.370,58.251,58.041,59.087,57.750,59.131,59.441,58.989,59.387,58.381,58.530,58.616,59.880,61.137,60.771,59.747,60.040,59.255,59.228,60.835,60.641,60.705,60.961,60.731,60.951,60.005,59.716,58.335,57.108,56.165,55.914,56.203,57.469,56.598,57.314,57.262,58.598,59.162,59.996,59.169,59.274,59.232,59.767,60.815,58.988,59.870,59.050,58.098,59.811,60.704,61.170,62.424,62.285,60.251,61.395,59.668,60.277,61.869,62.882,63.164,61.694,62.471,60.171,60.930,59.973,59.255,59.068,58.414,57.764,57.755,58.755,58.772,58.654,60.470,61.555,60.635,60.792,60.660,61.326,61.124,60.868,61.875,60.941,61.771,61.573,62.008,61.716,62.285,63.333,64.354,64.483,63.551,62.776,63.411,62.268,62.994,64.022,64.869,64.025,64.380,63.900,63.233,62.713,61.728,60.549,60.029,61.148,59.083,60.382,60.764,60.765,62.468,62.496,63.509,63.131,62.215,63.355,62.937,64.800,64.425,63.176,63.762,62.989,63.757,64.308,63.851,64.594,66.732
|
2025-10-19 20:00:00
|
2025-10-27 07:00:00
|
,
| 180
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future electricity usage of this household in the next 180 hours, from 2025-10-19 20:00:00 to 2025-10-27 07:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the electricity usage (in Watt, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-19 19:00:00, and the recording frequency is hour (H). Initially, the owner started rennovation from 2025-10-12 18:00:00 to 2025-10-13 00:00:00 and did not stay at the unit, leading to low power usage of the first 169 readings. After the rennovation finished on 2025-10-13 01:00:00, the house is fully occupied, leading to a permanent increase in electricty usage.
|
<history>50.191,50.381,51.211,51.715,52.023,51.889,52.479,51.565,52.422,52.319,52.907,53.439,51.290,51.519,51.671,53.014,52.401,53.820,54.598,54.667,54.008,53.710,53.791,53.038,53.753,54.060,55.180,53.996,54.301,52.806,51.644,51.504,51.685,50.712,50.384,50.456,49.482,50.258,50.259,50.949,52.511,51.593,51.579,51.852,53.142,52.443,51.893,53.745,52.764,53.091,51.727,52.294,53.731,52.354,54.403,54.733,54.160,54.517,54.370,53.407,53.960,53.995,53.784,55.646,54.061,54.344,54.578,53.456,53.460,53.148,51.305,50.757,49.423,50.776,49.642,49.936,51.903,51.834,52.188,52.442,53.467,51.648,52.208,53.345,54.390,53.343,53.201,53.006,52.647,52.240,52.737,53.381,54.460,54.458,54.594,55.511,54.953,53.044,54.097,54.295,53.938,54.817,54.789,56.264,54.902,55.221,53.993,52.354,52.321,53.092,51.606,50.529,50.439,50.875,51.921,51.760,52.632,52.906,52.722,52.432,52.081,52.869,54.417,53.430,52.992,53.659,53.353,53.232,52.870,53.635,54.053,54.332,54.888,55.217,55.554,53.814,54.130,55.452,54.221,55.685,55.487,56.032,55.983,55.237,52.889,52.727,52.578,50.874,50.975,51.686,50.487,50.213,50.827,52.154,51.715,52.933,52.543,52.295,53.299,54.156,54.395,54.491,52.982,54.473,56.994,60.165,61.484,64.540,65.990,66.104,66.070,66.287,64.828,64.447,63.989,65.243,65.606,65.732,67.045,66.447,66.558,65.775,65.058,62.967,63.803,63.001,61.529,61.674,60.793,62.376,63.608,63.324,63.764,62.928,62.533,64.939,63.768,64.219,64.492,65.626,65.830,64.936,63.687,64.646,64.377,64.005,65.360,66.180,65.791,65.947,65.815,65.146,64.370,63.935,65.360,65.914,65.891,65.281,65.128,63.997,63.881,62.762,63.321,61.835,61.443,61.087,60.923,61.791,61.527,61.670,62.529,62.151,62.580,62.454,62.642,62.289,63.110,63.388,62.669,62.291,62.312,61.809,62.168,63.111,63.107,64.255,64.123,63.274,63.097,62.889,62.768,63.007,63.809,64.019,63.660,64.056,63.901,62.304,61.591,60.801,59.942,59.560,58.815,59.329,59.573,60.462,60.436,60.482,60.267,61.055,60.227,60.749,61.252,60.866,61.134,60.554,61.277,61.082,59.342,60.955,60.917,60.393,62.543,62.010,61.848,62.194,61.550,59.528,60.572,61.124,60.552,61.983,60.405,61.452,60.901,59.537,59.459,58.632,57.750,57.846,57.221,56.672,55.783,55.716,57.806,56.391,58.482,58.747,58.242,58.332,58.997,58.455,58.871,60.414,59.359,59.108,57.913,58.288,59.150,59.081,60.260,61.574,61.098,59.833,59.565,60.129,59.436,59.737,60.602,61.061,59.942,60.404</history>
This time series records the electricity usage (in Watt, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-19 19:00:00, and the recording frequency is hour (H). Initially, the owner started rennovation from 2025-10-12 18:00:00 to 2025-10-13 00:00:00 and did not stay at the unit, leading to low power usage of the first 169 readings. After the rennovation finished on 2025-10-13 01:00:00, the house is fully occupied, leading to a permanent increase in electricty usage.
