Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection

•A novel ensemble system is proposed to perform point and interval forecasting.•Sub-model selection is used to select optimal sub-model for decomposed sub-series.•Multi-objective Archimedes optimization algorithm is proposed to optimize weights.•Optimized reduction coefficient is proposed to adjust...

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Veröffentlicht in:	Applied energy Jg. 301; S. 117449
Hauptverfasser:	Zhang, Lifang, Wang, Jianzhou, Niu, Xinsong, Liu, Zhenkun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2021
Schlagworte:	algorithms Artificial intelligence China data collection energy Ensemble wind speed forecasting Multi-objective Archimedes optimization algorithm prediction Sub-model selection wind power wind speed China Multi-objective Archimedes optimization algorithm Sub-model selection Artificial intelligence Ensemble wind speed forecasting
ISSN:	0306-2619, 1872-9118
Online-Zugang:	Volltext
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