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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 462; S. 169 - 184
Hauptverfasser:	Dong, Yingchao, Zhang, Hongli, Wang, Cong, Zhou, Xiaojun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 28.10.2021
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!