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Glowworm Swarm Optimization for photovoltaic model identification

dc.contributor.authorNunes, H.G.G.
dc.contributor.authorPombo, José
dc.contributor.authorFermeiro, J.B.L.
dc.contributor.authorMariano, S.
dc.contributor.authorCalado, M. do Rosário
dc.date.accessioned2020-01-10T16:08:36Z
dc.date.available2020-01-10T16:08:36Z
dc.date.issued2017-05-05
dc.description.abstractThis paper presents a new algorithm for finding the parameters that characterize a photovoltaic panel by using the Glowworm Swarm Optimization algorithm. This new algorithm shows great simplicity, flexibility and precision, being able to precisely locate the global optimum point or multiple global optimum points, independently of the initial conditions. The approach here adopted allows the utilization of the algorithm in several existing models to characterize a photovoltaic panel in the current literature.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/YEF-ECE.2017.7935641pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/8211
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.subjectGlowworm Swarm Optimizationpt_PT
dc.subjectPhotovoltaic modulept_PT
dc.subjectModellingpt_PT
dc.subjectSimulationpt_PT
dc.titleGlowworm Swarm Optimization for photovoltaic model identificationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceCosta da Caparica, Portugalpt_PT
oaire.citation.endPage64pt_PT
oaire.citation.startPage59pt_PT
oaire.citation.title16th International Conference on Environment and Electrical Engineering, YEF-ECE 2017pt_PT
person.familyNameGarcia Nunes
person.familyNamePombo
person.familyNameFermeiro
person.familyNamePinto Simões Mariano
person.familyNameCalado
person.givenNameHugo Gabriel
person.givenNameJose
person.givenNameJoão Bernardo Lopes
person.givenNameSílvio José
person.givenNameM. do Rosário
person.identifier.ciencia-id7615-8E00-8084
person.identifier.ciencia-id681A-6F7D-1F77
person.identifier.ciencia-id541F-E2B4-D66D
person.identifier.ciencia-id9115-032B-370B
person.identifier.orcid0000-0002-6029-7032
person.identifier.orcid0000-0002-8727-0067
person.identifier.orcid0000-0002-0560-5389
person.identifier.orcid0000-0002-6102-5872
person.identifier.orcid0000-0002-5206-487X
person.identifier.ridV-4684-2018
person.identifier.ridU-8829-2018
person.identifier.ridN-6834-2013
person.identifier.ridN-6809-2013
person.identifier.scopus-author-id57195107686
person.identifier.scopus-author-id34977533800
person.identifier.scopus-author-id56369104100
person.identifier.scopus-author-id35612517200
person.identifier.scopus-author-id9338016700
rcaap.embargofctCopyright cedido à editora no momento da publicaçãopt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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