Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9523
DC FieldValueLanguage
dc.contributor.authorAlmonacid, Florencia-
dc.contributor.authorMellit, Adel-
dc.contributor.authorKalogirou, Soteris A.-
dc.date.accessioned2017-02-08T08:21:16Z-
dc.date.available2017-02-08T08:21:16Z-
dc.date.issued2015-08-05-
dc.identifier.citationHigh Concentrator Photovoltaics, 2015, pp. 333-351en_US
dc.identifier.isbn978-3-319-15039-0-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/9523-
dc.description.abstractHigh-concentrator photovoltaic (HCPV) devices are based on the use of multijunctions solar cells and optical devices. Therefore, the electrical modelling of an HCPV device presents a great level of complexity. Several artificial neural network (ANN)-based models have been developed to try to address this issue. In this chapter, a review of the developed ANN-based models developed to try to address some issues related with the field of high concentrator PV technology is reported. In addition, the results obtained from the application of some of these models to estimate the electrical parameters of an HCPV module-such as maximum power, short-circuit current, and open-circuit voltage-are presented. The results show that the ANNs are a useful tool for modelling HCPV applications.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© Springer International Publishing Switzerland 2015en_US
dc.subjectHigh-concentrator photovoltaicsen_US
dc.subjectArtificial neural networksen_US
dc.titleApplications of ANNs in the field of the HCPV technologyen_US
dc.typeBook Chapteren_US
dc.collaborationUniversity of Jaenen_US
dc.collaborationJijel Universityen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryEnvironmental Engineeringen_US
dc.countrySpainen_US
dc.countryAlgeriaen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1007/978-3-319-15039-0_12en_US
cut.common.academicyear2019-2020en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_3248-
item.openairetypebookPart-
item.languageiso639-1en-
crisitem.author.deptDepartment of Mechanical Engineering and Materials Science and Engineering-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-4497-0602-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Κεφάλαια βιβλίων/Book chapters
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