Recurrent attention encoder–decoder network for multi-step interval wind power prediction

In the context of large-scale wind power grid integration, accurate wind power forecasting is crucial for optimizing grid scheduling and ensuring safe grid connection. This study proposes a recurrent attention encoder–decoder network for multi-step interval wind power forecasting, combining Numerica...

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Vydané v:	Energy (Oxford) Ročník 315; s. 134317
Hlavní autori:	Ye, Xiaoling, Liu, Chengcheng, Xiong, Xiong, Qi, Yinyi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.01.2025
Predmet:	Attention Direct-prediction energy Fork-sequence Moving-window prediction time series analysis weather forecasting wind farms wind power wind speed Fork-sequence Moving-window Direct-prediction Attention
ISSN:	0360-5442
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