A Comparison of Two Solar Radiation Models Using Artificial Neural Networks and Remote Sensing in Turkey

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dc.authoridsahin, mehmet/0000-0001-7942-9253
dc.contributor.authorYildiz, B. Y.
dc.contributor.authorSahin, M.
dc.contributor.authorSenkal, O.
dc.contributor.authorPestemalci, V.
dc.contributor.authorEmrahoglu, N.
dc.date.accessioned2024-12-24T19:28:25Z
dc.date.available2024-12-24T19:28:25Z
dc.date.issued2013
dc.departmentSiirt Üniversitesi
dc.description.abstractThis study introduces artificial neural networks for the estimation of solar radiation using model 1 (latitude, longitude, altitude, month, and meteorological land surface temperature) and model 2 (latitude, longitude, altitude, month, and satellite land surface temperature) data in Turkey. Price method was used for the estimation of land surface temperature values. Scale conjugate gradiant learning algorithms and logistic sigmoid transfer function were used in the network. R 2 with model 1 and model 2 values have been found to be 96.93 and 97.24% (training stations), 80.41 and 82.37% (testing stations), respectively. These results are sufficient to predict the solar radiation.
dc.identifier.doi10.1080/15567036.2011.650276
dc.identifier.endpage217
dc.identifier.issn1556-7036
dc.identifier.issn1556-7230
dc.identifier.issue3
dc.identifier.scopus2-s2.0-84977885164
dc.identifier.scopusqualityQ1
dc.identifier.startpage209
dc.identifier.urihttps://doi.org/10.1080/15567036.2011.650276
dc.identifier.urihttps://hdl.handle.net/20.500.12604/7030
dc.identifier.volume35
dc.identifier.wosWOS:000312697300003
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Inc
dc.relation.ispartofEnergy Sources Part A-Recovery Utilization and Environmental Effects
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectland surface temperature
dc.subjectremote sensing
dc.subjectscale conjugate gradiant
dc.subjectsolar radiation
dc.subjectTurkey
dc.titleA Comparison of Two Solar Radiation Models Using Artificial Neural Networks and Remote Sensing in Turkey
dc.typeArticle

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