An integrated prediction model based on meta ensemble learning for short‐term wind speed forecasting

Abstract As wind power increasingly integrates into power grids and energy systems, accurate and reliable wind speed forecasting (WSF) has become essential for wind power scheduling and management. Considering the fluctuating and random characteristics of wind speed, a novel integrated model for sho...

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Hlavní autoři:	Zhengwei Ma, Ting Wu, Sensen Guo, Huaizhi Wang, Gang Xu, Saddam Aziz
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2025-01-01
Edice:	IET Renewable Power Generation
Témata:	weather forecasting wind power plants
On-line přístup:	https://doi.org/10.1049/rpg2.13016
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