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Article: Intelligent Learning Based Active Power Regulation of Wind Turbines Considering Fatigue Reduction

TitleIntelligent Learning Based Active Power Regulation of Wind Turbines Considering Fatigue Reduction
Authors
Lyu, XLiu, T
Issue Date2022
Citation
IEEE Transactions on Industrial Informatics, 2022, v. 18, p. 405-414 How to Cite?
DOI: http://dx.doi.org/10.1109/TII.2021.3086108
Persistent Identifierhttp://hdl.handle.net/10722/318271
ISI Accession Number ID
WOS:000704130600043

 

DC FieldValueLanguage
dc.contributor.authorLyu, X-
dc.contributor.authorLiu, T-
dc.date.accessioned2022-10-07T10:35:47Z-
dc.date.available2022-10-07T10:35:47Z-
dc.date.issued2022-
dc.identifier.citationIEEE Transactions on Industrial Informatics, 2022, v. 18, p. 405-414-
dc.identifier.urihttp://hdl.handle.net/10722/318271-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Industrial Informatics-
dc.titleIntelligent Learning Based Active Power Regulation of Wind Turbines Considering Fatigue Reduction-
dc.typeArticle-
dc.identifier.emailLiu, T: taoliu@eee.hku.hk-
dc.identifier.authorityLiu, T=rp02045-
dc.identifier.doi10.1109/TII.2021.3086108-
dc.identifier.hkuros337313-
dc.identifier.volume18-
dc.identifier.spage405-
dc.identifier.epage414-
dc.identifier.isiWOS:000704130600043-

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