luckyboyjeff

ETDataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

Load-forecasting-IEEE-TPWRS-2020

Probabilistic Load Forecasting Based on Adaptive Online Learning (APLF)

lod-probablistic-forecasting

Short-Term-Load-Forecasting-for-Electric-Power-Systems

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

load-forecasting-resnet

short-term load forecasting with deep residual networks

lstm-electric-load-forecast

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

PWFTS

Probabilistic Weighted Fuzzy Time Series

Spatiotemporal-Attention-Networks

Spatiotemporal Attention Networks for Wind Power Forecasting

TgDLF

Theory-guided deep-learning load forecasting is a short-term load forecasting model that combines domain knowledge and machine learning algorithms.