Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/54537
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dc.contributor.authorMa, J-
dc.contributor.authorMan, Ka Lok-
dc.contributor.authorTing, T. O-
dc.contributor.authorZhang, Nan-
dc.contributor.authorGuan, S. U-
dc.contributor.authorWong, Prudence W. H-
dc.contributor.authorLim, E. G-
dc.contributor.authorKrilavičius, Tomas-
dc.contributor.authorSaulevičius, D-
dc.contributor.authorLei, C. U-
dc.coverage.spatialLT-
dc.date.accessioned2018-10-07T00:14:17Z-
dc.date.available2018-10-07T00:14:17Z-
dc.date.issued2014-
dc.identifier.issn13921215-
dc.identifier.otherVDU02-000015513-
dc.identifier.urihttps://doi.org/10.5755/j01.eee.20.1.6165-
dc.description.abstractA precise single-diode analytical model of Photovoltaic (PV) modules is generally nonlinear analytical equations with high computation complexity. This paper proposes a simple computational method for the PV model. Its exponential diode behaviour is simplified via Least Squares Approximation (LSA), which permits designers or engineers to predict the electrical characteristics of a PV module without using iterative numerical calculations. Based on experimental data, the methodology is validated by covering a wide range of operation conditions. Simulation and experimental results prove the effectiveness and accuracy of the proposed methoden
dc.description.sponsorshipBaltijos pažangių technologijų institutas, Vilnius-
dc.description.sponsorshipInformatikos fakultetas-
dc.description.sponsorshipTaikomosios informatikos katedra-
dc.description.sponsorshipVytauto Didžiojo universitetas-
dc.format.extentp. 41-44-
dc.language.isoen-
dc.relation.ispartofElektronika ir elektrotechnika = Electronics and electrical engineering = Электроника и электротехника. Kaunas : Technologija, Vol. 20, no. 1, 2014-
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)-
dc.relation.isreferencedbyINSPEC-
dc.relation.isreferencedbyCentral Eastern European Academic Source (EBSCO)-
dc.relation.isreferencedbyScopus-
dc.subjectAnalytical modelsen
dc.subjectPhotovoltaic cellsen
dc.subjectLeast square approximationen
dc.subject.otherInformatika / Informatics (N009)-
dc.titleSimple computational method of predicting electrical characteristics in solar cellsen
dc.typeStraipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)-
dc.identifier.doihttps://doi.org/10.5755/j01.eee.20.1.6165-
dc.identifier.isiWOS:000330693600009-
dcterms.bibliographicCitation15-
dc.date.updated2019-03-06T14:54Z-
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Appears in Collections:Universiteto mokslo publikacijos / University Research Publications
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