Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm

Wind power forecasting has high application value in power systems. However, due to the intermittence and fluctuation of wind power, it is difficult to predict wind power effectively using a single forecasting model. Therefore, to improve the accuracy and stability of wind power forecasting, an ense...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 462; s. 169 - 184
Hlavní autori:	Dong, Yingchao, Zhang, Hongli, Wang, Cong, Zhou, Xiaojun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 28.10.2021
Predmet:	Bernstein polynomial Decomposition Hermite polynomial Stacking ensemble learning State transition algorithm Wind power forecasting Hermite polynomial Decomposition State transition algorithm Wind power forecasting Stacking ensemble learning Bernstein polynomial
ISSN:	0925-2312
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