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Multiobjective optimization of building energy consumption and thermal comfort based on integrated BIM framework with machine learning-NSGA II

dc.contributor.authorHosamo, Haidar
dc.contributor.authorTingstveit, Merethe Solvang
dc.contributor.authorNielsen, Henrik Kofoed
dc.contributor.authorSvennevig, Paul Ragnar
dc.contributor.authorsvidt, kjeld
dc.date.accessioned2022-11-08T13:34:36Z
dc.date.available2022-11-08T13:34:36Z
dc.date.created2022-10-12T12:03:40Z
dc.date.issued2022
dc.identifier.citationHosamo,H., Tingstveit, M.S., Nielsen, H.K., Svennevig, P.R. & Svidt, K. (2022). Multiobjective optimization of building energy consumption and thermal comfort based on integrated BIM framework with machine learning-NSGA II. Energy and Buildings, 277, 1-23.en_US
dc.identifier.issn1872-6178
dc.identifier.urihttps://hdl.handle.net/11250/3030680
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleMultiobjective optimization of building energy consumption and thermal comfort based on integrated BIM framework with machine learning-NSGA IIen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The Author(s)en_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.source.pagenumber1-23en_US
dc.source.volume277en_US
dc.source.journalEnergy and Buildingsen_US
dc.identifier.doihttps://doi.org/10.1016/j.enbuild.2022.112479
dc.identifier.cristin2060800
dc.description.localcodePaid open access
dc.source.articlenumber112479en_US
cristin.qualitycode2


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