Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm

•A new hybrid method is proposed for the wind speed multi-step forecasting.•The wavelet decomposition is adopted to reduce the noise of the original data.•The different decomposing algorithms are used to decompose the original data.•The different forecasting models are built to predict the pre-proce...

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Veröffentlicht in:	Energy conversion and management Jg. 156; S. 525 - 541
Hauptverfasser:	Liu, Hui, Duan, Zhu, Han, Feng-ze, Li, Yan-fei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 15.01.2018 Elsevier Science Ltd
Schlagworte:	Algorithms Back propagation networks Big multi-step wind speed forecasting Computer simulation Decomposition Electricity distribution Entropy Error correction Forecasting Machine learning Mathematical models Modified adaBoost.RT neurons Sample entropy Studies Variation Variational mode decomposition wavelet Wavelet analysis Wavelet decomposition Wavelet filter Wind power Wind speed ANN CRO Wavelet filter HM ELM FEEMD ARCH Variational mode decomposition WRF WPD SVM FS SPSA WD WF Wavelet decomposition MLP PSOGSA Big multi-step wind speed forecasting EEMD Sample entropy KF EMD ADMM MAdaBoost SSA DWT CWT LMD DNN-MRT NWP Modified adaBoost.RT MAPE RMSE VMD BFGS CS MAE AR FCM AdaBoost ARIMA LSSVM SampEn MFNN
ISSN:	0196-8904, 1879-2227
Online-Zugang:	Volltext
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