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A study on data-driven hybrid heating load prediction methods in low-temperature district heating: An example for nursing homes in Nordic countries

dc.contributor.authorDing, Yiyu
dc.contributor.authorTimoudas, Thomas Ohlson
dc.contributor.authorWang, Qian
dc.contributor.authorChen, Shuqin
dc.contributor.authorBrattebø, Helge
dc.contributor.authorNord, Natasa
dc.date.accessioned2023-01-10T14:58:33Z
dc.date.available2023-01-10T14:58:33Z
dc.date.created2022-08-27T21:05:34Z
dc.date.issued2022
dc.identifier.citationEnergy Conversion and Management. 2022, 269 .en_US
dc.identifier.issn0196-8904
dc.identifier.urihttps://hdl.handle.net/11250/3042474
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA study on data-driven hybrid heating load prediction methods in low-temperature district heating: An example for nursing homes in Nordic countriesen_US
dc.title.alternativeA study on data-driven hybrid heating load prediction methods in low-temperature district heating: An example for nursing homes in Nordic countriesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber14en_US
dc.source.volume269en_US
dc.source.journalEnergy Conversion and Managementen_US
dc.identifier.doi10.1016/j.enconman.2022.116163
dc.identifier.cristin2046462
dc.relation.projectNorges forskningsråd: 268248en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.fulltextoriginal
cristin.qualitycode1


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