Time series forecasting | Python implements LSTM-Attention-XGBoost combined model power demand forecasting

Time series forecasting | Python implements LSTM-Attention-XGBoost combined model power demand forecasting

Prediction effect

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Basic description

This dataset is noteworthy for its hourly electricity usage data and corresponding TSO forecasts of consumption and pricing, allowing comparison of expected forecasts with current state-of-the-art industry forecasts. use

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Origin blog.csdn.net/kjm13182345320/article/details/135040143