Forecast the future electricity usage of this household in the next 180 hours, from 2025-10-19 20:00:00 to 2025-10-27 07:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template0/item4
|
GIFT synthesize
|
phase_change
|
H
|
132.709,143.681,153.423,161.263,167.841,173.403,178.252,183.377,188.803,195.039,201.054,206.577,210.432,212.148,210.885,206.295,198.386,188.100,176.189,164.487,153.658,145.727,141.099,140.027,142.538,147.559,153.515,159.152,162.701,163.212,159.448,151.423,140.069,126.048,111.038,97.029,85.449,77.524,74.272,75.735,81.357,90.531,101.744,114.085,125.794,136.578,145.599,152.980,159.062,164.471,169.588,175.002,180.940,187.139,193.081,198.022,201.006,201.358,198.595,192.452,183.200,171.987,159.848,148.490,138.860,132.077,128.989,129.676,133.351,138.836,144.501,149.042,151.176,149.681,143.908,134.095,121.486,107.123,92.435,79.450,69.815,63.965,63.175,66.799,74.259,84.739,96.284,108.363,119.730,129.484,137.581,144.274,149.762,154.754,160.020,165.786,171.538,177.596,183.056,187.214,188.976,187.813,183.399,175.949,165.989,154.324,142.512,131.833,123.830,118.898,117.660,119.608,124.153,129.940,135.273,138.788,139.343,135.869,128.370,117.346,103.969,89.515,75.925,64.595,56.803,53.331,54.474,59.811,68.339,79.296,91.090,102.514,112.987,121.867,129.091,135.146,140.425,145.387,150.763,156.502,162.242,168.042,172.743,175.492,175.924,173.371,167.249,158.510,147.712,136.124,124.906,115.600,140.239,166.384,191.852,214.450,231.688,237.434,237.464,234.915,228.870,218.909,205.036,187.996,169.324,155.021,142.172,132.359,126.245,124.867,127.876,134.563,144.278,155.466,167.429,178.475,188.591,196.880,203.872,209.726,215.053,220.535,226.162,231.997,237.930,243.063,246.910,248.566,247.260,242.865,235.422,225.543,214.138,202.656,192.273,184.013,179.246,177.920,179.789,184.190,189.865,195.168,198.737,199.191,195.782,188.563
|
2025-10-06 00:00:00
|
2025-10-14 13:00:00
|
177.730,164.293,149.906,135.979,124.222,116.026,112.068,112.764,117.560,126.000,136.853,148.610,160.553,171.403,180.778,188.711,195.300,201.144,206.475,212.171,218.006,223.978,229.651,234.467,237.277,237.859,235.067,229.198,220.487,209.781,198.023,186.699,177.095,170.172,167.010,166.927,169.876,175.096,180.669,185.217,187.416,186.104,180.855,171.835,159.569,145.438,131.115,118.119,108.052,101.988
|
2025-10-14 14:00:00
|
2025-10-16 15:00:00
|
,
| 50
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future electricity usage of this household in the next 50 hours, from 2025-10-14 14:00:00 to 2025-10-16 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the electricity usage (in Watts, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-14 13:00:00, and the recording frequency is hour (H). Initially, the house underwent rennovation and no one stayed at the unit, leading to low power usage. After the rennovation finished, the house is fully occupied, leading to a permanent increase in electricty usage.
|
<history>132.709,143.681,153.423,161.263,167.841,173.403,178.252,183.377,188.803,195.039,201.054,206.577,210.432,212.148,210.885,206.295,198.386,188.100,176.189,164.487,153.658,145.727,141.099,140.027,142.538,147.559,153.515,159.152,162.701,163.212,159.448,151.423,140.069,126.048,111.038,97.029,85.449,77.524,74.272,75.735,81.357,90.531,101.744,114.085,125.794,136.578,145.599,152.980,159.062,164.471,169.588,175.002,180.940,187.139,193.081,198.022,201.006,201.358,198.595,192.452,183.200,171.987,159.848,148.490,138.860,132.077,128.989,129.676,133.351,138.836,144.501,149.042,151.176,149.681,143.908,134.095,121.486,107.123,92.435,79.450,69.815,63.965,63.175,66.799,74.259,84.739,96.284,108.363,119.730,129.484,137.581,144.274,149.762,154.754,160.020,165.786,171.538,177.596,183.056,187.214,188.976,187.813,183.399,175.949,165.989,154.324,142.512,131.833,123.830,118.898,117.660,119.608,124.153,129.940,135.273,138.788,139.343,135.869,128.370,117.346,103.969,89.515,75.925,64.595,56.803,53.331,54.474,59.811,68.339,79.296,91.090,102.514,112.987,121.867,129.091,135.146,140.425,145.387,150.763,156.502,162.242,168.042,172.743,175.492,175.924,173.371,167.249,158.510,147.712,136.124,124.906,115.600,140.239,166.384,191.852,214.450,231.688,237.434,237.464,234.915,228.870,218.909,205.036,187.996,169.324,155.021,142.172,132.359,126.245,124.867,127.876,134.563,144.278,155.466,167.429,178.475,188.591,196.880,203.872,209.726,215.053,220.535,226.162,231.997,237.930,243.063,246.910,248.566,247.260,242.865,235.422,225.543,214.138,202.656,192.273,184.013,179.246,177.920,179.789,184.190,189.865,195.168,198.737,199.191,195.782,188.563</history>
This time series records the electricity usage (in Watts, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-14 13:00:00, and the recording frequency is hour (H). Initially, the house underwent rennovation and no one stayed at the unit, leading to low power usage. After the rennovation finished, the house is fully occupied, leading to a permanent increase in electricty usage.
