, Liste des publications
« Dynamic Line Rating Forecasting & Evaluation », EWEA Technology Workshop, Wind Power Forecasting, 2015. ,
Dynamic Line Rating Day-Ahead Forecasts -Cost Benefit Based Selection of the Optimal Quantile, CIRED workshop, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01398440
« Dynamic Line Rating Forecasting, Renewable Energy Forecasting : From Models to Applications. chapter, vol.13, pp.325-339, 2017. ,
Understanding the Benefits of Dynamic Line Rating under Multiple Sources of Uncertainty, IEEE Trans. Power Syst ,
« Optimal Dynamic Line Rating Forecasts Selection Based on Ampacity Probabilistic Forecasting and Network Operators' Risk Aversion ». Submitted for publication at IEEE Transactions on Power Systems, Under review ,
Cavalcantes « Dynamic Line Rating Forecasts -Advanced Modelling of Extreme Quantiles and Impact on Forecast Value, preparation, target: IEEE Transactions on power systems ,
« Overhead lines Dynamic Line Rating based on Probabilistic Day-Ahead Forecasting and Risk Assessment, International Journal of Electrical Power and Energy Systems, Under review ,
, Prévisions du Dynamic Line Rating et Impact sur la Gestion du Réseau Electrique
, ENTSO-E at a Glance, p.12, 2018.
, Les interconnexions électriques et gazières en France -Un outil au service de la construction d'un marché européen intégré, 2016.
, Map, p.2, 2018.
Qualité de l'électricité -Réseaux publics d'électricité -Réseaux, CRE ,
, electricite/qualite-de-l-electricite, p.15, 2017.
Réseaux d'interconnexion et de transport: réglages et stabilité, Tech. Ing. Génie Électr, vol.8, issue.D4092, 2005. ,
, Approvisionnement électrique : l'Europe sous tension (rapport), p.15, 2017.
Lignes aériennes: Présentation et calcul des lignes, Tech. Ing. Génie Électr, vol.8, 2000. ,
, European statistics, p.14, 2016.
, , p.14, 2017.
, Available: /energy/en/topics/energy-strategy-and-energy-union/2030-energy-strategy, p.14, 2017.
Analysis of the options to reduce the integration costs of renewable generation in the distribution networks. Part 1: Impact of PV development in France and global analysis of considered alternatives to reinforcement, 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013, pp.1-4, 2013. ,
, Echanges d'électricité aux frontières : utilisation et gestion des interconnexions en 2012, 2013.
ActuEnvironnement, p.24, 2017. ,
Novel architectures and operation modes of distribution network to increase DG integration, IEEE PES General Meeting, pp.1-6, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00514478
Angle constraint active management of distribution networks with wind power, 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), pp.1-5, 2010. ,
Practical Concepts in Capability and Performance of Transmission Lines, Trans. Am. Inst. Electr. Eng. Part III Power Appar. Syst, vol.72, issue.2, 1953. ,
Réseaux d'interconnexion et de transport: fonctionnement, 2005. ,
, Performance Equations and Parameters of Transmission Lines -ppt video online download, p.22, 2017.
Applicability of Dynamic Thermal Line Rating for Long Lines, IEEE Trans. Power Deliv, issue.99, pp.1-1, 2017. ,
Assessment of underground cable ratings based on distributed temperature sensing, IEEE Trans. Power Deliv, vol.21, issue.4, pp.1763-1769, 2006. ,
Guide for selection of weather parameters for bare overhead conductor ratings, CIGRE WG B, vol.2, 2006. ,
Determination of thermal line ratings from a probabilistic approach, 1991 Third International Conference on Probabilistic Methods Applied to Electric Power Systems, pp.180-184, 1991. ,
Forecast ratio and security analysis of rating forecasting methods in an overhead line, IET Gener. Transm. Distrib, vol.11, issue.6, pp.1598-1604, 2017. ,
Impact of Dynamic Line Rating on Power Systems, Universities' Power Engineering Conference (UPEC), Proceedings, pp.1-5, 2011. ,
, IEEE Standard for Calculating the Current-Temperature Relationship of Bare Overhead Conductors, pp.1-72, 2013.
