A. Mellit, S. A. Kalogirou, L. Hontoria, and S. Shaari, Artificial intelligence techniques for sizing photovoltaic systems: A review. Renewable and Sustainable Energy Reviews, pp.406-419, 2009.

A. Mellit, S. A. Kalogirou, L. Hontoria, and S. Shaari, Artificial intelligence techniques for photovoltaic applications: A review, Progress in Energy and Combustion Science, 2008.
DOI : 10.1016/j.pecs.2008.01.001

J. Mubiru, Predicting total solar irradiation values using artificial neural networks, Renewable Energy, vol.33, issue.10, pp.2329-2332, 2008.
DOI : 10.1016/j.renene.2008.01.009

J. Mubiru and E. J. Banda, Estimation of monthly average daily global solar irradiation using artificial neural networks. Solar Energy, pp.181-187, 2008.

S. A. Kaligirou, Artificial neural networks in renewable energy systems applications: a review. Renewable and sustainable energy review, pp.373-401, 2001.

F. 0. Hocaoglu, O. N. Gerek, and M. Kurban, Hourly solar forecasting using optimal coefficient 2-D linear filter and feed-forward neural networks. Solar energy, p.7, 2008.

G. P. Zhang and M. Qi, Neural network forecasting for seasonal and trend time series, European Journal of Operational Research, vol.160, issue.2, pp.501-514, 2005.
DOI : 10.1016/j.ejor.2003.08.037

V. Badescu, Modelling Solar radiation at the earth surface, p.9, 2008.

D. Reindl, W. Beckman, and J. Duffie, Evaluation of hourly tilted surface radiation models, Solar Energy, vol.45, issue.1, pp.9-17, 1990.
DOI : 10.1016/0038-092X(90)90061-G

B. Liu and R. Jordan, Daily insolation on surfaces tilted towards the equator, Trans SHRAE, vol.67, pp.526-567, 1962.

J. Davies and J. , Calculation of the solar radiation incident on an inclined surface, Proc. first Canadian solar radiation workshop, pp.59-72, 1980.

R. Perez, P. Ineichen, and R. Seals, Modelling daylight availability and irradiance components rom direct and global irradiance. Solar Energy, pp.271-280, 1990.
DOI : 10.1016/0038-092x(90)90055-h

URL : http://archive-ouverte.unige.ch/unige:17206