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Comparison of Artificial Neural Network (ANN) and Angstrom-Prescott models in correlation between sunshine hours and global solar radiation of Uyo city, Nigeria | Abstract
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Abstract

Comparison of Artificial Neural Network (ANN) and Angstrom-Prescott models in correlation between sunshine hours and global solar radiation of Uyo city, Nigeria

Author(s): Ibeh G.F, Agbo G. A, Agbo P.E, Ona

In this study, the prediction of global solar radiation at Uyo- Nigeria latitude 5.020N was carried out. The daily mean sunshine hour for seventeen years (1991 to 2007) from Nigerian Meteorological Agency, Federal Ministry of Aviation, Oshodi, Lagos, Nigeria were used. The global solar radiation data were collected courtesy of Renewable Energy for Rural Industrialization and Development in Nigeria. The value of correlation coefficient and coefficient of determination using ANN model and Angstrom-Prescott model were determined to be 0.993 and 0.985 for ANN, 0.870 and 0.757 for Angstrom-Prescott model. This result indicates better correlation of ANN which is 97.4% compared to Angstrom-Prescott model which is 75.77%. Thus ANN model is recommended as a better model for Global Solar Radiation prediction.