Thermal Behaviour of Overhead Conductors, vol.12, 2002. ,
Impact of dynamic line rating on power systems, Universities' Power Engineering Conference (UPEC), Proceedings, pp.1-5, 2011. ,
A new thermal rating approach: The real time thermal rating system for strategic overhead conductor transmission lines -Part I: General description and justification of the real time thermal rating system, IEEE Trans. Power Appar. Syst, vol.96, issue.3, pp.803-809, 1977. ,
, Technologies for Transmission System
, Dynamic Line Rating for overhead lines -V6, 2015.
, , p.24, 2017.
Use of on-line tension monitoring for real-time thermal ratings, ice loads and other environmental effects, CIGRÉ Session, pp.22-102, 1998. ,
Finding'hidden capacity'in transmission lines, Transm. Distrib. World, vol.54, issue.9, pp.30-30, 2002. ,
Microsystem array for live high voltage lines monitoring, 2006. ,
Experiences of the Belgian and French TSOs using the 'Ampacimon' real-time dynamic rating system, Conférence Internationale des grands réseaux électriques à haute tension, 2010. ,
Dynamic line ratings deployment on the orkney smart grid, CIRED, 2011. ,
Review of dynamic line rating systems for wind power integration, Renew. Sustain. Energy Rev, vol.53, pp.80-92, 2016. ,
Comparison between IEEE and CIGRE ampacity standards, IEEE Trans. Power Deliv, vol.14, issue.4, pp.1555-1559, 1999. ,
Precipitation-based conductor cooling model for dynamic thermal rating systems, Electrical Power & Energy Conference (EPEC), pp.1-7, 2009. ,
Modelling precipitation cooling of overhead conductors, Electr. Power Syst. Res, vol.81, issue.12, pp.2147-2154, 2011. ,
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Identification of Critical Spans for Monitoring Systems in Dynamic Thermal Rating, IEEE Trans. Power Deliv, vol.27, issue.2, pp.1002-1009, 2012. ,
Estimation method for dynamic line rating potential and economic benefits, Int. J. Electr. Power Energy Syst, vol.65, pp.76-82, 2015. ,
Dynamic line rating forecastability for conservative day-ahead line rating values, IECON 2015 -41st Annual Conference of the IEEE Industrial Electronics Society, pp.3738-003742, 2015. ,
Ambient temperature corrected dynamic transmission line ratings at two PG amp;E locations, IEEE Trans. Power Deliv, vol.6, issue.3, pp.1234-1242, 1991. ,
Dynamic Line Rating Using Numerical Weather Predictions and Machine Learning: A Case Study, IEEE Trans. Power Deliv, vol.32, issue.1, pp.335-343, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01331743
Electricity transmission congestion costs: A review of recent reports, 2003. ,
Electric power system cost/loss optimization using dynamic thermal rating and linear programming, Electric Power and Energy Conference (EPEC), pp.1-6, 2010. ,
Probabilistic N-1 security assessment incorporating dynamic line ratings, IEEE Power Energy Society General Meeting, pp.1-5, 2013. ,
Prospects for dynamic transmission circuit ratings, The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196), vol.3, pp.205-208, 2001. ,
Application of dynamic rating to evaluation of ATC with thermal constraints considering weather conditions, IEEE Power Engineering Society General Meeting, p.6, 2006. ,
Dynamic thermal rating application to facilitate wind energy integration, IEEE Trondheim, pp.1-7, 2011. ,
Potential of improved wind integration by dynamic thermal rating of overhead lines, IEEE Bucharest, pp.1-5, 2009. ,
Dynamic line rating protection for wind farm connections, 2008. ,
Integrated reliability and cost-benefit-based standards for transmission network operation, Proc. Inst. Mech. Eng. Part O J. Risk Reliab, vol.226, issue.1, pp.75-87, 2012. ,
Impact From Dynamic Line Rating on Wind Power Integration, IEEE Trans. Smart Grid, vol.6, issue.1, pp.343-350, 2015. ,
Strategic distribution network planning with smart grid technologies, IEEE Trans. Smart Grid, 2016. ,
Impact of dynamic line rating with forecast error on the scheduling of reserve service, Power and Energy Society General Meeting (PESGM), pp.1-5, 2016. ,
Optimal scheduling with dynamic line ratings and intermittent wind power, PES General Meeting| Conference & Exposition, pp.1-5, 2014. ,
Monte Carlo based method for managing risk of scheduling decisions with dynamic line ratings, Power & Energy Society General Meeting, pp.1-5, 2015. ,
Alleviating post-contingency congestion risk of wind integrated systems with dynamic line ratings, Power Engineering Conference (AUPEC), pp.1-6, 2014. ,
