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TR
Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation
Abstract
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
Keywords
Details
Primary Language
English
Subjects
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Journal Section
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Publication Date
June 1, 2007
Submission Date
June 1, 2007
Acceptance Date
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Published in Issue
Year 2007 Volume: 27 Number: 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, and 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 (June 1, 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 and K. Atik, “Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation”, Journal of Thermal Science and Technology, vol. 27, no. 2, pp. 15–20, June 2007, [Online]. Available: 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 (June 1, 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, and Kemal Atik. “Investigation of Using Regression Analysis and Artificial Neural Network Methods in Estimate of Solar Radiation”. Journal of Thermal Science and Technology, vol. 27, no. 2, June 2007, pp. 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]. 2007 Jun. 1;27(2):15-20. Available from: https://izlik.org/JA55NB88GD