G. Giebel, R. Brownsword, G. Kariniotakis, M. Denhard, and C. Draxl, The state of the art in shortterm prediction of wind power -A literature overview, 2011.

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. J. 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

A. Bossavy, R. Girard, and G. Kariniotakis, Forecasting ramps of wind power production with numerical weather prediction ensembles, Wind Energy, vol.12, issue.1, pp.51-63, 2013.
DOI : 10.1002/we.526
URL : https://hal.archives-ouvertes.fr/hal-00682772

C. Gallego, A. Costa, L. Cuerva, B. Landberg, J. Greaves et al., A wavelet-based approach for large wind power ramp characterisation, Wind Energy, vol.29, issue.6, pp.257-278, 2013.
DOI : 10.1002/we.550
URL : http://oa.upm.es/25898/1/INVE_MEM_2013_161457.pdf

M. Petrou and J. Kittler, Optimal edge detectors for ramp edges. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.13, issue.5, pp.483-491, 1991.
DOI : 10.1109/34.134047

D. J. Williams and M. Shah, Edge characterization using normalized edge detector. CVGIP: Graphical Models and Image Processing, pp.311-318, 1993.
DOI : 10.1006/gmip.1993.1021

J. Canny, A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions, issue.86, pp.679-698, 1986.

J. Prewitt, Object enhancement and extraction. Picture Process, pp.75-149, 1970.

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

S. Mallat and S. Zhong, Characterization of signals from multiscale edges. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.14, issue.7, pp.710-732, 1992.
DOI : 10.1109/34.142909
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.5359

C. Ducottet, T. Fournel, and C. Barat, Scale-adaptive detection and local characterization of edges based on wavelet transform, Signal Processing, vol.84, issue.11, pp.2115-2137, 2004.
DOI : 10.1016/j.sigpro.2004.07.003

D. Demigny, On optimal linear filtering for edge detection, IEEE Transactions on Image Processing, vol.11, issue.7, pp.728-737, 2002.
DOI : 10.1109/TIP.2002.800887

O. Laligant, F. Truchetet, and F. Meriaudeau, Regularization Preserving Localization of Close Edges, IEEE Signal Processing Letters, vol.14, issue.3, pp.185-188, 2007.
DOI : 10.1109/LSP.2006.884030
URL : https://hal.archives-ouvertes.fr/hal-00586481

P. Bao, L. Zhang, and X. Wu, Canny edge detection enhancement by scale multiplication. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.27, issue.9, pp.1485-1490, 2005.
DOI : 10.1109/tpami.2005.173
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.6040

J. H. Elder and S. W. Zucker, Local scale control for edge detection and blur estimation. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.20, issue.7, pp.699-716, 1998.
DOI : 10.1109/34.689301
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.4977

Y. H. Wan, D. Jr, and . Bucaneg, Short-Term Power Fluctuations of Large Wind Power Plants, Journal of Solar Energy Engineering, vol.124, issue.4, pp.427-431, 2002.
DOI : 10.1115/1.1507762

]. A. Bossavy, Characterization and probabilistic forecasting of wind power ramps
URL : https://hal.archives-ouvertes.fr/pastel-00803234

. Phd-thesis and . Paristech, Available online at: http://pastel.archivesouvertes .fr/docs, 2012.

H. Bludszuweit, J. A. Dominguez-navarro, and A. Llombart, Statistical analysis of wind power forecast error. Power Systems, IEEE Transactions on, vol.23, issue.3, pp.983-991, 2008.
DOI : 10.1109/tpwrs.2008.922526

P. Pinson, Very-short-term probabilistic forecasting of wind power with generalized logit-normal distributions, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.8, issue.4, pp.555-576, 2012.
DOI : 10.1111/j.1467-9876.2011.01026.x

A. Lau and P. Mcsharry, Approaches for multi-step density forecasts with application to aggregated wind power, The Annals of Applied Statistics, vol.4, issue.3, pp.1311-1341, 2010.
DOI : 10.1214/09-AOAS320
URL : http://arxiv.org/abs/1003.0996

P. G. Leahy and E. J. Mckeogh, Persistence of low wind speed conditions and implications for wind power variability. Wind Energy, p.2012

C. Marzban, The ROC Curve and the Area under It as Performance Measures, Weather and Forecasting, vol.19, issue.6, pp.1106-1114, 2004.
DOI : 10.1175/825.1

T. Fawcett, An introduction to ROC analysis, Pattern Recognition Letters, vol.27, issue.8, pp.861-874, 2006.
DOI : 10.1016/j.patrec.2005.10.010
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.2144

D. J. Hand, Measuring Classifier Performance, Machine Learning, pp.103-123, 2009.
DOI : 10.1201/b11429-12

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

D. Demigny, L. Kessal, and J. Pons, Fast Recursive Implementation of the Gaussian Filter, 11th IFIP International Conference on Very Large Scale Integration, pp.339-346, 2001.
DOI : 10.1007/978-0-387-35597-9_4

G. Blanchet and M. Charbit, Traitement numrique du signal, Hermes, 1998.

T. Lindeberg, Edge detection and ridge detection with automatic scale selection, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.117-154, 1998.
DOI : 10.1109/CVPR.1996.517113
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.4053

T. Lindeberg, Scale-space for discrete signals. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.12, issue.3, pp.234-254, 1990.
DOI : 10.1109/34.49051
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.6267

J. Bigot, Recalage de signaux et analyse de variance fonctionnelle par ondelettes Applications au domaine biomdical Joseph-Fourier-Grenoble 1. [Available online : http://tel.archives-ouvertes.fr, 2003.

J. Babaud, A. P. Witkin, M. Baudin, and R. O. Duda, Uniqueness of the Gaussian kernel for scalespace filtering. Pattern Analysis and Machine Intelligence, IEEE Transactions, issue.1, pp.826-859, 1986.