In this study, global solar radiation in the
city of Sivas was estimated by artificial neural networks (ANNs) using
meteorological and geographical data obtained from four different measurement
stations. Mean bias error (MBE), root mean square error (RMSE) and R2
ranged from -1.264 MJ/m2 to 0.938 MJ/m2, 0.710 MJ/m2
to 1.598 MJ/m2 and 0.984 to 0.994, respectively. It is believed that
ANN models could be used to predict global solar radiation for locations where
only the temperature and sunshine duration data are available in the city of
Sivas.
Konular | Makine Mühendisliği |
---|---|
Bölüm | Research Article |
Yazarlar | |
Yayımlanma Tarihi | 20 Haziran 2018 |
Kabul Tarihi | 16 Ocak 2018 |
Yayımlandığı Sayı | Yıl 2018 Cilt: 2 Sayı: 2 |