Wind speed forecasting based on multi-objective grey wolf optimisation algorithm, weighted information criterion, and wind energy conversion system: A case study in Eastern China

•A secondary denoising algorithm (SSA-EEMD) is proposed to extract the chief characters of wind speed series.•The combined model is based on sub model selection and multi-objective grey wolf optimisation algorithm.•The Sub Model Selection is based on weighted information criterion (WIC) and hypothes...

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Veröffentlicht in:	Energy conversion and management Jg. 243; S. 114402
Hauptverfasser:	Wang, Chen, Zhang, Shenghui, Xiao, Ling, Fu, Tonglin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.09.2021 Elsevier Science Ltd
Schlagworte:	Algorithms case studies China Combined forecasting model Criteria Decision making electric power Empirical analysis Energy Energy conversion Farm management Feature extraction Forecasting Mathematical models Model selection Modules Multi-objective algorithm Multiple objective analysis Operating costs Optimization power generation Spectrum analysis standard deviation Wind energy conversion Wind farms Wind power Wind speed wolves China Combined forecasting model Multi-objective algorithm Model selection Wind energy conversion
ISSN:	0196-8904, 1879-2227
Online-Zugang:	Volltext
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