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dc.contributor.authorAndersson, Leif Erik
dc.contributor.authorBradford, Eric
dc.contributor.authorImsland, Lars Struen
dc.date.accessioned2022-03-01T14:37:38Z
dc.date.available2022-03-01T14:37:38Z
dc.date.created2020-09-16T10:20:51Z
dc.date.issued2020
dc.identifier.citationAmerican Control Conference (ACC). 2020, 4058-4064.en_US
dc.identifier.issn0743-1619
dc.identifier.urihttps://hdl.handle.net/11250/2982178
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.urihttps://ieeexplore.ieee.org/abstract/document/9147723
dc.titleDistributed learning for wind farm optimization with Gaussian processesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.source.pagenumber4058-4064en_US
dc.source.journalAmerican Control Conference (ACC)en_US
dc.identifier.doi10.23919/ACC45564.2020.9147723
dc.identifier.cristin1830308
dc.relation.projectNorges forskningsråd: 268044en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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