ritikdhame/Electricity_Demand_and_Price_forecasting

Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), CNN-LSTM, and LSTM-Attention. Additionally, hybrid models like GRU-XGBoost and LSTM-Attention-XGBoost for Electricity Demand and price prediction

语言：Jupyter Notebook · GitHub 星标：154 · Fork：16

话题：cnn · cnn-lstm · gru · lstm · lstm-attention · xgboost-regression

在 GitHub 上查看原仓库