Z. Hameed, Y. S. Hong, Y. M. Cho, S. H. Ahn, and C. K. Song, Condition monitoring and fault detection of wind turbines and related algorithms: A review, Renewable and Sustainable Energy Reviews, vol.13, issue.1, pp.1-39, 2009.
DOI : 10.1016/j.rser.2007.05.008

F. P. García-márquez, A. M. Tobias, J. M. Pérez, and M. Papaelias, Condition monitoring of wind turbines: Techniques and methods, Renewable Energy, vol.46, pp.169-178, 2012.
DOI : 10.1016/j.renene.2012.03.003

A. Zaher, S. D. Mcarthur, D. G. Infield, and Y. Patel, Online wind turbine fault detection through automated SCADA data analysis, Wind Energy, vol.10, issue.1, pp.574-593, 2009.
DOI : 10.1002/we.319

A. Kusiak and W. Li, The prediction and diagnosis of wind turbine faults, Renewable Energy, vol.36, issue.1, pp.16-23, 2011.
DOI : 10.1016/j.renene.2010.05.014

V. Thapar, G. Agnihotri, and V. K. Sethi, Critical analysis of methods for mathematical modelling of wind turbines, Renewable Energy, vol.36, issue.11, pp.3166-3177, 2011.
DOI : 10.1016/j.renene.2011.03.016

G. N. Kariniotakis, G. S. Stavrakakis, and E. F. Nogaret, Wind power forecasting using advanced neural networks models, IEEE Transactions on Energy Conversion, vol.11, issue.4, pp.762-767, 1996.
DOI : 10.1109/60.556376
URL : https://hal.archives-ouvertes.fr/hal-01441822

S. Li, D. C. Wunsch, E. A. Hair, and M. G. Giesselmann, Using neural networks to estimate wind turbine power generation, IEEE Transactions on Energy Conversion, vol.16, issue.3, pp.276-282, 2001.

S. Gill, B. Stephen, and S. Galloway, Wind Turbine Condition Assessment Through Power Curve Copula Modeling, IEEE Transactions on Sustainable Energy, vol.3, issue.1, pp.94-101, 2012.
DOI : 10.1109/TSTE.2011.2167164

A. Kusiak, H. Zheng, and Z. Song, On-line monitoring of power curves, Renewable Energy, vol.34, issue.6, pp.1487-1493, 2009.
DOI : 10.1016/j.renene.2008.10.022

A. Marvuglia and A. Messineo, Monitoring of wind farms??? power curves using machine learning techniques, Applied Energy, vol.98, issue.0, pp.574-583, 2012.
DOI : 10.1016/j.apenergy.2012.04.037

A. Kusiak and A. Verma, Monitoring Wind Farms With Performance Curves, IEEE Transactions on Sustainable Energy, vol.4, issue.1, pp.192-199, 1996.
DOI : 10.1109/TSTE.2012.2212470

J. A. Dahlberg, Assessment of the lillgrund windfarm: Power performance, wake effects, Vatenfall A. B, 2009.

I. T. Nabney, Algorithms for Pattern Recognition, 2001.

C. E. Rasmussen and C. K. Williams, Gaussian Processes in Machine Learning, 2006.
DOI : 10.1162/089976602317250933