Investigating the Impact of Real-Time Thermal Ratings on Power Network Reliability, IEEE Trans. Power Syst, vol.29, issue.5, pp.2460-2468, 2014. ,
Optimal demand response scheduling with real time thermal ratings of overhead lines for improved network reliability, IEEE Trans. Smart Grid, 2016. ,
Electrothermal coordination part I: theory and implementation schemes, IEEE Trans. Power Syst, vol.20, issue.2, pp.798-805, 2005. ,
Electrothermal coordination part II: case studies, IEEE Trans. Power Syst, vol.20, issue.4, pp.1738-1745, 2005. ,
Dynamic line rating in the operating environment, IEEE Trans. Power Deliv, vol.5, issue.2, pp.1095-1105, 1990. ,
Forecasting for dynamic line rating, Renew. Sustain. Energy Rev, vol.52, pp.1713-1730, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01199238
Operational experience with Dynamic Line Rating forecast-based solutions to increase usable network transfer capacity, Proc. 45th Sess. Counc. Large Electr. Syst. CIGRE, 2014. ,
Dynamic 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 Europe, 2013. ,
Probabilistic forecasting of dynamic line rating for over-head transmission lines, IEEE Power Energy Society General Meeting, pp.1-5, 2015. ,
Probabilistic ampacity forecasting for overhead lines using weather forecast ensembles, Electr. Eng, vol.95, issue.2, 2013. ,
Beyond Real Time: the Computational Challenges of Forecasting Dynamic Line Ratings, presented at the FERC Software Tech Conference, vol.26, 2013. ,
Prediction of overhead transmission line ampacity by stochastic and deterministic models, IEEE Trans. Power Deliv, vol.3, issue.2, pp.789-800, 1988. ,
Weather forecasted thermal line rating model for the Netherlands, CIGRE Session, 2012. ,
Trading Wind Generation From Short-Term Probabilistic Forecasts of Wind Power, IEEE Trans. Power Syst, vol.22, issue.3, pp.1148-1156, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00617685
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Optimal expectile smoothing, Comput. Stat. Data Anal, vol.53, issue.12, pp.4168-4177, 2009. ,
Probabilistic weather forecasting for dynamic line rating studies, 2016 Power Systems Computation Conference (PSCC), pp.1-7, 2016. ,
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. ,
Artificial neural networks application for current rating of overhead lines, IEEE International Conference on Neural Networks, vol.1, pp.418-422, 1995. ,
Probabilistic forecasting for the ampacity of overhead transmission lines using quantile regression method, 2016 IEEE PES AsiaPacific Power and Energy Engineering Conference (APPEEC), pp.1632-1635, 2016. ,
Quantile regression, 2005. ,
Overhead line real-time rating estimation algorithm: description and validation, Proc. Inst. Mech. Eng. Part J. Power Energy, vol.224, issue.3, pp.293-304, 2010. ,
A Bayesian approach for shortterm transmission line thermal overload risk assessment, IEEE Trans. Power Deliv, vol.17, issue.3, pp.770-778, 2002. ,
Risk assessment of transmission dynamic line rating based on Monte Carlo, 2011 IEEE Power Engineering and Automation Conference, vol.2, pp.398-402, 2011. ,
Prediction of Dynamic Line Rating Based on Assessment Risk by Time Series Weather Model, 2006 International Conference on Probabilistic Methods Applied to Power Systems, pp.1-7, 2006. ,
Forecasting real-time ratings for electricity distribution networks using weather forecast data, CIRED 2009 -20th International Conference and Exhibition on Electricity Distribution -Part 1, pp.1-4, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-01848958
Modelling and prediction techniques for dynamic overhead line rating, Power and Energy Society General Meeting, pp.1-7, 2012. ,
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Robust Corrective Control Measures in Power Systems With Dynamic Line Rating, IEEE Trans. Power Syst, vol.31, issue.3, pp.2034-2043, 2016. ,
Planning network reinforcements with dynamic line ratings for overhead transmission lines, Universities Power Engineering Conference (UPEC), pp.1-6, 2010. ,
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. ,
Equipment and methodology for linking overhead line circuit ratings to the output of nearby windfarms, Universities Power Engineering Conference, pp.1-5, 2008. ,
Methodology for applying real-time ratings to wood pole supported overhead lines, Universities Power Engineering Conference, pp.1-5, 2009. ,
Regression quantiles, Econom. J. Econom. Soc, pp.33-50, 1978. ,
