Publication:

Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks

Date

2023
Journal article
https://doi.org/10.1016/j.energy.2022.126444
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dc.contributor.authorVan Gompel, Jonas
dc.contributor.authorSpina, Domenico
dc.contributor.authorDevelder, Chris
dc.contributor.imecauthorVan Gompel, Jonas
dc.contributor.imecauthorSpina, Domenico
dc.contributor.imecauthorDevelder, Chris
dc.contributor.orcidimecVan Gompel, Jonas::0000-0002-4253-5842
dc.contributor.orcidimecSpina, Domenico::0000-0003-2379-5259
dc.contributor.orcidimecDevelder, Chris::0000-0003-2707-4176
dc.date.accessioned2023-08-18T10:19:53Z
dc.date.available2023-02-07T03:21:31Z
dc.date.available2023-02-07T10:40:45Z
dc.date.available2023-08-18T10:19:53Z
dc.date.embargo2025-03-01
dc.date.issued2023
dc.description.wosFundingTextThis work was supported by the DAPPER project, which is financed by Flux50 and Flanders Innovation & Entrepreneurship (project number HBC.2020.2144) .
dc.identifier.doi10.1016/j.energy.2022.126444
dc.identifier.issn0360-5442
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41066
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.source.beginpageArt. 126444
dc.source.endpagena
dc.source.issue/
dc.source.journalENERGY
dc.source.numberofpages10
dc.source.volume266
dc.subject.keywordsVOLTAGE
dc.subject.keywordsFOREST
dc.title

Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks

dc.typeJournal article
dspace.entity.typePublication
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