Prediction of diffuse solar radiation using satellite data

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Özet

In the project of the solar systems, the values of the solar radiation of a region must be known. The global solar radiation measurements are performed by the Turkish Meteorological Service in Turkey, while the diffuse solar radiation measurements are unavailable. In this study, some new models for predicting the monthly average daily diffuse solar radiation on a horizontal surface for Erzincan, Turkey are developed using satellite data. The evaluation of the models is carried out with the statistical analysis methods of mean bias error (MBE), root mean square error (RMSE) and correlation coefficient (r). The results are proved that the correlation equations obtained in here can be used to forecast diffuse solar radiation reasonably well. © 2018 Taylor & Francis Group, LLC.

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dc.contributor.authorBakirci, Kadir
dc.contributor.authorKirtiloglu, Yusuf
dc.date.accessioned2026-10-18T20:28:58.810800979Z
dc.date.available2026-10-18T20:28:58.810800979Z
dc.date.issued2018
dc.description.abstractIn the project of the solar systems, the values of the solar radiation of a region must be known. The global solar radiation measurements are performed by the Turkish Meteorological Service in Turkey, while the diffuse solar radiation measurements are unavailable. In this study, some new models for predicting the monthly average daily diffuse solar radiation on a horizontal surface for Erzincan, Turkey are developed using satellite data. The evaluation of the models is carried out with the statistical analysis methods of mean bias error (MBE), root mean square error (RMSE) and correlation coefficient (r). The results are proved that the correlation equations obtained in here can be used to forecast diffuse solar radiation reasonably well. © 2018 Taylor & Francis Group, LLC.
dc.identifier.doi10.1080/15435075.2018.1423976
dc.identifier.eissn1543-5083
dc.identifier.endpage79
dc.identifier.issn1543-5075
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85040865620
dc.identifier.startpage76
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/14190
dc.identifier.volume15
dc.identifier.wosWOS:000423203500004
dc.language.isoen
dc.publisherTaylor and Francis Inc.
dc.relation.ispartofInternational Journal of Green Energy
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectClearness index
dc.subjectdiffuse solar radiation
dc.subjectmodel
dc.subjectsatellite data
dc.subjectsolar energy
dc.subjectErzincan [Turkey]
dc.subjectTurkey
dc.subjectForecasting
dc.subjectMean square error
dc.subjectModels
dc.subjectSatellites
dc.subjectSolar radiation
dc.subjectClearness indices
dc.subjectCorrelation coefficient
dc.subjectCorrelation equation
dc.subjectDiffuse solar radiations
dc.subjectGlobal solar radiation
dc.subjectRoot mean square errors
dc.subjectStatistical analysis methods
dc.subjectcorrelation
dc.subjectdiffusion
dc.subjectprediction
dc.subjectsolar power
dc.subjectstatistical analysis
dc.subjectRadiation
dc.titlePrediction of diffuse solar radiation using satellite data
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus16
rdl.citation.wos10
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)