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

A. Bossavy, R. Girard, and G. Kariniotakis, Forecasting uncertainty related to ramps of wind power production, Proc. of the 2010 European Wind Energy Conference, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00765885

A. Bossavy, R. Girard, and G. Kariniotakis, Forecasting ramps of wind power production with meteorological ensembles, 2011.

J. B. Bremnes, A comparison of a few statistical models for making quantile wind power forecasts, Wind Energy, vol.39, issue.1-2, pp.3-11, 2006.
DOI : 10.1002/we.182

E. Castronuovo and J. Pecaslopes, 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

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

N. Cutler, M. Kay, K. Jacka, and T. S. Nielsen, Detecting, categorizing and forecasting large ramps in wind farm power output using meteorological observations and WPPT, Wind Energy, vol.56, issue.5, pp.453-470, 2007.
DOI : 10.1002/we.235

N. J. Cutler, Characterizing the Uncertainty in Potential Large Rapid Changes in Wind Power Generation, 2009.

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

G. Giebel, G. Kariniotakis, and R. Brownsword, State of the art on short-term wind power prediction, 2003.

G. Gneiting, K. Larson, K. Westrick, M. Genton, and E. Aldrich, Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center, Journal of the American Statistical Association, vol.101, issue.475, pp.968-979, 2006.
DOI : 10.1198/016214506000000456

B. Greaves, J. Collins, J. Parkes, and A. Tindal, Temporal Forecast Uncertainty for Ramp Events, Wind Engineering, vol.22, issue.3, pp.309-319, 2009.
DOI : 10.1260/030952409789685681

J. Juban, N. Siebert, and G. Kariniotakis, Probabilistic Short-term Wind Power Forecasting for the Optimal Management of Wind Generation, 2007 IEEE Lausanne Power Tech, 2007.
DOI : 10.1109/PCT.2007.4538398

URL : https://hal.archives-ouvertes.fr/hal-00222776

M. Lange and U. Focken, Physical Approach to Short-Term Wind Power Prediction, 2005.

J. K. Møller, H. Aa, H. Nielsen, and . Madsen, Time-adaptive quantile regression, Computational Statistics & Data Analysis, vol.52, issue.3, pp.1292-1303, 2008.
DOI : 10.1016/j.csda.2007.06.027

H. Aa, H. Nielsen, T. S. Madsen, and . Nielsen, Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts, Wind Energy, vol.9, issue.12, pp.95-108, 2006.

L. Voulund and J. Tøfting, From wind ensembles to probabilistic information about future wind power production -results from an actual application, Proc. of the IEEE PMAPS 2006 Conference , IEEE Conference Probabilistic Methods Applied to Power Systems, 2006.

. Pinson, . The-safewind, and . Consortium, Catalogue of complex to extreme situations, 2010.

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

P. Pinson and G. Kariniotakis, On-line assessment of prediction risk for wind power production forecasts, Wind Energy, vol.7, issue.2, pp.119-132, 2004.
DOI : 10.1002/we.114

P. Pinson and H. Madsen, Ensemble-based probabilistic forecasting at Horns Rev, Wind Energy, vol.22, issue.2, pp.137-155, 2009.
DOI : 10.1002/we.309

P. Pinson, H. Aa, H. Nielsen, G. Madsen, and . Kariniotakis, Skill forecasting from ensemble predictions of wind power, Applied Energy, vol.86, issue.7-8, pp.1326-1334, 2009.
DOI : 10.1016/j.apenergy.2008.10.009

URL : https://hal.archives-ouvertes.fr/hal-00812349

D. Ziou and S. Tabbone, Edge detection techniques -an overview, International Journal of Pattern Recognition and Image Analysis, vol.8, pp.537-559, 1998.
URL : https://hal.archives-ouvertes.fr/inria-00098446