Publication:

Region-Based CNN for Anomaly Detection in PV Power Plants Using Aerial Imagery

Date

2022
Journal article
https://doi.org/10.3390/s22031244
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cris.virtual.orcid0000-0003-3986-823X
cris.virtual.orcid0000-0002-6246-5538
cris.virtual.orcid0000-0003-4456-4353
cris.virtualsource.departmente6f8b610-a727-4d07-80fc-cf3c59d0d6cc
cris.virtualsource.department8401b4d6-933a-4e5b-ac6e-8e5cca2806bf
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dc.contributor.authorVlaminck, Michiel
dc.contributor.authorHeidbuchel, Rugen
dc.contributor.authorPhilips, Wilfried
dc.contributor.authorLuong, Hiep
dc.contributor.imecauthorVlaminck, Michiel
dc.contributor.imecauthorPhilips, Wilfried
dc.contributor.imecauthorLuong, Hiep
dc.contributor.orcidextVlaminck, Michiel::0000-0003-3986-823X
dc.contributor.orcidimecVlaminck, Michiel::0000-0003-3986-823X
dc.contributor.orcidimecPhilips, Wilfried::0000-0003-4456-4353
dc.contributor.orcidimecLuong, Hiep::0000-0002-6246-5538
dc.date.accessioned2023-05-04T13:19:28Z
dc.date.available2023-05-04T13:19:28Z
dc.date.embargo2022-02-07
dc.date.issued2022
dc.description.wosFundingTextThis research has been funded by imec through the imec.icon project Analyst-PV, co-funded by Flanders Innovation & Entrepreneurship project nr. HBC.2019.0050 and the COMP4DRONES ECSEL Joint Undertaking (JU) under grant agreement No 826610.
dc.identifier.doi10.3390/s22031244
dc.identifier.issn1424-8220
dc.identifier.pmidMEDLINE:35161990
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41560
dc.publisherMDPI
dc.source.beginpageArt. 1244
dc.source.endpagena
dc.source.issue3
dc.source.journalSENSORS
dc.source.numberofpages18
dc.source.volume22
dc.subject.keywordsPHOTOVOLTAIC MODULES
dc.title

Region-Based CNN for Anomaly Detection in PV Power Plants Using Aerial Imagery

dc.typeJournal article
dspace.entity.typePublication
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