B. Rte, Prévisionnel de l'équilibre offre-demande d'électricité en France, 2015.

, IEEE Standard for Calculating the Current-Temperature Relationship of Bare Overhead Conductors, IEEE Power Engineering Society, 1993.

, Thermal Behaviour of Overhead Conductors, 2002.

J. Heckenbergerova, P. Musilek, and K. Filimonenkov, Assessment of seasonal static thermal ratings of overhead transmission conductors, IEEE Power and Energy Society General Meeting, pp.1-8, 2011.

E. Cloet, J. Lilien, and P. Ferrières, Experiences of the Belgian and French TSOs using the "Ampacimon" real-time dynamic rating system, 2010.

R. G. Olsen and K. S. Edwards, A new method for real-time monitoring of high-voltage transmissionline conductor sag, IEEE Trans. Power Deliv, vol.17, issue.4, pp.1142-1152, 2002.

C. J. Wallnerström, Y. Huang, and L. Söder, Impact from dynamic line rating on wind power integration, IEEE Trans. Smart Grid, vol.6, issue.1, pp.343-350, 2015.

D. M. Greenwood and P. C. Taylor, Investigating the impact of real-time thermal ratings on power network reliability, IEEE Trans. Power Syst, vol.29, issue.5, pp.2460-2468, 2014.

J. Teh, Prospects of Using the Dynamic Thermal Rating System for Reliable Electrical Networks: A Review, IEEE Access, vol.6, pp.26765-26778, 2018.

A. Michiorri, Forecasting for dynamic line rating, Renew. Sustain. Energy Rev, vol.52, pp.1713-1730, 2015.
DOI : 10.1016/j.rser.2015.07.134

URL : https://hal.archives-ouvertes.fr/hal-01199238

S. Uski, Estimation method for dynamic line rating potential and economic benefits, Int. J. Electr. Power Energy Syst, vol.65, pp.76-82, 2015.
DOI : 10.1016/j.ijepes.2014.09.034

D. A. Douglas, Weather-dependant versus static thermal line rating, IEEE Trans Power Deliv, vol.3, issue.2, pp.742-753, 1988.

S. D. Foss and R. A. Maraio, Dynamic line rating in the operating environment, IEEE Trans. Power Deliv, vol.5, issue.2, pp.1095-1105, 1990.

D. Kim, J. Cho, H. Lee, H. Jung, and J. Kim, Prediction of dynamic line rating based on assessment risk by time series weather model, Probabilistic Methods Applied to Power Systems, pp.1-7, 2006.

K. Wang, G. Sheng, and X. Jiang, Risk assessment of transmission dynamic line rating based on monte carlo, Power Engineering and Automation Conference (PEAM), vol.2, pp.398-402, 2011.

I. Albizu, E. Fernandez, A. J. Mazon, K. J. Sagastabeitia, M. T. Bedialauneta et al., Overhead line rating forecasting for the integration of wind power in electricity markets, 2015 International Conference on, pp.382-388, 2015.

, Twenties European Project, 'Final report on NETFLEX demo, 2013.

A. Michiorri and P. C. Taylor, Forecasting real-time ratings for electricity distribution networks using weather forecast data, CIRED 2009. 20th International Conference and Exhibition on, vol.1, pp.1-4, 2009.
URL : https://hal.archives-ouvertes.fr/hal-01848958

T. Ringelband, P. Schäfer, and A. Moser, Probabilistic ampacity forecasting for overhead lines using weather forecast ensembles, Electr. Eng, vol.95, issue.2, pp.99-107, 2013.

J. Aznarte and N. Siebert, Dynamic Line Rating Using Numerical Weather Predictions and Machine Learning: a Case Study
URL : https://hal.archives-ouvertes.fr/hal-01331743

J. Black, J. Colandairaj, S. Connor, and B. O'sullivan, Equipment and methodology for the planning and implementation of dynamic line ratings on overhead transmission circuits, Proceedings of the International Symposium, pp.1-6, 2010.

