A. Michiorri, H. Nguyen, S. Alessandrini, J. B. Bremnes, S. Dierer et al., Forecasting for dynamic line rating, Renewable and Sustainable Energy Reviews, vol.52, pp.1713-1730, 2015.
DOI : 10.1016/j.rser.2015.07.134
URL : https://hal.archives-ouvertes.fr/hal-01199238

M. Khaki, P. Musilek, J. Heckenbergerova, D. Koval, L. Huang et al., Impact From Dynamic Line Rating on Wind Power Integration Smart GridInvestigating the impact of real-time thermal ratings on power network reliability Power SystemsProbabilistic ampacity forecasting for overhead lines using weather forecast ensemblesProbabilistic forecasting of dynamic line rating for over-head transmission linesDynamic line rating and ampacity forecasting as the keys to optimise power line assets with the integration of res. The European project Twenties Demonstration inside Central Western EuropeFinal report on NETFLEX DemoTrading wind generation from short-term probabilistic forecasts of wind powerQuantile Regression Forest, Electric Power and Energy Conference Power & Energy Society General Meeting Electricity Distribution 22nd International Conference and Exhibition onPower exchange spot market trading in Europe: theoretical considerations and empirical evidence OSCOGEN (Optimisation of Cogeneration Systems in a Competitive Market Environment)-Project Deliverable, pp.1-6, 2002.