dc.contributor.author | Gokhale, Gargya | |
dc.contributor.author | Claessens, Bert | |
dc.contributor.author | Develder, Chris | |
dc.date.accessioned | 2022-06-09T08:07:28Z | |
dc.date.available | 2022-06-07T02:20:17Z | |
dc.date.available | 2022-06-07T09:51:48Z | |
dc.date.available | 2022-06-09T08:07:28Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 0306-2619 | |
dc.identifier.other | WOS:000797026900001 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/39923.3 | |
dc.source | WOS | |
dc.title | Physics informed neural networks for control oriented thermal modeling of buildings | |
dc.type | Journal article | |
dc.contributor.imecauthor | Gokhale, Gargya | |
dc.contributor.imecauthor | Claessens, Bert | |
dc.contributor.imecauthor | Develder, Chris | |
dc.contributor.orcidimec | Gokhale, Gargya::0000-0002-1451-397X | |
dc.contributor.orcidimec | Develder, Chris::0000-0003-2707-4176 | |
dc.date.embargo | 2024-03-25 | |
dc.identifier.doi | 10.1016/j.apenergy.2022.118852 | |
dc.source.numberofpages | 10 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 118852 | |
dc.source.journal | APPLIED ENERGY | |
dc.source.issue | na | |
dc.source.volume | 314 | |
imec.availability | Published - open access | |
dc.description.wosFundingText | This 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) . | |