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)...

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Vydané v:	Energy (Oxford) Ročník 296; s. 131173
Hlavní autori:	Zhang, Chu, Li, Zhengbo, Ge, Yida, Liu, Qianlong, Suo, Leiming, Song, Shihao, Peng, Tian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.06.2024
Predmet:	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
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