A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions, IEEE Trans. Neural Netw, vol.20, issue.7, pp.1087-1101, 2009. ,
Using conditional kernel density estimation for wind power density forecasting, J. Am. Stat. Assoc, vol.107, issue.497, pp.66-79, 2012. ,
Probabilistic short-term wind power forecasting for the optimal management of wind generation," in Power Tech, IEEE Lausanne, pp.683-688, 2007. ,
Time adaptive conditional kernel density estimation for wind power forecasting, IEEE Trans. Sustain. Energy, vol.3, issue.4, pp.660-669, 2012. ,
GEFCom2014 probabilistic solar power forecasting based on k-nearest neighbor and kernel density estimator, IEEE Power Energy Society General Meeting, pp.1-5, 2015. ,
Forecasting electricity smart meter data using conditional kernel density estimation, Omega, vol.59, pp.47-59, 2016. ,
Multivariate density estimation: theory, practice, and visualization, 2015. ,
Greedy function approximation: a gradient boosting machine, Ann. Stat, pp.1189-1232, 2001. ,
Generalized Boosted Models: A guide to the gbm package, Update, vol.1, issue.1, p.2007, 2007. ,
Practical bayesian optimization of machine learning algorithms, Advances in neural information processing systems, pp.2951-2959, 2012. ,
Non-parametric probabilistic forecasts of wind power: required properties and evaluation, Wind Energy, vol.10, issue.6, pp.497-516, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00525361
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Probabilistic energy forecasting: Global energy forecasting competition 2014 and beyond, 2016. ,
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Calibrated probabilistic forecasting using ensemble model output statistics and minimum CRPS estimation, Mon. Weather Rev, vol.133, issue.5, pp.1098-1118, 2005. ,
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Nonparametric estimation of extreme conditional quantiles, J. Stat. Comput. Simul, vol.74, issue.8, pp.567-580, 2004. ,
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Setting the maximum import net transfer capacity under extreme RES integration scenarios, 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), pp.1-7, 2016. ,
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URL : https://hal.archives-ouvertes.fr/hal-00650905
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, Calculation methods -Elia, 2018.
Dynamic line rating day-ahead forecasts -cost benefit based selection of the optimal quantile, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01398440
DC power flow in unit commitment models, TMF Work. Pap.-Energy Environ. Tech Rep, 2014. ,
Security Constrained Unit Commitment With Dynamic Thermal Line Rating, IEEE Trans. Power Syst, vol.31, issue.3, pp.2014-2025, 2016. ,
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, , 2017.
MATPOWER: Steady-state operations, planning, and analysis tools for power systems research and education, IEEE Trans. Power Syst, vol.26, issue.1, pp.12-19, 2011. ,
Matpower Optimal Scheduling Tool MOST 1.0 User's Manual ,
Probabilistic methods moving towards the field: a tool for DG connection studies featuring the alternatives to grid reinforcement, Proc. CIRED Workshop, p.188, 2014. ,
The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee, IEEE Trans. Power Syst, vol.14, issue.3, pp.1010-1020, 1999. ,
, ENTSO-E -European Network of Transmission System Operators, 2018.
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, Thermal Behaviour of Overhead Conductors, Tech, vol.12, 2002.
Forecasting for dynamic line rating, Renewable and Sustainable Energy Reviews, vol.52, pp.1713-1730, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01199238
Electric power system cost/loss optimization using dynamic thermal rating and linear programming, Electric Power and Energy Conference (EPEC), pp.1-6, 2010. ,
Impact From Dynamic Line Rating on Wind Power Integration, Smart Grid, vol.6, pp.343-350, 2015. ,
Investigating the impact of real-time thermal ratings on power network reliability, IEEE Transactions on, vol.29, pp.2460-2468, 2014. ,
Probabilistic ampacity forecasting for overhead lines using weather forecast ensembles, Electrical Engineering, vol.95, pp.99-107, 2013. ,
Probabilistic forecasting of dynamic line rating for over-head transmission lines, Power & Energy Society General Meeting, pp.1-5, 2015. ,
Dynamic 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 Europe, 22nd International Conference and Exhibition on, pp.1-4, 2013. ,
, Final report on NETFLEX Demo, Twenties European Project, 2013.
