A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

•A novel two-stage forecasting architecture is proposed for wind power forecasting.•Considering error factor in wind power forecasting to improve model’s performance.•A novel ensemble method is proposed in the proposed forecasting model.•The developed model can also perform better for wind power int...

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Vydáno v:	Applied energy Ročník 238; s. 368 - 383
Hlavní autoři:	Hao, Yan, Tian, Chengshi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.03.2019
Témata:	algorithms Canada data collection Extreme learning machine Multi-objective optimization algorithm prediction Spain Two-stage forecasting model wind power Wind power forecasting Canada Spain Two-stage forecasting model Multi-objective optimization algorithm Extreme learning machine Wind power forecasting
ISSN:	0306-2619, 1872-9118
On-line přístup:	Získat plný text
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