Forecast the future electricity usage of this household in the next 50 hours, from 2025-10-14 14:00:00 to 2025-10-16 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template1/item4
|
GIFT synthesize
|
phase_change
|
H
|
165.057,169.811,169.712,164.879,156.188,146.097,137.006,130.171,125.972,123.336,120.636,117.313,112.221,106.740,102.167,99.314,98.602,98.738,98.039,94.948,88.956,80.992,73.681,70.336,73.104,82.259,95.815,109.662,118.650,119.470,110.546,94.137,74.559,57.892,49.511,51.684,64.656,85.001,108.136,129.805,147.488,160.283,169.767,177.719,185.965,195.314,204.270,211.137,213.462,210.970,203.759,194.026,184.029,176.014,170.547,167.424,164.969,161.836,157.432,151.757,146.186,142.125,140.119,139.809,139.671,138.091,133.467,126.254,118.230,112.398,111.569,117.502,129.218,143.325,155.506,160.820,156.917,143.961,125.284,106.381,93.174,89.880,97.558,114.684,137.388,160.694,180.937,196.393,207.431,216.016,224.028,233.083,242.308,250.629,255.585,255.898,251.148,242.531,232.431,222.975,215.863,211.370,208.201,205.187,201.260,195.864,190.080,185.241,182.325,181.381,181.622,180.889,177.855,171.681,163.497,156.023,152.126,154.653,163.654,177.468,191.301,200.863,201.852,193.137,176.465,156.626,139.641,130.530,132.680,145.585,166.342,190.289,212.863,231.134,244.473,253.987
|
2025-10-06 00:00:00
|
2025-10-11 15:00:00
|
261.954,270.255,279.504,288.482,295.503,298.472,296.501,289.569,280.219,269.999,261.482,255.292,251.375,248.124,244.570,239.849,237.619,242.410,255.612,277.115,307.423,344.263,386.124,431.748,424.146,415.706,409.717,408.687,414.708,426.570,441.197,453.616,459.486,455.902,442.652,423.769,404.366,390.506,386.597,394.137,411.293,434.336,457.942,478.787,494.575,505.737,514.200,522.011,530.657,539.897,548.001,553.213,553.878,549.262,540.993,530.791,521.188,514.056,509.177,506.024,502.919,499.009,493.895,488.410,483.694,480.708,479.917,480.081,479.453,476.467,470.366,462.270,454.715,450.847,453.321,462.131,475.756,489.807,499.555,501.029,492.539,476.462,456.726,439.643,430.379,431.887,444.262,464.368,487.893,510.116,528.238,541.280,550.788,558.628,566.813,575.902,584.830,591.652,594.641,592.415,585.472,575.764,565.834,557.425,551.806,548.450,545.986,542.974,538.603,533.327,527.967,523.719,521.908,521.561,521.538,520.301,516.012,509.108,501.106,495.278
|
2025-10-11 16:00:00
|
2025-10-16 15:00:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future electricity usage of this household in the next 120 hours, from 2025-10-11 16:00:00 to 2025-10-16 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the electricity usage (in Watts, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-11 15:00:00, and the recording frequency is hour (H). Initially, the house underwent rennovation and no one stayed at the unit, leading to low power usage. After the rennovation finished, the house is fully occupied, leading to a permanent increase in electricty usage.
