metadata
license: mit
language:
- en
base_model: ibm-granite/granite-timeseries-patchtst
tags:
- time-series
- forecasting
- patchtst
- electricity
- eirgrid
- energy
metrics:
- mse
- mae
library_name: transformers
pipeline_tag: time-series-forecasting
PatchTST EirGrid Forecaster ⚡
This is a PatchTST model fine-tuned on EirGrid (Irish Grid) System Data to forecast electricity demand.
Model Details
- Architecture: PatchTST (Transformer-based Time Series)
- Base Model:
ibm-granite/granite-timeseries-patchtst - Task: Long-term Forecasting (96-hour horizon)
- Input: 512 hours of historical load data.
- Output: 96 hours of future load forecast.
Usage
from transformers import PatchTSTForPrediction
# Load the model
model = PatchTSTForPrediction.from_pretrained("Priyansu19/patchtst-eirgrid-forecaster")