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

Year 2018, Volume: 2 Issue: 2, 46 - 51, 20.06.2018

Cahit Gurlek , Mustafa Sahin

https://doi.org/10.26701/ems.359681

Cited By: 3

Abstract

In this study, global solar radiation in the
city of Sivas was estimated by artificial neural networks (ANNs) using
meteorological and geographical data obtained from four different measurement
stations. Mean bias error (MBE), root mean square error (RMSE) and R²
ranged from -1.264 MJ/m² to 0.938 MJ/m², 0.710 MJ/m²
to 1.598 MJ/m² 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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