Estimation of Global Solar Radiation in Mubi, Nigeria

Ogbaka D.T^1*, Bassi H², Lami D.S³ and Tahir M.A⁴

Abstract

Application of solar energy system requires having knowledge about solar irradiation potential in different locations. This study therefore used artificial neural networks for predicting solar global radiation by using metrological data. There is no report about prediction of solar radiation potential for Mubi by using Artificial Neural Network (ANN) method. It is very encouraging to observe a very fine agreement between the measured and estimated values shown in study. The ANN Model is considered the best relation for estimating the global solar radiation intensity for Mubi region with an acceptable error. The MSE, RMSE, MBE, MABE and MAPE values are 0.930, 0.964, 0.3358 MJm−2day−1, 0.8175 MJm−2day−1 and 19.30%, respectively. The ANN models appear auspicious for estimating the Global Solar Radiation in the locations where there are no solar radiation measurement stations.

Keywords

solar radiation; artificial neural network; renewable energy; multi-layer perception; Mubi

Cite This Article

Ogbaka, D.T., Bassi, H., Lami, D.S., Tahir, M. A. (2021). Estimation of Global Solar Radiation in Mubi, Nigeria. International Journal of Scientific Advances (IJSCIA), Volume 2| Issue 3: May-Jun 2021, Pages 465-469, URL: https://www.ijscia.com/wp-content/uploads/2021/06/Volume2-Issue3-May-Jun-No.111-465-469.pdf

Volume 2 | Issue 3: May-Jun 2021