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Article: Cooperative yaw control of wind farm using a double-layer machine learning framework

TitleCooperative yaw control of wind farm using a double-layer machine learning framework
Authors
YANG, SDeng, XTi, ZYan, BYang, Q
Issue Date2022
Citation
Renewable Energy, 2022, v. 193, p. 519-537 How to Cite?
DOI: http://dx.doi.org/10.1016/j.renene.2022.04.104
Persistent Identifierhttp://hdl.handle.net/10722/314266
ISI Accession Number ID
WOS:000803887800009

 

DC FieldValueLanguage
dc.contributor.authorYANG, S-
dc.contributor.authorDeng, X-
dc.contributor.authorTi, Z-
dc.contributor.authorYan, B-
dc.contributor.authorYang, Q-
dc.date.accessioned2022-07-18T06:14:51Z-
dc.date.available2022-07-18T06:14:51Z-
dc.date.issued2022-
dc.identifier.citationRenewable Energy, 2022, v. 193, p. 519-537-
dc.identifier.urihttp://hdl.handle.net/10722/314266-
dc.languageeng-
dc.relation.ispartofRenewable Energy-
dc.titleCooperative yaw control of wind farm using a double-layer machine learning framework-
dc.typeArticle-
dc.identifier.emailDeng, X: xwdeng@hku.hk-
dc.identifier.authorityDeng, X=rp02223-
dc.identifier.doi10.1016/j.renene.2022.04.104-
dc.identifier.hkuros334299-
dc.identifier.volume193-
dc.identifier.spage519-
dc.identifier.epage537-
dc.identifier.isiWOS:000803887800009-

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