Estimation of global solar radiation on horizontal surface using meteorological data
Küçük Resim Yok
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In 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.
Açıklama
Anahtar Kelimeler
Artificial Neural Networks, Meteorological data, Regression analysis
Kaynak
Energy Education Science and Technology Part A: Energy Science and Research
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
28
Sayı
2
