Power load forecasting based on LSTM Adaboost

Versione 1.0.0 (3,17 KB) da ZHANG muzhi
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

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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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Versione Pubblicato Note della release
1.0.0