R. Baïle, Analyse et modélisation multifractales de vitesses de vent. Application à la prévision de la ressource éolienne, Thèse, 2010.

R. Baïle, J. Muzy, and P. Poggi, Short-term forecasting of surface layer wind speed using a continuous random cascade model, Wind Energy, vol.49, issue.6, pp.719-734, 2011.
DOI : 10.1002/we.452

M. A. Behrang, E. Assareh, A. Ghanbarzadeh, and A. R. Noghrehabadi, The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data, Solar Energy, vol.84, issue.8, pp.1468-1480, 2010.
DOI : 10.1016/j.solener.2010.05.009

P. Cartier and Y. Perrin, Integration over finite sets, Nonstandard Analysis in Practice, pp.195-204, 1995.
DOI : 10.1007/978-3-642-57758-1_9

S. F. Crone, Stepwise Selection of Artificial Neural Network Models for Time Series Prediction, Journal of Intelligent Systems, vol.14, issue.2-3, pp.99-122, 2005.
DOI : 10.1515/JISYS.2005.14.2-3.99

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

C. Duchon and R. Hale, Time Series Analysis in Meteorology and Climatology: An Introduction, 2012.
DOI : 10.1002/9781119953104

M. Fliess, Analyse non standard du bruit, Comptes Rendus Mathematique, vol.342, issue.10, pp.797-802, 2006.
DOI : 10.1016/j.crma.2006.02.037

URL : https://hal.archives-ouvertes.fr/inria-00001134

M. Fliess and C. Join, A mathematical proof of the existence of trends in financial time series, Systems Theory: Modeling, Analysis and Control, pp.43-62, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00352834

M. Fliess and C. Join, Model-free control, International Journal of Control, vol.7, issue.4, pp.2228-2252, 2013.
DOI : 10.1016/j.conengprac.2009.03.005

URL : https://hal.archives-ouvertes.fr/hal-00828135

M. Fliess and C. Join, Towards a new viewpoint on causality for time series, ESAIM: Proceedings and Surveys, vol.49
DOI : 10.1051/proc/201549004

URL : https://hal.archives-ouvertes.fr/hal-00991942

M. Fliess, C. Join, and F. Hatt, A-t-on vraiment besoin d'une approche probabiliste en ingénierie financière?, Proc. Conf. Médit. Ingénierie Sûre Systèmes Complexes, 2011.

M. Fliess, C. Join, and M. Mboup, Algebraic change-point detection, Applicable Algebra in Engineering, Communication and Computing, vol.83, issue.2, pp.131-143, 2010.
DOI : 10.1007/s00200-010-0119-z

URL : https://hal.archives-ouvertes.fr/inria-00439226

M. Fliess, C. Join, H. Sira-ramírez, M. Fliess, and H. Sira-ramírez, Non-linear estimation is easy, Closed-Loop Parametric Identification for Continuous-Time Linear Systems via New Algebraic Techniques, pp.12-27, 2008.
DOI : 10.1504/IJMIC.2008.020996

URL : https://hal.archives-ouvertes.fr/inria-00158855

C. Gourieroux and A. Monfort, English translation: Time Series and Dynamic Models, Séries temporelles et modèles dynamiques Economica, 1995.

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

C. Join, C. Voyant, M. Fliess, M. Muselli, M. Nivet et al., Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study, 3rd International Symposium on Environmental Friendly Energies and Applications (EFEA)
DOI : 10.1109/EFEA.2014.7059971

URL : https://hal.archives-ouvertes.fr/hal-01068569

S. Kalogirou, Artificial neural networks in renewable energy systems applications: a review, Renewable and Sustainable Energy Reviews, vol.5, issue.4, pp.373-401, 2001.
DOI : 10.1016/S1364-0321(01)00006-5

F. Lafont, J. Belmat, N. Pessel, and M. Fliess, A model-free control strategy for an experimental greenhouse with an application to fault accommodation, Computers and Electronics in Agriculture, vol.110, pp.139-149, 2015.
DOI : 10.1016/j.compag.2014.11.008

URL : https://hal.archives-ouvertes.fr/hal-01081757

C. Lobry and T. Sari, Non-standard analysis and representation of reality, International Journal of Control, vol.1249, issue.3, pp.519-536, 2008.
DOI : 10.1007/978-3-211-49905-4

M. Mboup, C. Join, and M. Fliess, Numerical differentiation with annihilators in noisy environment, Numerical Algorithms, vol.14, issue.12, pp.439-467, 2009.
DOI : 10.1007/s11075-008-9236-1

URL : https://hal.archives-ouvertes.fr/inria-00319240

A. Mellit and S. Kalogirou, Artificial intelligence techniques for photovoltaic applications: A review, Progress in Energy and Combustion Science, vol.34, issue.5, pp.574-632, 2008.
DOI : 10.1016/j.pecs.2008.01.001

K. Methaprayoon, W. Lee-;-rasmiddatta, S. Liao, J. R. Ross, and R. J. , Multistage Artificial Neural Network Short-Term Load Forecasting Engine With Front-End Weather Forecast, IEEE Transactions on Industry Applications, vol.43, issue.6, pp.1410-416, 2007.
DOI : 10.1109/TIA.2007.908190

V. Meuriot, Une histoire des concepts des séries temporelles, 2012.

C. Monteiro, R. Bessa, V. Miranda, A. Botterud, J. Wang et al., Wind power forecasting: state-of-the-art, Tech. Rep, 2009.

F. Oldewurtel, A. Parisio, C. N. Jones, D. Gyalistras, M. Gwerder et al., Use of model predictive control and weather forecasts for energy efficient building climate control, Energy and Buildings, vol.45, pp.15-27, 2012.
DOI : 10.1016/j.enbuild.2011.09.022

C. Paoli, C. Voyant, M. Muselli, and M. Nivet, Forecasting of preprocessed daily solar radiation time series using neural networks, Solar Energy, vol.84, issue.12, pp.2146-2160, 2010.
DOI : 10.1016/j.solener.2010.08.011

URL : https://hal.archives-ouvertes.fr/hal-00537178

H. Sira-ramírez, C. García-rodríguez, J. Cortés-romero, and A. Luviano-juárez, Algebraic Identification and Estimation Methods in Feedback Control Systems, 2014.
DOI : 10.1002/9781118730591

C. Voyant, Prédiction de séries temporelles de rayonnement solaire global et de production d'énergie photovoltaïque à partir de réseaux de neurones artificiels, Thèse, 2011.

C. Voyant, M. Muselli, C. Paoli, and M. Nivet, Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation, Energy, vol.36, issue.1, pp.348-359, 2011.
DOI : 10.1016/j.energy.2010.10.032

URL : https://hal.archives-ouvertes.fr/hal-00556471

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

C. Voyant, W. Tamas, C. Paoli, A. Balu, M. Muselli et al., Time series modeling with pruned multi-layer perceptron and 2-stage damped least-squares method, Journal of Physics: Conference Series, vol.490, p.12040, 2014.
DOI : 10.1088/1742-6596/490/1/012040

URL : https://hal.archives-ouvertes.fr/hal-00850687

T. T. Warner, Numerical Weather and Climate Prediction, 2010.
DOI : 10.1017/CBO9780511763243

V. M. Zavala, E. M. Constantinescu, T. Krause, and M. Anitescu, On-line economic optimization of energy systems using weather forecast information, Journal of Process Control, vol.19, issue.10, pp.1725-1736, 2009.
DOI : 10.1016/j.jprocont.2009.07.004