EN
TR
Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation
Öz
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
Anahtar Kelimeler
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
-
Yayımlanma Tarihi
1 Haziran 2007
Gönderilme Tarihi
1 Haziran 2007
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2007 Cilt: 27 Sayı: 2
APA
Deniz, E., & Atik, K. (2007). Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation. Journal of Thermal Science and Technology, 27(2), 15-20. https://izlik.org/JA55NB88GD
AMA
1.Deniz E, Atik K. Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation. Journal of Thermal Science and Technology. 2007;27(2):15-20. https://izlik.org/JA55NB88GD
Chicago
Deniz, Emrah, ve Kemal Atik. 2007. “Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation”. Journal of Thermal Science and Technology 27 (2): 15-20. https://izlik.org/JA55NB88GD.
EndNote
Deniz E, Atik K (01 Haziran 2007) Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation. Journal of Thermal Science and Technology 27 2 15–20.
IEEE
[1]E. Deniz ve K. Atik, “Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation”, Journal of Thermal Science and Technology, c. 27, sy 2, ss. 15–20, Haz. 2007, [çevrimiçi]. Erişim adresi: https://izlik.org/JA55NB88GD
ISNAD
Deniz, Emrah - Atik, Kemal. “Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation”. Journal of Thermal Science and Technology 27/2 (01 Haziran 2007): 15-20. https://izlik.org/JA55NB88GD.
JAMA
1.Deniz E, Atik K. Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation. Journal of Thermal Science and Technology. 2007;27:15–20.
MLA
Deniz, Emrah, ve Kemal Atik. “Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation”. Journal of Thermal Science and Technology, c. 27, sy 2, Haziran 2007, ss. 15-20, https://izlik.org/JA55NB88GD.
Vancouver
1.Emrah Deniz, Kemal Atik. Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation. Journal of Thermal Science and Technology [Internet]. 01 Haziran 2007;27(2):15-20. Erişim adresi: https://izlik.org/JA55NB88GD