Publication:

CNN-LSTM architecture for predictive indoor temperature modeling

Date

2021
Journal article
https://doi.org/10.1016/j.buildenv.2021.108327
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dc.contributor.authorElmaz, Furkan
dc.contributor.authorEyckerman, Reinout
dc.contributor.authorCasteels, Wim
dc.contributor.authorLatre, Steven
dc.contributor.authorHellinckx, Peter
dc.contributor.imecauthorElmaz, Furkan
dc.contributor.imecauthorEyckerman, Reinout
dc.contributor.imecauthorCasteels, Wim
dc.contributor.imecauthorLatre, Steven
dc.contributor.imecauthorHellinckx, Peter
dc.contributor.orcidimecElmaz, Furkan::0000-0002-7030-0784
dc.contributor.orcidimecEyckerman, Reinout::0000-0002-9352-7981
dc.date.accessioned2022-03-04T14:00:38Z
dc.date.available2022-03-04T14:00:38Z
dc.date.issued2021
dc.identifier.doi10.1016/j.buildenv.2021.108327
dc.identifier.issn0360-1323
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39311
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.source.beginpage108327
dc.source.issuena
dc.source.journalBUILDING AND ENVIRONMENT
dc.source.numberofpages9
dc.source.volume206
dc.subject.keywordsHVAC SYSTEM
dc.title

CNN-LSTM architecture for predictive indoor temperature modeling

dc.typeJournal article
dspace.entity.typePublication
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