R. P. Allan, Combining satellite data and models to estimate cloud radiative effect at the surface and in the atmosphere, Meteorological Applications, vol.19, issue.3, pp.324-333, 2011.
DOI : 10.1002/met.285

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, pp.547-555, 2010.
DOI : 10.1016/j.epsr.2009.10.018

S. F. Crone, Stepwise Selection of Artificial Neural Network Models for Time Series Prediction, Journal of Intelligent Systems, vol.14, issue.2-3, 2005.
DOI : 10.1515/JISYS.2005.14.2-3.99

G. Cybenko, Approximation by superpositions of a sigmoidal function, Mathematics of Control, Signals, and Systems, vol.27, issue.4, pp.303-314, 1989.
DOI : 10.1007/BF02551274

C. Darras, M. Muselli, P. Poggi, C. Voyant, J. Hoguet et al., PV output power fluctuations smoothing: The MYRTE platform experience, International Journal of Hydrogen Energy, vol.37, issue.19, pp.14015-14025, 2012.
DOI : 10.1016/j.ijhydene.2012.07.083

URL : https://hal.archives-ouvertes.fr/hal-00731038

J. G. De-gooijer and R. J. Hyndman, 25 years of time series forecasting, International Journal of Forecasting, vol.22, issue.3, pp.443-473, 2006.
DOI : 10.1016/j.ijforecast.2006.01.001

H. K. Elminir, Y. A. Azzam, and F. I. Younes, Prediction of hourly and daily diffuse fraction using neural network, as compared to linear regression models, Energy, vol.32, issue.8, pp.1513-1523, 2007.
DOI : 10.1016/j.energy.2006.10.010

G. Dountio, E. Njomo, D. Fouda, E. Simo, and A. , On the reliability of HELIOSAT method: A comparison with experimental data, Solar Energy, vol.84, issue.6, pp.1047-1058, 2010.
DOI : 10.1016/j.solener.2010.03.013

C. A. Gueymard, Clear-sky irradiance predictions for solar resource mapping and large-scale applications: Improved validation methodology and detailed performance analysis of 18 broadband radiative models, Solar Energy, vol.86, issue.8, pp.2145-2169, 2012.
DOI : 10.1016/j.solener.2011.11.011

J. Hamilton, Time series analysis, 1994.

P. Haurant, M. Muselli, B. Pillot, and P. Oberti, Disaggregation of satellite derived irradiance maps: Evaluation of the process and application to Corsica, Solar Energy, vol.86, issue.11, pp.3168-3182, 2012.
DOI : 10.1016/j.solener.2012.08.010

P. Haurant, C. Voyant, M. Muselli, C. Paoli, and M. Nivet, Hourly global radiation prediction from geostationary satellite data, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00865919

F. O. Hocaoglu, Stochastic approach for daily solar radiation modeling, Solar Energy, vol.85, issue.2, pp.278-287, 2011.
DOI : 10.1016/j.solener.2010.12.003

K. Hornik, M. Stinchcombe, and H. White, Multilayer feedforward networks are universal approximators, Multilayer feedforward networks are universal approximators, pp.359-366, 1989.
DOI : 10.1016/0893-6080(89)90020-8

D. Huang and T. W. Chow, Effective feature selection scheme using mutual information, Neurocomputing, vol.63, pp.325-343, 2005.
DOI : 10.1016/j.neucom.2004.01.194

P. Ineichen, C. S. Barroso, B. Geiger, R. Hollmann, A. Marsouin et al., Satellite Application Facilities irradiance products: hourly time step comparison and validation over Europe, International Journal of Remote Sensing, vol.33, issue.21, pp.5549-5571, 2009.
DOI : 10.1080/01431160600617236

P. Inness and S. Dorling, NWP Models - the Basic Principles, pp.53-107, 2012.
DOI : 10.1002/9781118447659.ch4

A. Jiang, X. Huang, Z. Zhang, J. Li, Z. Zhang et al., Mutual information algorithms, Mechanical Systems and Signal Processing, vol.24, issue.8, pp.2947-2960, 2010.
DOI : 10.1016/j.ymssp.2010.05.015

F. Kasten, The linke turbidity factor based on improved values of the integral Rayleigh optical thickness, Solar Energy, vol.56, issue.3, pp.239-244, 1996.
DOI : 10.1016/0038-092X(95)00114-7

C. Köpken, G. Kelly, and J. Thépaut, Assimilation of Meteosat radiance data within the 4D-Var system at ECMWF: Assimilation experiments and forecast impact, Quarterly Journal of the Royal Meteorological Society, vol.126, issue.601, pp.2277-2292, 2004.
DOI : 10.1256/qj.02.230

D. A. Low, W. B. Harms, S. Mutic, and J. A. Purdy, A technique for the quantitative evaluation of dose distributions, Medical Physics, vol.23, issue.5, pp.656-661, 1998.
DOI : 10.1118/1.598248

R. Loyola and D. G. , Applications of neural network methods to the processing of earth observation satellite data, Neural Networks, vol.19, issue.2, pp.168-177, 2006.
DOI : 10.1016/j.neunet.2006.01.010

A. K. Maini and V. Agrawal, Weather Satellites, in: Satellite Technology, pp.391-425, 2006.

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

M. Muselli, G. Notton, J. L. Canaletti, and A. Louche, Utilization of meteosat satellite-derived radiation data for integration of autonomous photovoltaic solar energy systems in remote areas, Energy Conversion and Management, vol.39, issue.1-2, pp.1-19, 1998.
DOI : 10.1016/S0196-8904(96)00183-5

