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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Bibliographic Details

Published in:	Renewable energy Vol. 164; pp. 642 - 655
Main Authors:	Wang, Lin, Tao, Rui, Hu, Huanling, Zeng, Yu-Rong
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2021
Subjects:	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 Access:	Get full text
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