|
<history>165.057,169.811,169.712,164.879,156.188,146.097,137.006,130.171,125.972,123.336,120.636,117.313,112.221,106.740,102.167,99.314,98.602,98.738,98.039,94.948,88.956,80.992,73.681,70.336,73.104,82.259,95.815,109.662,118.650,119.470,110.546,94.137,74.559,57.892,49.511,51.684,64.656,85.001,108.136,129.805,147.488,160.283,169.767,177.719,185.965,195.314,204.270,211.137,213.462,210.970,203.759,194.026,184.029,176.014,170.547,167.424,164.969,161.836,157.432,151.757,146.186,142.125,140.119,139.809,139.671,138.091,133.467,126.254,118.230,112.398,111.569,117.502,129.218,143.325,155.506,160.820,156.917,143.961,125.284,106.381,93.174,89.880,97.558,114.684,137.388,160.694,180.937,196.393,207.431,216.016,224.028,233.083,242.308,250.629,255.585,255.898,251.148,242.531,232.431,222.975,215.863,211.370,208.201,205.187,201.260,195.864,190.080,185.241,182.325,181.381,181.622,180.889,177.855,171.681,163.497,156.023,152.126,154.653,163.654,177.468,191.301,200.863,201.852,193.137,176.465,156.626,139.641,130.530,132.680,145.585,166.342,190.289,212.863,231.134,244.473,253.987</history>
This time series records the electricity usage (in Watts, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-11 15:00:00, and the recording frequency is hour (H). Initially, the house underwent rennovation and no one stayed at the unit, leading to low power usage. After the rennovation finished, the house is fully occupied, leading to a permanent increase in electricty usage.
Forecast the future electricity usage of this household in the next 120 hours, from 2025-10-11 16:00:00 to 2025-10-16 15:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template2/item4
|
GIFT synthesize
|
phase_change
|
H
|
38.740,38.741,38.733,38.737,38.737,38.735,49.734,49.726,49.736,49.730,49.728,49.730,49.727,49.732,49.734,49.734,38.732,38.735,38.727,38.735,38.732,38.732,38.735,38.729,38.729,38.734,38.727,38.735,38.739,38.733,38.739,38.736,38.731,38.731,38.738,38.732,38.733,38.734,38.740,38.739,38.740,38.739,38.740,38.734,38.733,38.738,38.735,38.734,38.739,49.731,49.728,49.729,49.733,49.736,49.725,49.735,49.732,49.729,49.726,38.740,38.739,38.737,38.731,38.734,38.734,38.740,38.739,38.732,38.733,38.730,38.734,38.731,38.743,38.736,38.736,38.733,38.734,38.735,38.736,38.732,38.743,38.738,38.738,38.736,39.010,39.854,41.252,43.198,45.719,48.794,48.787,59.791,59.775,59.772,59.761,59.758,59.761,59.765,59.763,59.765,59.763,59.770,48.772,48.772,48.763,48.766,48.770,48.772,48.770,48.759,48.771,48.769,48.766,48.763,48.769,48.760,48.766,48.764,48.763,48.763,48.767,48.772,48.769,48.771,48.768,48.765,48.763,48.759,48.768,48.771,48.770,48.772,48.768,48.769,59.758,59.766,59.766,59.762,59.760,59.764,59.759,59.764,59.764,59.767,48.769,48.773,48.768,48.769,48.765,48.762,48.767,48.761,48.771,48.762,48.771,48.775,48.762,48.764,48.765,48.770,48.773,48.765,48.762,48.770,48.772,48.765,48.761,48.767,48.766,48.773,48.764,48.772,48.769,48.769,48.769,48.763,59.767,59.760,59.765,59.766,59.768,59.764,59.763,59.763,59.759,59.764,59.762,48.771,48.765,48.762,48.763,48.763,48.767,48.765,48.769,48.768,48.768,48.761,48.766,48.773,48.765,48.766,48.770,48.765
|
2025-10-06 00:00:00
|
2025-10-14 11:00:00
|
48.772,48.765,48.766,48.767,48.772,48.769,48.766,48.763,48.769,48.768,48.766,48.764,48.768,48.766,48.764,59.762,59.761,59.762,59.763,59.758,59.764,59.767,59.759,59.762,59.762,48.770,48.766,48.763,48.771,48.760,48.764,48.767,48.768,48.763,48.769,48.771,48.769,48.769,48.768,48.767,48.766,48.774,48.776,48.765,48.770,48.763,48.770,48.767,48.767,48.767,48.764,48.769,48.762,48.765,48.759,48.774,48.776,48.770,59.766,59.766,59.764,59.761,59.764,59.765,59.761,59.769,59.763,59.762,48.768,48.773,48.767,48.765,48.769,48.774,48.769,48.776,48.769,48.766,48.769,48.765,48.762,48.765,48.766,48.763,48.769,48.768,48.770,48.771,48.769,48.763,48.766,48.769,48.764,48.762,48.762,48.768,48.769,48.768,48.768,48.772,59.762,59.766,59.765,59.763,59.763,59.770,59.761,59.762,59.766,59.758,48.767,48.769,48.773,48.767,48.767,48.763,48.770,48.768,48.767,48.767,48.767,48.767,48.775,48.766,48.765,48.767,48.770,48.767,48.766,48.767,48.765,48.772,48.765,48.767,48.768,48.765,48.769,48.768,48.768,48.766,48.763,48.765,48.763,59.764,59.768,59.766,59.767,59.763,59.765,59.762,59.770,59.759,59.756,48.766,48.768,48.766,48.763,48.767,48.771,48.768,48.766,48.766,48.769,48.768,48.766,48.761,48.767,48.769,48.766,48.767,48.766,48.770,48.767,48.764,48.770,48.769,48.776,48.762,48.765,48.769
|
2025-10-14 12:00:00
|
2025-10-21 23:00:00
|
,
| 180
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future electricity usage of this household in the next 180 hours, from 2025-10-14 12:00:00 to 2025-10-21 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the electricity usage (in Watts, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-14 11:00:00, and the recording frequency is hour (H). Initially, the house underwent rennovation and no one stayed at the unit, leading to low power usage. After the rennovation finished, the house is fully occupied, leading to a permanent increase in electricty usage.