M. Muselli, P. Poggi, G. Notton, and A. Louche, Improved procedure for stand-alone photovoltaic systems sizing using METEOSAT satellite images, Solar Energy, vol.62, issue.6, pp.429-444, 1998.
DOI : 10.1016/S0038-092X(98)00030-9

R. K. Parviz, M. Nasser, and M. R. Motlagh, Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction, Artificial Neural Networks -ICANN 2008, pp.798-807, 2008.
DOI : 10.1007/978-3-540-87536-9_82

M. Paulescu, Weather modeling and forecasting of PV systems operation, 2013.
DOI : 10.1007/978-1-4471-4649-0

R. Perez, T. Cebecauer, and M. ?úri, Chapter 2 -Semi-Empirical Satellite Models, in: Solar Energy Forecasting and Resource Assessment, pp.21-48, 2013.

X. Pons and M. Ninyerola, Mapping a topographic global solar radiation model implemented in a GIS and refined with ground data, International Journal of Climatology, vol.32, issue.13, pp.1821-1834, 2008.
DOI : 10.1002/joc.1676

A. Rahimikhoob, S. M. Behbahani, and M. E. Banihabib, Comparative study of statistical and artificial neural network's methodologies for deriving global solar radiation from NOAA satellite images, International Journal of Climatology, vol.83, issue.3, pp.480-486, 2013.
DOI : 10.1002/joc.3441

J. Remund, L. Wald, M. Lefèvre, T. Ranchin, and J. H. Page, Worldwide Linke turbidity information, Proceedings of ISES Solar World Congress 2003. Presented at the ISES Solar World Congress, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00465791

C. Rigollier, O. Bauer, and L. Wald, On the clear sky model of the ESRA ??? European Solar Radiation Atlas ??? with respect to the heliosat method, Solar Energy, vol.68, issue.1, pp.33-48, 2000.
DOI : 10.1016/S0038-092X(99)00055-9

URL : https://hal.archives-ouvertes.fr/hal-00361373

C. Rigollier, M. Lefèvre, and L. Wald, The method Heliosat-2 for deriving shortwave solar radiation from satellite images, Solar Energy, vol.77, issue.2, pp.159-169, 2004.
DOI : 10.1016/j.solener.2004.04.017

URL : https://hal.archives-ouvertes.fr/hal-00361364

M. ?ahin, Y. Kaya, and M. Uyar, Comparison of ANN and MLR models for estimating solar radiation in Turkey using NOAA/AVHRR data, Advances in Space Research, vol.51, issue.5
DOI : 10.1016/j.asr.2012.10.010

O. ?enkal, Modeling of solar radiation using remote sensing and artificial neural network in Turkey, Energy, vol.35, issue.12, pp.4795-4801, 2010.
DOI : 10.1016/j.energy.2010.09.009

A. Sfetsos and A. H. Coonick, Univariate and multivariate forecasting of hourly solar radiation with artificial intelligence techniques, Solar Energy, vol.68, issue.2, pp.169-178, 2000.
DOI : 10.1016/S0038-092X(99)00064-X

R. Singh, G. Kelly, R. Brugge, and A. Neill, A comparison of the performance of Kalpana and Meteosat-7 WV radiances in the ECMWF NWP model, Quarterly Journal of the Royal Meteorological Society, vol.36, issue.659, pp.1573-1580, 2011.
DOI : 10.1002/qj.848

B. Thies and J. Bendix, Satellite based remote sensing of weather and climate: recent achievements and future perspectives, Meteorological Applications, vol.113, issue.D13, pp.262-295, 2011.
DOI : 10.1002/met.288

S. J. Thomas and I. R. Cowley, A Comparison of Four Indices for Combining Distance and Dose Differences, International Journal of Radiation Oncology*Biology*Physics, vol.82, issue.5, pp.717-723, 2012.
DOI : 10.1016/j.ijrobp.2011.11.009

A. Troccoli, Seasonal climate forecasting, Meteorological Applications, vol.25, issue.22, pp.251-268, 2010.
DOI : 10.1002/met.184

C. Vernay, P. Blanc, and S. Pitaval, Characterizing measurements campaigns for an innovative calibration approach of the global horizontal irradiation estimated by HelioClim-3, Renewable Energy, vol.57, pp.339-347, 2013.
DOI : 10.1016/j.renene.2013.01.049

URL : https://hal.archives-ouvertes.fr/hal-00799172

C. Voyant, M. Muselli, C. Paoli, and M. Nivet, Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation, Energy, vol.39, issue.1, pp.341-355, 2012.
DOI : 10.1016/j.energy.2012.01.006

URL : https://hal.archives-ouvertes.fr/hal-00657635

C. Voyant, M. Muselli, C. Paoli, and M. Nivet, Hybrid methodology for hourly global radiation forecasting in Mediterranean area, Renewable Energy, vol.53, pp.1-11, 2013.
DOI : 10.1016/j.renene.2012.10.049

URL : https://hal.archives-ouvertes.fr/hal-00750486

C. Voyant, C. Paoli, M. Muselli, and M. Nivet, Multi-horizon solar radiation forecasting for Mediterranean locations using time series models, Renewable and Sustainable Energy Reviews, vol.28, pp.44-52, 2013.
DOI : 10.1016/j.rser.2013.07.058

URL : https://hal.archives-ouvertes.fr/hal-00846823