Publication:

Physics informed neural networks for control oriented thermal modeling of buildings

Date

2022
Journal article
https://doi.org/10.1016/j.apenergy.2022.118852
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dc.contributor.authorGokhale, Gargya
dc.contributor.authorClaessens, Bert
dc.contributor.authorDevelder, Chris
dc.contributor.imecauthorGokhale, Gargya
dc.contributor.imecauthorClaessens, Bert
dc.contributor.imecauthorDevelder, Chris
dc.contributor.orcidimecGokhale, Gargya::0000-0002-1451-397X
dc.contributor.orcidimecDevelder, Chris::0000-0003-2707-4176
dc.date.accessioned2022-06-09T08:07:28Z
dc.date.available2022-06-07T02:20:17Z
dc.date.available2022-06-07T09:51:48Z
dc.date.available2022-06-09T08:07:28Z
dc.date.embargo2024-03-25
dc.date.issued2022
dc.description.wosFundingTextThis work was supported by the European Union's Horizon 2020 research and innovation programme under the projects BRIGHT (grant agreement no. 957816) , RENergetic (grant agreement no. 957845) and BIGG (grant agreement no. 957047) .
dc.identifier.doi10.1016/j.apenergy.2022.118852
dc.identifier.issn0306-2619
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39923
dc.publisherELSEVIER SCI LTD
dc.source.beginpage118852
dc.source.issuena
dc.source.journalAPPLIED ENERGY
dc.source.numberofpages10
dc.source.volume314
dc.subject.keywordsOF-THE-ART
dc.subject.keywordsPREDICTIVE CONTROL
dc.subject.keywordsPART I
dc.subject.keywordsGO
dc.title

Physics informed neural networks for control oriented thermal modeling of buildings

dc.typeJournal article
dspace.entity.typePublication
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