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

dc.contributor.author	Hosamo, Haidar
dc.contributor.author	Tingstveit, Merethe Solvang
dc.contributor.author	Nielsen, Henrik Kofoed
dc.contributor.author	Svennevig, Paul Ragnar
dc.contributor.author	svidt, kjeld
dc.date.accessioned	2022-11-08T13:34:36Z
dc.date.available	2022-11-08T13:34:36Z
dc.date.created	2022-10-12T12:03:40Z
dc.date.issued	2022
dc.identifier.citation	Hosamo,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.issn	1872-6178
dc.identifier.uri	https://hdl.handle.net/11250/3030680
dc.language.iso	eng	en_US
dc.publisher	Elsevier	en_US
dc.rights	Navngivelse 4.0 Internasjonal	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/deed.no	*
dc.title	Multiobjective optimization of building energy consumption and thermal comfort based on integrated BIM framework with machine learning-NSGA II	en_US
dc.type	Peer reviewed	en_US
dc.type	Journal article	en_US
dc.description.version	publishedVersion	en_US
dc.rights.holder	© 2022 The Author(s)	en_US
dc.subject.nsi	VDP::Teknologi: 500	en_US
dc.source.pagenumber	1-23	en_US
dc.source.volume	277	en_US
dc.source.journal	Energy and Buildings	en_US
dc.identifier.doi	https://doi.org/10.1016/j.enbuild.2022.112479
dc.identifier.cristin	2060800
dc.description.localcode	Paid open access
dc.source.articlenumber	112479	en_US
cristin.qualitycode	2

Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal