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
Cite As
ZHANG muzhi (2026). Power load forecasting based on LSTM Adaboost (https://uk.mathworks.com/matlabcentral/fileexchange/170766-power-load-forecasting-based-on-lstm-adaboost), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (3.17 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
