Power load forecasting based on LSTM Adaboost

The LSTM AdaBoost load forecasting model first trains multiple base learners in series using the AdaBoost ensemble algorithm and calculates

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The LSTM AdaBoost load forecasting model first trains multiple base learners in series using the AdaBoost ensemble algorithm and calculates the weight coefficients of each base learner. Then, the prediction results of each base learner are linearly combined to generate the final prediction result

Cita come

ZHANG muzhi (2026). Power load forecasting based on LSTM Adaboost (https://it.mathworks.com/matlabcentral/fileexchange/170766-power-load-forecasting-based-on-lstm-adaboost), MATLAB Central File Exchange. Recuperato .

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Informazioni generali

Compatibilità della release di MATLAB

  • Compatibile con qualsiasi release

Compatibilità della piattaforma

  • Windows
  • macOS
  • Linux
Versione Pubblicato Note della release Action
1.0.0