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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Aggiornato 2 ago 2024

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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

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ZHANG muzhi (2024). Power load forecasting based on LSTM Adaboost (https://www.mathworks.com/matlabcentral/fileexchange/170766-power-load-forecasting-based-on-lstm-adaboost), MATLAB Central File Exchange. Recuperato .

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Creato con R2024a
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Versione Pubblicato Note della release
1.0.0