L. Aburto and R. Weber, Improved supply chain management based on hybrid demand forecasts, Applied Soft Computing, vol.7, issue.1, pp.136-144, 2007.
DOI : 10.1016/j.asoc.2005.06.001

J. Angarita and J. Usaola, Combining hydro-generation and wind energy biddings and operation on spot electricity markets, Electric Power Systems Research, vol.77, pp.5-6393, 2007.

M. Armstrong, Comparison of MM5 forecast shortwave radiation with data obtained from the Atmospheric Radiation Measurement Program, Master of Science Scholarly Paper, 2000.

J. Aznarte, R. Girard, B. Espinar, and G. Kariniotakis, Short-term forecasting and uncertainty management of solar power production, IEEE Transactions on Energy Conversion, 2010.

J. L. Aznarte and M. , Modelling time series through fuzzy rule based models: a statistical approach, 2008.

P. Bacher, H. Madsen, and H. A. Nielsen, Online short-term solar power forecasting, Solar Energy, vol.83, issue.10, pp.1772-1783, 2009.
DOI : 10.1016/j.solener.2009.05.016
URL : http://orbit.dtu.dk/en/publications/online-shortterm-solar-power-forecasting(503fa350-1458-4076-9011-f57f75ee4d62).html

H. Beyer, C. Costanzo, D. Heinemann, and C. Reise, Short range forecast of PV energy production using satellite image analysis, 12th European Photovoltaic Solar Energy Conference, pp.1718-1721, 1994.

T. Bien and H. Musikowski, Forecasting photovoltaic energy using a fourier series based method, 23rd European Photovoltaic Solar Energy Conference, pp.3088-3091, 2008.

S. Bofinger and G. Heilscher, Solar electricity forecast -approaches and first results, 21th PV Conference, pp.4-8, 2006.

B. Brinkworth, Autocorrelation and stochastic modelling of insolation sequences, Solar Energy, vol.19, issue.4, pp.343-347, 1977.
DOI : 10.1016/0038-092X(77)90004-4

J. Cao and S. Cao, Forecast of solar irradiance using recurrent neural networks combined with wavelet analysis, Applied Thermal Engineering, vol.25, issue.2-3, pp.161-172, 2005.
DOI : 10.1016/j.applthermaleng.2004.06.017

J. Cao and S. Cao, Study of forecasting solar irradiance using neural networks with preprocessing sambple data by wavelet analysis. Energy, pp.3435-3445, 2006.

E. Castronuovo and J. Lopes, On the Optimization of the Daily Operation of a Wind-Hydro Power Plant, IEEE Transactions on Power Systems, vol.19, issue.3, pp.1599-1606, 2004.
DOI : 10.1109/TPWRS.2004.831707

B. Chowdhury and S. Rahman, Forecasting sub-hourly solar irradiance for prediction of photovoltaic output, IEEE Phtovoltaic Specialist Conference, pp.171-176, 1987.

A. Costa, A. Crespo, J. Navarro, G. Lizcano, H. Madsen et al., A review on the young history of the wind power short-term prediction, Renewable and Sustainable Energy Reviews, vol.12, issue.6, pp.1725-1744, 2008.
DOI : 10.1016/j.rser.2007.01.015

R. Doherty and M. O. Malley, A New Approach to Quantify Reserve Demand in Systems With Significant Installed Wind Capacity, IEEE Transactions on Power Systems, vol.20, issue.2, pp.587-595, 2005.
DOI : 10.1109/TPWRS.2005.846206

H. K. Elminir, F. F. Areed, and T. S. Elsayed, Estimation of solar radiation components incident on Helwan site using neural networks, Solar Energy, vol.79, issue.3, pp.270-279, 2005.
DOI : 10.1016/j.solener.2004.11.006

R. B. Giebel and G. Kariniotakis, The state-of-the-art in short-term prediction of wind power, European Commission (Project ANEMOS, Development of a Next Generation Wind Resource Forecasting System for the Large-Scale Integration of Onshore and Offshore Wind Farms), 2003.
URL : https://hal.archives-ouvertes.fr/hal-00529986

C. , G. Guerrero, and B. Estrada, Verificación de predicciones a corto plazo de energía solar mediante datos de piranómetros y observaciones de satélite, XIX Jornadas, 2006.

H. Glahn and D. Lowry, The Use of Model Output Statistics (MOS) in Objective Weather Forecasting, Journal of Applied Meteorology, vol.11, issue.8, pp.1203-1211, 1972.
DOI : 10.1175/1520-0450(1972)011<1203:TUOMOS>2.0.CO;2

. Globaldata, Global solar photovoltaic market analysis and forecasts to 2020, 2009.

A. Hammer, D. Heinemann, C. Hoyer, and E. Lorenz, Satellite based short-term forecasting of solar irradiance - Comparison of methods and error analysis, Proceedings of the EUMETSAT Meteorological Satellite Data Users' Conference, pp.1-5, 2001.

A. Hammer, D. Heinemann, C. Hoyer-klick, E. Lorenz, B. Mayer et al., Remote sensing and atmospheric physics for an efficient use of renewable energies. Status Report, 2004.

