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Artificial neural network and empirical models for the correlation of annual average global solar radiation with maximum temperature at Uyo, Nigeria | Abstract
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Abstract

Artificial neural network and empirical models for the correlation of annual average global solar radiation with maximum temperature at Uyo, Nigeria

Author(s): Ibeh G.F, Agbo G.A, Anyigor S, Isikwue B.C

Annual average daily values of global solar radiation and annual maximum temperature over a period of seventeen years (1991-2007) using artificial neural network model and Angstrom-Prescott model have been developed to estimate annual global solar radiation at Uyo which lies latitude 5o 30Ã?ªÃ?žÃ?Å?N, and Longitude 5o 41Ã?ªÃ?žÃ?Å?E. It was found that both models has estimating capacity but artificial neural network has better estimating ability and was suggested for the estimation of global solar radiation of Uyo and its environ. The dependency of the models was tested in terms of mean percentage error (MPE), mean bias error (MBE) and root mean square error (RMSE) and the artificial neural network model were found to have low error values when compared to Angstrom model.