Data-driven diagnosis of PV-connected batteries: analysis of two years of observed irradiance

dc.contributor.author	Dubarry, M.
dc.contributor.author	Yasir, F.
dc.contributor.author	Costa Cortéz, Nahuel Alejandro
dc.contributor.author	Matthews, D.
dc.date.accessioned	2024-02-26T07:38:53Z
dc.date.available	2024-02-26T07:38:53Z
dc.date.issued	2023
dc.identifier.citation	Batteries, 9(8), (2023); doi:10.3390/batteries9080395
dc.identifier.issn	2313-0105
dc.identifier.uri	https://hdl.handle.net/10651/71620
dc.description.sponsorship	The authors are thankful to ONR for funding the deployment and monitoring of the PV system used in this work with the help of HNEI's Severine Busquet, Jonathan Kobayashi, and Richard Rocheleau. Finally, the authors would also like to thank Sara Matthews fo; ONR
dc.language.iso	eng
dc.relation.ispartof	Batteries
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169055429&doi=10.3390%2fbatteries9080395&partnerID=40&md5=c27c3079ca2e0ddb7d93ed4bb7874e6e
dc.title	Data-driven diagnosis of PV-connected batteries: analysis of two years of observed irradiance
dc.type	journal article
dc.identifier.doi	10.3390/batteries9080395
dc.relation.publisherversion	http://dx.doi.org/10.3390/batteries9080395

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