Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm

•An ensemble forecasting system is developed for short-term wind speed.•A comprehensive indicator is proposed to determine the best sub-models adaptively.•Point and interval prediction are conducted for more intelligent grid management.•Optimal distribution is used effectively to measure the uncerta...

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Veröffentlicht in:	Expert systems with applications Jg. 177; S. 114974
Hauptverfasser:	Liu, Zhenkun, Jiang, Ping, Wang, Jianzhou, Zhang, Lifang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.09.2021 Elsevier BV
Schlagworte:	Algorithms Decomposition Electric power grids Ensemble model Forecasting Mathematical models Multi-objective version of Mayfly algorithm Multiple objective analysis Optimization Short-term wind speed forecasting Smart grid Sub-model selection Wind power Wind speed Multi-objective version of Mayfly algorithm Sub-model selection Short-term wind speed forecasting Ensemble model
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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