D. Heinemann, E. Lorenz, and M. Girodo, Forecasting of solar radiation, Solar Energy Resource Management for Electricity Generation from Local Level to Global Scale, 2006.

M. Hibon and T. Evgeniou, To combine or not to combine: selecting among forecasts and their combinations, International Journal of Forecasting, vol.21, issue.1, pp.15-24, 2005.
DOI : 10.1016/j.ijforecast.2004.05.002

J. Jensenius and G. Cotton, The development and testing of automated solar energy forecasts based on the Model Output Statistics (MOS) technique. In 1st Workshop on terrestrial solar resource forecasting and on use of satellites for terrestrial solar resource assessment, 1981.

A. Kaifel and P. Jesemann, An adaptive filtering algorithm for very short-range forecast of cloudiness applied to Meteosat data, 9th Metosat Users Meeting, 1992.

E. Lorenz, D. Heinemann, H. Wickramarathne, H. Beyer, and S. Bofinger, Forecast of ensemble power production by grid-connected PV systems, 22nd European Photovoltaic Solar Energy Conference, pp.3-7, 2007.

E. Lorenz, J. Hurka, G. Karampela, D. Heinemann, H. Beyer et al., Qualified forecast of ensemble power production by spatially dispersed grid-connected PV systems, 23rd European Photovoltaic Solar Energy Conference, pp.3285-3291, 2008.

E. Lorenz, J. Remund, S. Müller, W. Traunmüller, G. Steinmaurer et al., Benchmarking of different apporaches to forecast solar irradiance, 24th European Photovoltaic Solar Energy Conference, pp.21-25, 2009.

D. Mayer, L. Wald, Y. Poissant, and S. Pelland, Performance prediction of grid-connected photovoltaic systems using remote sensing, International Energy Agency -Photovoltaic Power Systems Programme (IEA -PVPS Task 2), 2008.
URL : https://hal.archives-ouvertes.fr/hal-00466825

A. Mellit, M. Benghanem, and S. A. Kalogirou, An adaptive wavelet-network model for forecasting daily total solar-radiation, Applied Energy, vol.83, issue.7, pp.705-722, 2006.
DOI : 10.1016/j.apenergy.2005.06.003

M. Nelson, T. Hills, W. Remus, and M. O. Connor, Time series forecasting using neural networks: should the data be deseasonalized first?, Journal of Forecasting, vol.57, issue.5, pp.359-367, 1999.
DOI : 10.1002/(SICI)1099-131X(199909)18:5<359::AID-FOR746>3.0.CO;2-P

P. Pinson, C. Chevallier, and G. Kariniotakis, Trading Wind Generation From Short-Term Probabilistic Forecasts of Wind Power, IEEE Transactions on Power Systems, vol.22, issue.3, pp.1148-1156, 2007.
DOI : 10.1109/TPWRS.2007.901117
URL : https://hal.archives-ouvertes.fr/hal-00617685

V. Puri, Estimation of half-hour solar radiation values from hourly values, Solar Energy, vol.21, issue.5, pp.409-414, 1978.
DOI : 10.1016/0038-092X(78)90173-1

G. Reikard, Predicting solar radiation at high resolutions: A comparison of time series forecasts, Solar Energy, vol.83, issue.3, pp.342-349, 2009.
DOI : 10.1016/j.solener.2008.08.007

J. Remund, R. Perez, and E. Lorenz, Comparison of solar radiation forecats for the USA, 23rd European Photovoltaic Solar Energy Conference, pp.3141-3143, 2008.

J. Remund, C. Schilter, S. Dierer, S. Stettler, and P. Toggweiler, Operational forecast PV production, 23rd European Photovoltaic Solar Energy Conference, pp.3138-3140, 2008.

P. Ritzenhoff, Strahlungssimulation und vorhersage der strahlungsenergie der sonne zur regelung solarer energieversorgungssysteme, Forschungszentrum Jülich, 1995.

M. Santamouris, G. Mihalakakou, B. Psiloglou, G. Eftaxias, and D. N. Asimmakopoulos, Modeling the Global Solar Radiation on the Earth???s Surface Using Atmospheric Deterministic and Intelligent Data-Driven Techniques, Journal of Climate, vol.12, issue.10, pp.3105-3116, 1999.
DOI : 10.1175/1520-0442(1999)012<3105:MTGSRO>2.0.CO;2

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

H. Suzuki, Y. Watanabe, and S. Wakao, Short-term output forecast using just-in-time modeling, 23rd European Photovoltaic Solar Energy Conference, pp.3406-3408, 2008.

R. J. Zamora, S. Solomon, E. G. Dutton, J. W. Bao, M. Trainer et al., Comparing MM5 radiative fluxes with observations gathered during the 1995 and 1999 Nashville Sourthern oxidant studies, Journal of Geophysical Research D: Atmospheres, vol.108, pp.9-10, 2003.

G. P. Zhang, Time series forecasting using a hybrid ARIMA and neural network model, Neurocomputing, vol.50, pp.159-175, 2003.
DOI : 10.1016/S0925-2312(01)00702-0

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