Estimation of global solar radiation on horizontal surface using meteorological data

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dc.contributor.authorGurel, A.E.
dc.contributor.authorErgun, A.
dc.date.accessioned2024-09-29T16:22:13Z
dc.date.available2024-09-29T16:22:13Z
dc.date.issued2012
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn the present study, the methods of Artificial Neural Networks (ANN) and Regression Analysis were used in estimating monthly average daily global solar radiation arriving on horizontal surface in Rize with the help of meteorological and geographic data like monthly average daily extraterrestrial radiation, monthly average daily hours of bright sunshine, day length, relative humidity, wind speed, temperature and declination angle. Mean bias error (MBE), root mean square error (RMSE) and t-statistic methods were used to evaluate performance of the estimation. It was seen at the end of the study that the equation obtained through multi-regression analysis method yielded better performance than that of obtained through ANN method. © Sila Science.en_US
dc.identifier.endpage948en_US
dc.identifier.issn1308-772X
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84861968690en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage941en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9909
dc.identifier.volume28en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofEnergy Education Science and Technology Part A: Energy Science and Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectMeteorological dataen_US
dc.subjectRegression analysisen_US
dc.titleEstimation of global solar radiation on horizontal surface using meteorological dataen_US
dc.typeArticleen_US

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