Table of Contents
ISRN Renewable Energy
Volume 2013 (2013), Article ID 754956, 11 pages
Research Article

A Comparative Study of Some Regression Models to Estimate the Global Solar Radiation on a Horizontal Surface from Sunshine Duration and Meteorological Parameters for Ghardaïa Site, Algeria

Unité de Recherche Appliquée en Energies Renouvelables (URAER), Centre de Développement des Energies Renouvelable (CDER), 47133 Ghardaïa, Algeria

Received 15 April 2013; Accepted 20 May 2013

Academic Editors: B. Chen, S. S. Kalligeros, S. Li, Z. Oktay, and M. Souliotis

Copyright © 2013 Kacem Gairaa and Yahia Bakelli. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A comparison between some regression correlations for predicting the global solar radiation received on a horizontal plane has been processed. Seven models for estimating the global solar radiation from sunshine duration and two meteorological parameters (air temperature and relative humidity) are presented. The root mean square error (RMSE), mean bias error (MBE), correlation coefficient (CC), and percentage error ( ) have been also computed to test the accuracy of the proposed models. Comparisons between the measured and the calculated values have been made. The results obtained show that the linear and quadratic models are the most suitable for estimating the global solar radiation from sunshine duration, and for the models based on meteorological parameters, Abdalla and Ojosu's models give the best performance with a CC of 0.898 and 0.892, respectively.