This repository contains codes for the paper Short-term Load Forecasting with Deep Residual Networks.
We opensource in this repository the model used for the ISO-NE test cases. Code for ResNetPlus model can be found in /ISO-NE/ResNetPlus_ISONE.py
The dataset contains load and temperature data from 2003 to 2014.
If you find the codes useful in your research, please consider citing:
@article{chen2018short,
title={Short-term load forecasting with deep residual networks},
author={Chen, Kunjin and Chen, Kunlong and Wang, Qin and He, Ziyu and Hu, Jun and He, Jinliang},
journal={IEEE Transactions on Smart Grid},
year={2018},
publisher={IEEE}
}