Mark-THU / load-point-forecast

load point forecast

load-forecasting deep-neural-networks lstm transformer seq2seq-attn mlp-networks cnn-model gru cnn-lstm-models

Electrial Load Point-forecast by DeepLearning

classical method

We apply classical method, such as SARIMA, SARIMAX for comparison.

DL method

In this repository, we implement FNN, BiLSTM, Seq2Seq and Transformer for load point forecast.

FNN
LSTM
BiLSTM
CNN
Seq2Seq
Transformer

Hyper-parameters

Results

About

load point forecast

load-forecasting deep-neural-networks lstm transformer seq2seq-attn mlp-networks cnn-model gru cnn-lstm-models

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