Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD

Wind speed prediction is a crucial aspect in the utilization of wind energy. In this paper, a wind speed prediction model based on an outlier-robust ensemble deep random vector functional link network (ORedRVFL) and arithmetic optimization algorithm-optimized variational mode decomposition (AOA-VMD)...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Energy (Oxford) Jg. 296; S. 131173
Hauptverfasser:	Zhang, Chu, Li, Zhengbo, Ge, Yida, Liu, Qianlong, Suo, Leiming, Song, Shihao, Peng, Tian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2024
Schlagworte:	algorithms Anti-interference ability Arithmetic optimization algorithm arithmetics energy Ensemble deep random vector functional link network prediction wind power wind speed Wind speed prediction Anti-interference ability Arithmetic optimization algorithm Wind speed prediction Ensemble deep random vector functional link network
ISSN:	0360-5442
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!