|
<history>38.740,38.741,38.733,38.737,38.737,38.735,49.734,49.726,49.736,49.730,49.728,49.730,49.727,49.732,49.734,49.734,38.732,38.735,38.727,38.735,38.732,38.732,38.735,38.729,38.729,38.734,38.727,38.735,38.739,38.733,38.739,38.736,38.731,38.731,38.738,38.732,38.733,38.734,38.740,38.739,38.740,38.739,38.740,38.734,38.733,38.738,38.735,38.734,38.739,49.731,49.728,49.729,49.733,49.736,49.725,49.735,49.732,49.729,49.726,38.740,38.739,38.737,38.731,38.734,38.734,38.740,38.739,38.732,38.733,38.730,38.734,38.731,38.743,38.736,38.736,38.733,38.734,38.735,38.736,38.732,38.743,38.738,38.738,38.736,39.010,39.854,41.252,43.198,45.719,48.794,48.787,59.791,59.775,59.772,59.761,59.758,59.761,59.765,59.763,59.765,59.763,59.770,48.772,48.772,48.763,48.766,48.770,48.772,48.770,48.759,48.771,48.769,48.766,48.763,48.769,48.760,48.766,48.764,48.763,48.763,48.767,48.772,48.769,48.771,48.768,48.765,48.763,48.759,48.768,48.771,48.770,48.772,48.768,48.769,59.758,59.766,59.766,59.762,59.760,59.764,59.759,59.764,59.764,59.767,48.769,48.773,48.768,48.769,48.765,48.762,48.767,48.761,48.771,48.762,48.771,48.775,48.762,48.764,48.765,48.770,48.773,48.765,48.762,48.770,48.772,48.765,48.761,48.767,48.766,48.773,48.764,48.772,48.769,48.769,48.769,48.763,59.767,59.760,59.765,59.766,59.768,59.764,59.763,59.763,59.759,59.764,59.762,48.771,48.765,48.762,48.763,48.763,48.767,48.765,48.769,48.768,48.768,48.761,48.766,48.773,48.765,48.766,48.770,48.765</history>
This time series records the electricity usage (in Watts, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-14 11:00:00, and the recording frequency is hour (H). Initially, the house underwent rennovation and no one stayed at the unit, leading to low power usage. After the rennovation finished, the house is fully occupied, leading to a permanent increase in electricty usage.
Forecast the future electricity usage of this household in the next 180 hours, from 2025-10-14 12:00:00 to 2025-10-21 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template3/item4
|
GIFT synthesize
|
phase_change
|
H
|
79.742,79.063,86.222,76.930,84.691,79.866,87.759,81.304,84.841,80.333,83.924,80.176,81.411,75.950,80.680,77.341,77.195,78.938,82.396,76.844,82.374,79.167,87.615,79.174,83.193,78.850,83.360,74.784,85.056,80.058,87.639,76.094,75.190,78.901,80.077,82.486,78.898,74.105,78.360,81.768,76.696,81.486,81.798,80.041,81.032,75.219,78.188,73.829,79.651,76.403,80.317,83.180,80.059,77.519,79.229,78.668,82.284,82.832,83.230,78.956,73.038,79.686,76.949,80.672,78.929,77.098,81.483,78.555,78.467,73.778,80.837,84.068,82.882,76.190,80.597,80.521,73.619,79.700,80.495,80.236,78.739,81.961,75.726,79.708,81.695,76.971,78.811,78.908,79.253,75.633,82.097,75.398,72.778,78.252,73.336,75.657,82.099,76.221,76.601,79.863,74.472,82.036,77.812,70.522,77.874,78.420,81.142,74.461,78.184,76.748,78.071,79.467,74.394,74.037,78.648,75.933,71.957,76.965,79.025,74.126,77.715,82.693,77.742,73.636,76.686,73.518,75.119,83.150,73.126,76.581,76.217,80.699,78.692,76.638,70.522,71.524,80.705,76.011,82.754,76.833,71.016,73.772,79.510,71.372,76.159,74.337,78.941,75.845,78.123,76.936,73.845,75.594,72.385,76.366,74.924,74.095,71.766,78.000,73.009,75.409,74.992,71.812,75.621,73.657,75.295,76.190,71.499,75.940,78.007,77.731,67.887,78.174,74.022,75.728,78.033,75.777,74.792,72.577,75.790,76.084,76.626,72.374,79.719,74.874,73.349,78.532,71.949,76.821,76.146,75.265,81.224,79.776,68.180,83.778,73.685,73.917,73.178,69.740,74.973,71.011,73.005,98.818,98.355,97.508,101.160,93.679,97.376,94.126,89.737,93.620,94.638,92.443,85.559,89.955,86.559,88.457,95.994,87.234,85.747,90.585,93.896,97.726,94.268,92.418,96.770,88.063,88.231,96.116,86.676,84.970,93.842,92.385,92.831,94.656,90.532,88.415,86.129,89.543,90.290,87.166,91.720,94.346,91.510,88.326,92.378,90.329,92.824,87.554,93.491,89.029,88.231,86.078,85.474,86.439,86.607,85.532,92.594,89.758,89.880,90.977,88.637,83.403,86.754,87.856
