V. Badescu, Modelling Solar radiation at the earth surface, recent advances, 2008.

E. Bird and R. L. Hulstrom, A Simplified Clear Sky Model for Direct and Diffuse Insolation on Horizontal Surfaces, SERI, 1981.

A. S. Bouhouras, A. G. Marinopoulos, D. P. Labridis, and P. S. Dokopoulos, Installation of PV systems in Greece???Reliability improvement in the transmission and distribution system, Electric Power Systems Research, vol.80, issue.5, 2009.
DOI : 10.1016/j.epsr.2009.10.018

R. Bourbonnais and M. Terraza, Analyse des séries temporelles, p.318, 2008.

P. J. Brockwell and R. A. Davis, Time series: theory and methods, (USA). 577p. Springer series in statistics, 2006.

G. Celeux and J. P. Nakache, Analyse discriminante sur variables qualitatives, 1994.

P. Cortez, M. Rocha, and J. Neves, Evolving Time Series Forecasting Neural Network Models. Proceeding of int. symposium on adaptive systems: evolutionary computation and probabilistic graphical models, 2001.

S. E. Crone, L. Lemaire, J. Pouget, F. E. Testu, E. J. Michaux et al., Grocer: an econometric toolbox for Scilab, Times series forecasting with neural networks: a case study, Research report 95-06 of the statistics group, 1982.

J. D. Hamilton, Times series analysis, 1994.

J. E. Hay and J. A. Davies, Calculation of the solar radiation incident on an inclined surface, Proc. First Canadian Solar radiation workshop, pp.59-72, 1980.

F. Hocaoglu, O. Gerek, and M. Kurban, Hourly solar radiation forecasting using optimal coefficient 2-D linear filters and feed-forward neural networks, Solar Energy, vol.82, issue.8, pp.714-726, 2008.
DOI : 10.1016/j.solener.2008.02.003

P. Ineichen, A broadband simplified version of the Solis clear sky model. Solar Energy, pp.82-90, 2008.

P. Ineichen, O. Guisan, and R. Perez, Ground-reflected radiation and albedo. Solar Energy, pp.44-48, 1990.
DOI : 10.1016/0038-092x(90)90149-7

URL : http://archive-ouverte.unige.ch/unige:17200

S. Kalogirou, Artificial neural networks in renewable energy systems applications: a review. Renewable and sustainable energy reviews 5, pp.373-401, 2001.

B. Y. Liu and R. C. Jordan, Daily insolation on surfaces tilted towards the equator, Trans SHRAE, vol.67, pp.526-541, 1962.

D. O. Logofet and E. V. Lesnaya, The mathematics of Markov models: what Markov chains can really predict in forest successions, Ecological Modelling, vol.126, issue.2-3, pp.285-298, 2000.
DOI : 10.1016/S0304-3800(00)00269-6

A. Mellit and S. Kalogirou, Artificial intelligence techniques for photovoltaic applications: A review, Progress in Energy and Combustion Science 1-1, pp.52-76, 2008.
DOI : 10.1016/j.pecs.2008.01.001

A. Mellit, S. A. Kalogirou, L. Hontoria, and S. Shaari, Artificial intelligence techniques for sizing photovoltaic systems: A review, Renewable and Sustainable Energy Reviews, vol.13, issue.2, pp.406-419, 2009.
DOI : 10.1016/j.rser.2008.01.006

J. Mubiru, Predicting total solar irradiation values using artificial neural networks. Renewable Energy 33-10, pp.2329-2332, 2008.

J. Mubiru and E. Banda, Estimation of monthly average daily global solar irradiation using artificial neural networks, Solar Energy, vol.82, issue.2, pp.82-84, 2008.
DOI : 10.1016/j.solener.2007.06.003

R. W. Mueller, K. F. Dagestad, P. Ineichen, M. Schroedter-homscheidt, S. Cros et al., Rethinking satellite-based solar irradiance modellingThe SOLIS clear-sky module, Remote Sensing of Environment, vol.91, issue.2, pp.160-174, 2004.
DOI : 10.1016/j.rse.2004.02.009

M. Muselli, P. Poggi, G. Notton, and A. Louche, First Order Markov Chain Model for Generating Synthetic 'Typical Days' Series of Global Irradiation in Order to Design PV Stand Alone Systems. Energy Conversion and Management, pp.42-48, 2001.
URL : https://hal.archives-ouvertes.fr/hal-00541261

A. M. Noorian, I. Moradi, and G. A. Kamali, Evaluation of 12 models to estimate hourly diffuse irradiation on inclined surfaces, Renewable Energy, vol.33, issue.6, pp.1406-1412, 2008.
DOI : 10.1016/j.renene.2007.06.027

G. Notton, P. Poggi, and C. Cristofari, Predicting hourly solar irradiations on inclined surfaces based on the horizontal measurements: Performances of the association of well-known mathematical models, Energy Conversion and Management, vol.47, issue.13-14, pp.1816-1829, 2006.
DOI : 10.1016/j.enconman.2005.10.009

URL : https://hal.archives-ouvertes.fr/hal-00541232

G. Notton, C. Cristofari, and P. Poggi, Performance evaluation of various hourly slope irradiation models using Mediterranean experimental data of Ajaccio, Energy Conversion and Management, pp.147-173, 2006.

R. Perez, P. Ineichen, and R. Seals, Modelling daylight availability and irradiance components from direct and global irradiance, Solar Energy, pp.44-49, 1990.

A. Pole, M. West, and J. Harrison, Applied Bayesian forecasting and time series analysis, 1994.
DOI : 10.1007/978-1-4899-3432-1

L. Qoaider and D. Steinbrecht, Photovoltaic systems: A cost competitive option to supply energy to off-grid agricultural communities in arid regions, Applied Energy, vol.87, issue.2, 2009.
DOI : 10.1016/j.apenergy.2009.06.012

D. T. Reindl, W. A. Beckman, and J. A. Duffie, Evaluation of hourly tilted surface radiation models. Solar Energy, pp.9-17, 1990.

M. Sharif and D. H. Burn, Simulating climate change scenarios using an improved K-nearest neighbor model, Journal of Hydrology, vol.325, issue.1-4, pp.1-4179, 2006.
DOI : 10.1016/j.jhydrol.2005.10.015

I. Spanos and L. Duckers, Expected cost benefits of building-integrated PVs in UK, through a quantitative economic analysis of PVs in connection with buildings, focused on UK and Greece, Renewable energy, pp.1289-1303, 2004.

S. Yakowitz, NEAREST-NEIGHBOUR METHODS FOR TIME SERIES ANALYSIS, Journal of Time Series Analysis, vol.21, issue.2, pp.235-247, 1987.
DOI : 10.2307/2288075

G. 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