Investigation of using regression analysis and artificial neural network methods in estimate of solar radiation
Küçük Resim Yok
Tarih
2007
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Turkish Soc Thermal Sciences Technology
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the more effective one of two methods, artificial neural network and regression analysis, was tried to be determined when they were used in estimation of the solar radiation intensity. For this purpose, wind velocity, air temperature, soil temperature, declination angle, humidity, the ratio of solar irradiation to daytime length, and monthly average of extraterrestrial solar radiation data between 1995 and 2004 belonging to Zonguldak city was obtained from Turkish State Meteorological Service (TSMS). Models were developed by regression analysis and artificial neural network (ANN) with the data obtained. Using these models, mountly average values of total solar irradiation between January/2005 and December/2005 were calculated and these calculated results were compared to measured results of the same period. It was determined that there are mean relative errors of 1.28 % and 3.25 % when the estimation was made by regression analysis and artificial neural network respectively.
Açıklama
Anahtar Kelimeler
solar radiation, estimation method, regression analysis, artificial neural network
Kaynak
Isi Bilimi Ve Teknigi Dergisi-Journal of Thermal Science and Technology
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
27
Sayı
2