|
2025-10-06 00:00:00
|
2025-10-16 23:00:00
|
88.898,82.918,86.021,92.559,87.151,85.991,83.629,91.887,85.893,96.535,88.453,84.282,90.163,90.264,84.888,85.919,86.031,83.832,87.644,87.422,88.927,87.573,92.675,83.083,86.834,83.967,83.720,85.167,89.120,85.145,85.258,87.397,87.010,88.283,89.725,83.795,85.880,83.311,87.421,84.490,82.227,86.920,83.536,82.076,86.535,87.043,84.509,85.157,83.317,89.286,89.143,87.529,78.653,87.528,86.207,86.736,86.029,88.573,87.121,87.152,87.311,83.388,88.823,84.340,89.957,85.614,87.595,86.489,88.458,80.594,84.957,82.995,87.007,85.323,84.935,86.864,83.922,88.199,85.656,83.481,86.455,85.986,83.443,89.720,88.600,85.126,84.250,84.928,83.144,89.540,85.007,86.908,82.773,82.337,83.186,91.157,88.965,81.823,89.362,88.216,81.465,79.401,86.437,83.747,78.863,82.806,78.478,88.402,86.820,85.897,85.242,84.774,80.935,88.731,87.960,82.519,85.924,84.677,81.185,82.194
|
2025-10-17 00:00:00
|
2025-10-21 23:00:00
|
,
| 120
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future electricity usage of this household in the next 120 hours, from 2025-10-17 00:00:00 to 2025-10-21 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the electricity usage (in Watts, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-16 23:00:00, and the recording frequency is hour (H). Initially, the house underwent rennovation and no one stayed at the unit, leading to low power usage. After the rennovation finished, the house is fully occupied, leading to a permanent increase in electricty usage.
|
<history>79.742,79.063,86.222,76.930,84.691,79.866,87.759,81.304,84.841,80.333,83.924,80.176,81.411,75.950,80.680,77.341,77.195,78.938,82.396,76.844,82.374,79.167,87.615,79.174,83.193,78.850,83.360,74.784,85.056,80.058,87.639,76.094,75.190,78.901,80.077,82.486,78.898,74.105,78.360,81.768,76.696,81.486,81.798,80.041,81.032,75.219,78.188,73.829,79.651,76.403,80.317,83.180,80.059,77.519,79.229,78.668,82.284,82.832,83.230,78.956,73.038,79.686,76.949,80.672,78.929,77.098,81.483,78.555,78.467,73.778,80.837,84.068,82.882,76.190,80.597,80.521,73.619,79.700,80.495,80.236,78.739,81.961,75.726,79.708,81.695,76.971,78.811,78.908,79.253,75.633,82.097,75.398,72.778,78.252,73.336,75.657,82.099,76.221,76.601,79.863,74.472,82.036,77.812,70.522,77.874,78.420,81.142,74.461,78.184,76.748,78.071,79.467,74.394,74.037,78.648,75.933,71.957,76.965,79.025,74.126,77.715,82.693,77.742,73.636,76.686,73.518,75.119,83.150,73.126,76.581,76.217,80.699,78.692,76.638,70.522,71.524,80.705,76.011,82.754,76.833,71.016,73.772,79.510,71.372,76.159,74.337,78.941,75.845,78.123,76.936,73.845,75.594,72.385,76.366,74.924,74.095,71.766,78.000,73.009,75.409,74.992,71.812,75.621,73.657,75.295,76.190,71.499,75.940,78.007,77.731,67.887,78.174,74.022,75.728,78.033,75.777,74.792,72.577,75.790,76.084,76.626,72.374,79.719,74.874,73.349,78.532,71.949,76.821,76.146,75.265,81.224,79.776,68.180,83.778,73.685,73.917,73.178,69.740,74.973,71.011,73.005,98.818,98.355,97.508,101.160,93.679,97.376,94.126,89.737,93.620,94.638,92.443,85.559,89.955,86.559,88.457,95.994,87.234,85.747,90.585,93.896,97.726,94.268,92.418,96.770,88.063,88.231,96.116,86.676,84.970,93.842,92.385,92.831,94.656,90.532,88.415,86.129,89.543,90.290,87.166,91.720,94.346,91.510,88.326,92.378,90.329,92.824,87.554,93.491,89.029,88.231,86.078,85.474,86.439,86.607,85.532,92.594,89.758,89.880,90.977,88.637,83.403,86.754,87.856</history>
This time series records the electricity usage (in Watts, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-16 23:00:00, and the recording frequency is hour (H). Initially, the house underwent rennovation and no one stayed at the unit, leading to low power usage. After the rennovation finished, the house is fully occupied, leading to a permanent increase in electricty usage.
