Estimation of the Global Solar Radiation with the Artificial Neural Networks for the City of Sivas

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European Mechanical Science
Volume:2 Issue:2
Estimation of the Global Solar Radiation with the Artificial Neural Networks for the City of Sivas

Estimation of the Global Solar Radiation with the Artificial Neural Networks for the City of Sivas

Authors : Cahit GURLEK, Mustafa SAHİN

Pages : 46-51

Doi:10.26701/ems.359681

View : 46 | Download : 19

Publication Date : 2018-06-20

Article Type : Research Paper

Abstract :In this study, global solar radiation in the city of Sivas was estimated by artificial neural networks insert ignore into journalissuearticles values(ANNs); using meteorological and geographical data obtained from four different measurement stations. Mean bias error insert ignore into journalissuearticles values(MBE);, root mean square error insert ignore into journalissuearticles values(RMSE); and R 2 ranged from -1.264 MJ/m 2 to 0.938 MJ/m 2 , 0.710 MJ/m 2 to 1.598 MJ/m 2 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.
Keywords : Artificial neural networks, Sivas, Solar radiation

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