A. Mclaughlin, M. Alshamali, J. Colandairaj, and S. Connor, Application of dynamic line rating to defer transmission network reinforcement due to wind generation', in Universities' Power Engineering Conference (UPEC), Proceedings of, pp.1-6, 2011.

J. Fu, D. J. Morrow, and S. M. Abdelkader, Modelling and prediction techniques for dynamic overhead line rating, IEEE Power and Energy Society General Meeting, pp.1-7, 2012.

D. J. Morrow, J. Fu, and S. M. Abdelkader, Experimentally validated partial least squares model for dynamic line rating, IET Renew. Power Gener, vol.8, issue.3, pp.260-268, 2014.

J. Fu, S. Abbott, B. Fox, D. J. Morrow, and S. Abdelkader, Wind cooling effect on dynamic overhead line ratings, Universities Power Engineering Conference (UPEC), pp.1-6, 2010.

F. Fan, K. Bell, and D. Infield, Probabilistic Real-Time Thermal Rating Forecasting for Overhead Lines by Conditionally Heteroscedastic Auto-Regressive Models, IEEE Trans. Power Deliv, vol.32, issue.4, pp.1881-1890, 2017.

J. Zhan, C. Y. Chung, and E. Demeter, Time Series Modeling for Dynamic Thermal Rating of Overhead Lines, IEEE Trans. Power Syst, vol.32, issue.3, pp.2172-2182, 2017.

M. A. Bucher, M. Vrakopoulou, and G. Andersson, Probabilistic N?1 security assessment incorporating dynamic line ratings, IEEE Power Energy Society General Meeting, pp.1-5, 2013.

R. Dupin, A. Michiorri, and G. Kariniotakis, Dynamic line rating day-ahead forecasts -cost benefit based selection of the optimal quantile, CIRED 2016 workshop -Electrical networks for society and people, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01398440

R. Koenker and G. Bassett, Regression quantiles, Econom. J. Econom. Soc, pp.33-50, 1978.

C. M. Bishop, Mixture density networks, 1994.

J. Carreau and M. Vrac, Stochastic downscaling of precipitation with neural network conditional mixture models, Water Resour. Res, vol.47, issue.10, 2011.

D. W. Scott, Multivariate density estimation: theory, practice, and visualization, 2015.

N. Meinshausen, Quantile regression forests, J. Mach. Learn. Res, vol.7, pp.983-999, 2006.

I. Cotton and J. Teh, Critical span identification model for dynamic thermal rating system placement, IET Gener. Transm. Distrib, vol.9, issue.16, pp.2644-2652, 2015.

M. Matus, Identification of Critical Spans for Monitoring Systems in Dynamic Thermal Rating, IEEE Trans. Power Deliv, vol.27, issue.2, pp.1002-1009, 2012.

J. W. Jerrell, W. Z. Black, and T. J. Parker, Critical span analysis of overhead conductors, IEEE Trans. Power Deliv, vol.3, issue.4, pp.1942-1950, 1988.

J. Fu, D. J. Morrow, S. Abdelkader, and B. Fox, Impact of dynamic line rating on power systems, Universities' Power Engineering Conference (UPEC), Proceedings, pp.1-5, 2011.

H. Wan, J. D. Mccalley, and V. Vittal, Increasing thermal rating by risk analysis, IEEE Trans. Power Syst, vol.14, issue.3, pp.815-828, 1999.

C. R. Bayliss and B. J. Hardy, Transmission and distribution electrical engineering, 2012.

V. T. Morgan, Effect of elevated temperature operation on the tensile strength of overhead conductors, IEEE Trans. Power Deliv, vol.11, issue.1, pp.345-352, 1996.

V. Morgan, The Loss of Tensile Strength of Hard-Drawn Conductors by Annealing in Servicec, IEEE Trans. Power Appar. Syst, issue.3, pp.700-709, 1979.

D. Douglass and F. Thrash, Sag and Tension of Conductor', in Electric Power Generation, Transmission, and Distribution, vol.20124365, pp.1-42, 2012.