Forecast the future electricity usage of this household in the next 120 hours, from 2025-10-17 00:00:00 to 2025-10-21 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
|
context_implicit/template4/item4
|
GIFT synthesize
|
phase_change
|
H
|
50.191,50.381,51.211,51.715,52.023,51.889,52.479,51.565,52.422,52.319,52.907,53.439,51.290,51.519,51.671,53.014,52.401,53.820,54.598,54.667,54.008,53.710,53.791,53.038,53.753,54.060,55.180,53.996,54.301,52.806,51.644,51.504,51.685,50.712,50.384,50.456,49.482,50.258,50.259,50.949,52.511,51.593,51.579,51.852,53.142,52.443,51.893,53.745,52.764,53.091,51.727,52.294,53.731,52.354,54.403,54.733,54.160,54.517,54.370,53.407,53.960,53.995,53.784,55.646,54.061,54.344,54.578,53.456,53.460,53.148,51.305,50.757,49.423,50.776,49.642,49.936,51.903,51.834,52.188,52.442,53.467,51.648,52.208,53.345,54.390,53.343,53.201,53.006,52.647,52.240,52.737,53.381,54.460,54.458,54.594,55.511,54.953,53.044,54.097,54.295,53.938,54.817,54.789,56.264,54.902,55.221,53.993,52.354,52.321,53.092,51.606,50.529,50.439,50.875,51.921,51.760,52.632,52.906,52.722,52.432,52.081,52.869,54.417,53.430,52.992,53.659,53.353,53.232,52.870,53.635,54.053,54.332,54.888,55.217,55.554,53.814,54.130,55.452,54.221,55.685,55.487,56.032,55.983,55.237,52.889,52.727,52.578,50.874,50.975,51.686,50.487,50.213,50.827,52.154,51.715,52.933,52.543,52.295,53.299,54.156,54.395,54.491,52.982,54.473,56.994,60.165,61.484,64.540,65.990,66.104,66.070,66.287,64.828,64.447,63.989,65.243,65.606,65.732,67.045,66.447,66.558,65.775,65.058,62.967,63.803,63.001,61.529,61.674,60.793,62.376,63.608,63.324,63.764,62.928,62.533,64.939,63.768,64.219,64.492,65.626,65.830,64.936,63.687,64.646,64.377,64.005,65.360,66.180,65.791,65.947,65.815,65.146,64.370,63.935,65.360,65.914,65.891,65.281,65.128,63.997,63.881,62.762,63.321,61.835,61.443,61.087,60.923,61.791,61.527,61.670,62.529,62.151,62.580,62.454,62.642,62.289,63.110,63.388,62.669,62.291,62.312,61.809,62.168,63.111,63.107,64.255,64.123,63.274,63.097,62.889,62.768,63.007,63.809,64.019,63.660,64.056,63.901,62.304,61.591,60.801,59.942,59.560,58.815,59.329,59.573,60.462,60.436,60.482,60.267,61.055,60.227,60.749,61.252,60.866,61.134,60.554,61.277,61.082,59.342,60.955,60.917,60.393,62.543,62.010,61.848,62.194,61.550,59.528,60.572,61.124,60.552,61.983,60.405,61.452,60.901,59.537,59.459,58.632,57.750,57.846,57.221,56.672,55.783,55.716,57.806,56.391,58.482,58.747,58.242,58.332,58.997,58.455,58.871,60.414,59.359,59.108,57.913,58.288,59.150,59.081,60.260,61.574,61.098,59.833,59.565,60.129,59.436,59.737,60.602,61.061,59.942,60.404
|
2025-10-06 00:00:00
|
2025-10-19 19:00:00
|
59.438,59.810,57.749,57.063,56.611,56.396,56.530,56.209,55.515,56.406,57.065,56.921,57.175,57.301,56.807,57.488,57.792,58.862,58.406,58.257,58.282,58.011,58.548,57.858,58.839,59.078,60.128,60.108,59.974,59.724,59.264,59.459,59.072,58.661,60.054,60.157,60.578,60.055,59.524,57.996,58.219,57.501,57.506,55.241,55.421,56.033,56.322,56.318,57.119,57.348,57.674,58.191,57.370,58.251,58.041,59.087,57.750,59.131,59.441,58.989,59.387,58.381,58.530,58.616,59.880,61.137,60.771,59.747,60.040,59.255,59.228,60.835,60.641,60.705,60.961,60.731,60.951,60.005,59.716,58.335,57.108,56.165,55.914,56.203,57.469,56.598,57.314,57.262,58.598,59.162,59.996,59.169,59.274,59.232,59.767,60.815,58.988,59.870,59.050,58.098,59.811,60.704,61.170,62.424,62.285,60.251,61.395,59.668,60.277,61.869,62.882,63.164,61.694,62.471,60.171,60.930,59.973,59.255,59.068,58.414,57.764,57.755,58.755,58.772,58.654,60.470,61.555,60.635,60.792,60.660,61.326,61.124,60.868,61.875,60.941,61.771,61.573,62.008,61.716,62.285,63.333,64.354,64.483,63.551,62.776,63.411,62.268,62.994,64.022,64.869,64.025,64.380,63.900,63.233,62.713,61.728,60.549,60.029,61.148,59.083,60.382,60.764,60.765,62.468,62.496,63.509,63.131,62.215,63.355,62.937,64.800,64.425,63.176,63.762,62.989,63.757,64.308,63.851,64.594,66.732
|
2025-10-19 20:00:00
|
2025-10-27 07:00:00
|
,
| 180
|
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
|
Forecast the future electricity usage of this household in the next 180 hours, from 2025-10-19 20:00:00 to 2025-10-27 07:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
This time series records the electricity usage (in Watts, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-19 19:00:00, and the recording frequency is hour (H). Initially, the house underwent rennovation and no one stayed at the unit, leading to low power usage. After the rennovation finished, the house is fully occupied, leading to a permanent increase in electricty usage.
