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Diurnal Changes and Machine Learning Analysis of Perovskite Modules Based on Two Years of Outdoor Monitoring

dc.contributor.authorParaskeva, Vasiliki
dc.contributor.authorNorton, Matthew
dc.contributor.authorLivera, Andreas
dc.contributor.authorKyprianou, Andreas
dc.contributor.authorHadjipanayi, Maria
dc.contributor.authorPeraticos, Elias
dc.contributor.authorAguirre, Aranzazu
dc.contributor.authorRamesh, Santhosh
dc.contributor.authorMerckx, Tamara
dc.contributor.authorEbner, Rita
dc.contributor.authorAernouts, Tom
dc.contributor.authorKrishna, Anurag
dc.contributor.authorGeorghiou, George E.
dc.date.accessioned2025-04-29T08:10:51Z
dc.date.available2024-10-08T17:49:58Z
dc.date.available2025-04-29T08:10:51Z
dc.date.issued2024
dc.identifier.issn2380-8195
dc.identifier.otherWOS:001323954700001
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44612.2
dc.sourceWOS
dc.titleDiurnal Changes and Machine Learning Analysis of Perovskite Modules Based on Two Years of Outdoor Monitoring
dc.typeJournal article
dc.contributor.imecauthorAguirre, Aranzazu
dc.contributor.imecauthorRamesh, Santhosh
dc.contributor.imecauthorMerckx, Tamara
dc.contributor.imecauthorAernouts, Tom
dc.contributor.imecauthorKrishna, Anurag
dc.contributor.orcidimecAguirre, Aranzazu::0000-0001-9262-9022
dc.contributor.orcidimecRamesh, Santhosh::0000-0001-7901-1367
dc.contributor.orcidimecMerckx, Tamara::0000-0003-0747-5263
dc.contributor.orcidimecAernouts, Tom::0000-0002-3004-6080
dc.contributor.orcidimecKrishna, Anurag::0000-0001-7255-7412
dc.date.embargo2024-09-26
dc.identifier.doi10.1021/acsenergylett.4c01943
dc.source.numberofpages11
dc.source.peerreviewyes
dc.source.beginpage5081
dc.source.endpage5091
dc.source.journalACS ENERGY LETTERS
dc.source.issue10
dc.source.volume9
imec.availabilityPublished - open access
dc.description.wosFundingTextThis work has been financed by the European Union through the TESTARE project (Grant ID: 101079488), European Regional Development Fund and the Republic of Cyprus through the DegradationLab project (Grant ID: INFRASTRUCTURES/1216/0043) and European Union's Horizon 2020 research and innovation programme (grant No101006715).


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