Prediction of diffuse solar radiation using satellite data
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.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Bakirci, Kadir | |
| dc.contributor.author | Kirtiloglu, Yusuf | |
| dc.date.accessioned | 2026-10-18T20:28:58.810800979Z | |
| dc.date.available | 2026-10-18T20:28:58.810800979Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | 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. | |
| dc.identifier.doi | 10.1080/15435075.2018.1423976 | |
| dc.identifier.eissn | 1543-5083 | |
| dc.identifier.endpage | 79 | |
| dc.identifier.issn | 1543-5075 | |
| dc.identifier.issue | 2 | |
| dc.identifier.scopus | 2-s2.0-85040865620 | |
| dc.identifier.startpage | 76 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/ebyu/14190 | |
| dc.identifier.volume | 15 | |
| dc.identifier.wos | WOS:000423203500004 | |
| dc.language.iso | en | |
| dc.publisher | Taylor and Francis Inc. | |
| dc.relation.ispartof | International Journal of Green Energy | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Clearness index | |
| dc.subject | diffuse solar radiation | |
| dc.subject | model | |
| dc.subject | satellite data | |
| dc.subject | solar energy | |
| dc.subject | Erzincan [Turkey] | |
| dc.subject | Turkey | |
| dc.subject | Forecasting | |
| dc.subject | Mean square error | |
| dc.subject | Models | |
| dc.subject | Satellites | |
| dc.subject | Solar radiation | |
| dc.subject | Clearness indices | |
| dc.subject | Correlation coefficient | |
| dc.subject | Correlation equation | |
| dc.subject | Diffuse solar radiations | |
| dc.subject | Global solar radiation | |
| dc.subject | Root mean square errors | |
| dc.subject | Statistical analysis methods | |
| dc.subject | correlation | |
| dc.subject | diffusion | |
| dc.subject | prediction | |
| dc.subject | solar power | |
| dc.subject | statistical analysis | |
| dc.subject | Radiation | |
| dc.title | Prediction of diffuse solar radiation using satellite data | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.scopus | 16 | |
| rdl.citation.wos | 10 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |
