Effective wind power prediction using novel deep learning network: Stacked independently recurrent autoencoder

Accurate wind power prediction can improve the safety and reliability of power grid operation. In this study, a novel deep learning network stacked by independent recurrent autoencoder (IRAE) is designed according to the characteristics of ultra-short-term wind power data, hereafter called SIRAE (st...

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Veröffentlicht in:	Renewable energy Jg. 164; S. 642 - 655
Hauptverfasser:	Wang, Lin, Tao, Rui, Hu, Huanling, Zeng, Yu-Rong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2021
Schlagworte:	energy Independently recurrent neural network Observational mode decomposition prediction Stacked auto encoder Ultra-short-term wind power Wind power prediction Observational mode decomposition Independently recurrent neural network Wind power prediction Stacked auto encoder Ultra-short-term
ISSN:	0960-1481
Online-Zugang:	Volltext
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