A. Feijoo, J. Cidras, and J. Dornelas, Wind speed simulation in wind farms for steady-state security assessment of electrical power systems, IEEE Transactions on Energy Conversion, vol.14, issue.4, pp.1582-1588, 1999.
DOI : 10.1109/60.815109

N. Dobigeon and J. Tourneret, Joint segmentation of wind speed and direction using a hierarchical model, Computational Statistics & Data Analysis, vol.51, issue.12, pp.5603-5621, 2007.
DOI : 10.1016/j.csda.2007.04.016
URL : https://hal.archives-ouvertes.fr/hal-00474912

M. Mohandes, S. Rehman, and T. Halawani, A neural networks approach for wind speed prediction, Renewable Energy, vol.13, issue.3, pp.345-354, 1998.
DOI : 10.1016/S0960-1481(98)00001-9

I. Damousis, M. Alexiadis, J. Theocharis, and P. Dokopoulos, A Fuzzy Model for Wind Speed Prediction and Power Generation in Wind Parks Using Spatial Correlation, IEEE Transactions on Energy Conversion, vol.19, issue.2, pp.352-361, 2004.
DOI : 10.1109/TEC.2003.821865

J. Slootweg, S. De-haan, H. Polinder, and W. Kling, General model for representing variable speed wind turbines in power system dynamics simulations, IEEE Transactions on Power Systems, vol.18, issue.1, pp.144-151, 2003.
DOI : 10.1109/TPWRS.2002.807113

D. Tran, B. Sareni, and X. Roboam, Integrated Optimal Design of a Passive Wind Turbine System: An Experimental Validation, IEEE Transactions on Sustainable Energy, vol.1, issue.1, pp.48-56, 2010.
DOI : 10.1109/TSTE.2010.2046685
URL : https://hal.archives-ouvertes.fr/hal-00761920

A. Abdelli, B. Sareni, and X. Roboam, Model simplification and optimization of a passive wind turbine generator, Renewable Energy J, vol.34, pp.2640-2650, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00763133

R. Calif, R. Blonbou, and B. Deshaies, Wind velocity measurements analysis for time scales smaller than 1 hour: application to wind energy forecasting, Proceedings of the 24th AIAA, 2005.

R. Calif, R. Emilion, and T. Soubdhan, Classification of wind speed distributions using a mixture of Dirichlet distributions, Renewable Energy, vol.36, issue.11, pp.3091-3097, 2011.
DOI : 10.1016/j.renene.2011.03.024

X. Roboam, A. Abdelli, and B. Sareni, Optimization of a passive small wind turbine based on mixed Weibull-turbulence statistics of wind, 2008.

K. Sayood, Introduction to data compression, 2012.

P. Joseph and J. Hennessey, Some aspects of wind power statistics, J. Appl. Meteorol. Climatol, vol.16, pp.119-128, 1977.

A. Celik, A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey, Renewable Energy, vol.29, issue.4, pp.593-604, 2003.
DOI : 10.1016/j.renene.2003.07.002

D. Weisser, A wind energy analysis of Grenada: an estimation using the ???Weibull??? density function, Renewable Energy, vol.28, issue.11, pp.1803-1812, 2003.
DOI : 10.1016/S0960-1481(03)00016-8

J. Keller, Simulation of wind with 'K' parameter, Wind Eng, vol.16, pp.307-312, 1992.

J. Carta, P. Ramírez, and S. Velázquez, A review of wind speed probability distributions used in wind energy analysis, Renewable and Sustainable Energy Reviews, vol.13, issue.5, pp.933-955, 2009.
DOI : 10.1016/j.rser.2008.05.005

D. Straroon and R. Stengelz, Stochastic prediction techniques for wind shear hazard assessment, J. Guid. Control Dyn, vol.15, pp.1224-1229, 1990.

C. Nichita, D. Luca, B. Dakyo, and E. Ceanga, Large band simulation of the wind speed for real time wind turbine simulators, IEEE Transactions on Energy Conversion, vol.17, issue.4, pp.523-529, 2002.
DOI : 10.1109/TEC.2002.805216

A. Law and W. Kelton, Simulation modeling and analysis, 1991.

I. Van-der-hoven, POWER SPECTRUM OF HORIZONTAL WIND SPEED IN THE FREQUENCY RANGE FROM 0.0007 TO 900 CYCLES PER HOUR, Journal of Meteorology, vol.14, issue.2, pp.160-164, 1957.
DOI : 10.1175/1520-0469(1957)014<0160:PSOHWS>2.0.CO;2

F. Bianchi, H. Batista, and R. Mantz, Wind turbine control systems: principle, modeling and gain scheduling design, advances in industrial control series, 2010.
DOI : 10.1007/1-84628-493-7

A. Jaafar, B. Sareni, and X. Roboam, Signal synthesis by means of evolutionary algorithms, Inverse Problems in Science and Engineering, vol.4, issue.1, pp.93-104, 2012.
DOI : 10.1007/s12239-008-0012-y
URL : https://hal.archives-ouvertes.fr/hal-00760938

H. Schwefel, Evolution and optimum seeking, 1995.

B. Sareni and L. Krähenbühl, Fitness sharing and niching methods revisited, IEEE Transactions on Evolutionary Computation, vol.2, issue.3, pp.97-106, 1998.
DOI : 10.1109/4235.735432
URL : https://hal.archives-ouvertes.fr/hal-00359799

A. Petrowski, A clearing procedure as a niching method for genetic algorithms, Proceedings of IEEE International Conference on Evolutionary Computation ICEC-96, 1996.
DOI : 10.1109/ICEC.1996.542703

L. Eshelman and J. Schaffer, Real-Coded Genetic Algorithms and Interval-Schemata, Foundations of genetic algorithms II, pp.187-202, 1993.
DOI : 10.1016/B978-0-08-094832-4.50018-0

S. Frandsen and M. Thogersen, Integrated fatigue loading for wind turbines in wind farms by combining ambient turbulence and wakes, J. Wind Eng, vol.23, pp.327-339, 1999.

M. Belouda, J. Belhadj, B. Sareni, and X. Roboam, Battery sizing for a stand alone passive wind system using statistical techniques, Eighth International Multi-Conference on Systems, Signals & Devices, 2011.
DOI : 10.1109/SSD.2011.5767373

M. Belouda, J. Belhadj, B. Sareni, X. Roboam, and A. Jaafar, Synthesis of a compact wind profile using evolutionary algorithms for wind turbine system with storage. 16th IEEE Mediterranean Electrotechnical Conference, 2012.

A. Bagul, Z. Salameh, and B. Borowy, Sizing of a stand-alone hybrid wind-photovoltaic system using a three-event probability density approximation, Solar Energy, vol.56, issue.4, pp.323-335, 1996.
DOI : 10.1016/0038-092X(95)00116-9