Application of Artificial Neural Network in Solar Energy

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorLund, Peteren_US
dc.contributor.authorDU, Binen_US
dc.contributor.departmentDepartment of Applied Physicsen
dc.contributor.groupauthorNew Energy Technologiesen
dc.contributor.organizationSoutheast University, Nanjingen_US
dc.date.accessioned2023-02-01T09:12:12Z
dc.date.available2023-02-01T09:12:12Z
dc.date.issued2023-01-25en_US
dc.description.abstractAccurate prediction of system performance is very important for the optimal planning of solar energy systems. The latest research of artificial neural network (ANN) technology for predicting the efficiency of solar thermal systems and the performance of photovoltaic system is reported here. Application of ANN to performance assessment of solar collectors is briefly reviewed including novel all-glass straight-through evacuated tube collectors. An overview of the most recent work of ANN for combined photovoltaic/thermal panels (PV/T) and concentrating photovoltaic collectors is also provided.en
dc.description.versionPeer revieweden
dc.format.extent17
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationLund, P & DU, B 2023, Application of Artificial Neural Network in Solar Energy. in Artificial Neural Networks - Recent Advances, New Perspectives and Applications. InTech Open, pp. 1-17. https://doi.org/10.5772/intechopen.106977en
dc.identifier.doi10.5772/intechopen.106977en_US
dc.identifier.isbn978-1-83768-222-5
dc.identifier.isbn978-1-83768-223-2
dc.identifier.otherPURE UUID: bdf6d3d9-49b6-40e4-8848-ca6d30fafa97en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/bdf6d3d9-49b6-40e4-8848-ca6d30fafa97en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/98983145/Application_of_Artificial_Neural_Network_in_Solar_Energy.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/119561
dc.identifier.urnURN:NBN:fi:aalto-202302011911
dc.language.isoenen
dc.relation.ispartofArtificial Neural Networks - Recent Advances, New Perspectives and Applicationsen
dc.relation.ispartofpp. 1-17en
dc.rightsopenAccessen
dc.titleApplication of Artificial Neural Network in Solar Energyen
dc.typeA3 Kirjan tai muun kokoomateoksen osafi
dc.type.versionpublishedVersion

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