|
<history>50.191,50.381,51.211,51.715,52.023,51.889,52.479,51.565,52.422,52.319,52.907,53.439,51.290,51.519,51.671,53.014,52.401,53.820,54.598,54.667,54.008,53.710,53.791,53.038,53.753,54.060,55.180,53.996,54.301,52.806,51.644,51.504,51.685,50.712,50.384,50.456,49.482,50.258,50.259,50.949,52.511,51.593,51.579,51.852,53.142,52.443,51.893,53.745,52.764,53.091,51.727,52.294,53.731,52.354,54.403,54.733,54.160,54.517,54.370,53.407,53.960,53.995,53.784,55.646,54.061,54.344,54.578,53.456,53.460,53.148,51.305,50.757,49.423,50.776,49.642,49.936,51.903,51.834,52.188,52.442,53.467,51.648,52.208,53.345,54.390,53.343,53.201,53.006,52.647,52.240,52.737,53.381,54.460,54.458,54.594,55.511,54.953,53.044,54.097,54.295,53.938,54.817,54.789,56.264,54.902,55.221,53.993,52.354,52.321,53.092,51.606,50.529,50.439,50.875,51.921,51.760,52.632,52.906,52.722,52.432,52.081,52.869,54.417,53.430,52.992,53.659,53.353,53.232,52.870,53.635,54.053,54.332,54.888,55.217,55.554,53.814,54.130,55.452,54.221,55.685,55.487,56.032,55.983,55.237,52.889,52.727,52.578,50.874,50.975,51.686,50.487,50.213,50.827,52.154,51.715,52.933,52.543,52.295,53.299,54.156,54.395,54.491,52.982,54.473,56.994,60.165,61.484,64.540,65.990,66.104,66.070,66.287,64.828,64.447,63.989,65.243,65.606,65.732,67.045,66.447,66.558,65.775,65.058,62.967,63.803,63.001,61.529,61.674,60.793,62.376,63.608,63.324,63.764,62.928,62.533,64.939,63.768,64.219,64.492,65.626,65.830,64.936,63.687,64.646,64.377,64.005,65.360,66.180,65.791,65.947,65.815,65.146,64.370,63.935,65.360,65.914,65.891,65.281,65.128,63.997,63.881,62.762,63.321,61.835,61.443,61.087,60.923,61.791,61.527,61.670,62.529,62.151,62.580,62.454,62.642,62.289,63.110,63.388,62.669,62.291,62.312,61.809,62.168,63.111,63.107,64.255,64.123,63.274,63.097,62.889,62.768,63.007,63.809,64.019,63.660,64.056,63.901,62.304,61.591,60.801,59.942,59.560,58.815,59.329,59.573,60.462,60.436,60.482,60.267,61.055,60.227,60.749,61.252,60.866,61.134,60.554,61.277,61.082,59.342,60.955,60.917,60.393,62.543,62.010,61.848,62.194,61.550,59.528,60.572,61.124,60.552,61.983,60.405,61.452,60.901,59.537,59.459,58.632,57.750,57.846,57.221,56.672,55.783,55.716,57.806,56.391,58.482,58.747,58.242,58.332,58.997,58.455,58.871,60.414,59.359,59.108,57.913,58.288,59.150,59.081,60.260,61.574,61.098,59.833,59.565,60.129,59.436,59.737,60.602,61.061,59.942,60.404</history>
This time series records the electricity usage (in Watts, W) of a household. The readings were recorded from 2025-10-06 00:00:00 to 2025-10-19 19:00:00, and the recording frequency is hour (H). Initially, the house underwent rennovation and no one stayed at the unit, leading to low power usage. After the rennovation finished, the house is fully occupied, leading to a permanent increase in electricty usage.
Forecast the future electricity usage of this household in the next 180 hours, from 2025-10-19 20:00:00 to 2025-10-27 07:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
|
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