Accurate wind speed prediction using a Variational AutoEncoder integrated with a sequence-to-sequence-bidirectional long short-term memory-encoder-decoder architecture

Accurate wind speed prediction plays a pivotal role in optimizing wind energy systems and supporting sustainable environmental management. This study aims to addressing key challenges in wind speed prediction, including uncertainty, dimensionality reduction, and nonlinearity, by proposing a Variatio...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 163; s. 113090
Hlavní autoři:	Mehmood, Faisal, Yuan, Chulong, Gong, Jingliang, Li, Lixiao, Hu, Gang, Li, Chao, Abbas, Touqeer
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.01.2026
Témata:	Bidirectional long short-term memory Deep learning Variational AutoEncoder Wind energy Wind speed prediction Deep learning Wind speed prediction Wind energy Bidirectional long short-term memory Variational AutoEncoder
ISSN:	0952-1976
On-line přístup:	Získat plný text
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