Trading wind generation from short-term probabilistic forecasts of wind power, IEEE Transactions on, vol.22, pp.1148-1156, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00617685
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A new thermal rating approach: The real time thermal rating system for strategic overhead conductor transmission lines-Part I: General description and justification of the real time thermal rating system, IEEE Trans. Power Syst, vol.96, issue.3, 1977. ,
, IEEE Standard for Calculating the Current-Temperature Relationship for Bare Overhead Conductors, IEEE Std, pp.738-2012, 2012.
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Impact from Dynamic Line Rating on Wind Power Integration, IEEE Trans. Smart Grid, vol.6, issue.1, pp.343-350, 2015. ,
N?1 security assessment incorporating the flexibility offered by dynamic line rating, PSCC, 2016. ,
Dynamic line rating protection for wind farm connections, Proc. CIGRE/IEEE PES Joint Symp. Integration of Wide-Scale Renewable Resources into the Power Delivery Syst, pp.1-5, 2009. ,
Strategic Distribution Network Planning with Smart Grid Technologies, IEEE Trans. Smart Grid, 2016. ,
Optimal Demand Response Scheduling with Real Time Thermal Ratings of Overhead Lines for Improved Network Reliability, IEEE Trans. Power Syst, 2016. ,
Security Constrained Unit Commitment With Dynamic Thermal Line Rating, IEEE Transactions on Power Systems, vol.31, pp.2014-2025, 2016. ,
Forecasting for dynamic line rating, Renewable and Sustainable Energy Reviews, vol.52, pp.1713-1730, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01199238
Dynamic Line Rating Using Numerical Weather Predictions and Machine Learning: A Case Study, IEEE Trans. Power Delivery, vol.32, issue.1, pp.335-343, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01331743
, , vol.95, p.99, 2013.
Probabilistic forecasting of dynamic line rating for over-head transmission lines, IEEE Power and Energy Society General Meeting, pp.1-5, 2015. ,
Distributionally Robust Congestion Management With Dynamic Line Ratings, IEEE Transactions on Power Systems, vol.30, pp.2198-2199, 2015. ,
Robust Corrective Control Measures in Power Systems with Dynamic Line Rating, IEEE Transactions on Power Systems, vol.31, p.2034, 2016. ,
A computational framework for uncertainty quantification and stochastic optimization in unit commitment with wind power generation, IEEE Trans. Power Syst, vol.26, issue.1, pp.431-441, 2010. ,
Quantile regression forests, The Journal of Machine Learning Research, vol.7, pp.983-999, 2006. ,
Dynamic thermal rating application to facilitate wind energy integration, PowerTech, 2011. ,
Transmission Network Investment with Probabilistic Security and Corrective Control, IEEE Trans. Power Syst, vol.28, issue.4, pp.3935-3944, 2013. ,
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Dynamic line rating day-ahead forecasts-cost benefit based selection of the optimal quantile, CIRED Workshop, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01398440
An efficient approach to power system uncertainty analysis with high-dimensional dependencies, IEEE Trans. Power Syst, 2017. ,
, Fei Teng (M'15) received his Bachelor degree from Beihang University, China in 2009 and PhD degree from Imperial College London in 2015. He is currently a lecturer in Control and Power Group at Imperial College London. His research interests include power system control and operation, system flexibility and stochastic optimization
Thermal Behaviour of Overhead Conductors, vol.12, 2002. ,
, IEEE Standard for Calculating the Current-Temperature Relationship of Bare Overhead Conductors, pp.1-72, 2012.
Guide for selection of weather parameters for bare overhead conductor ratings, CIGRE WG B, vol.2, 2006. ,
A new thermal rating approach: The real time thermal rating system for strategic overhead conductor transmission lines -Part I: General description and justification of the real time thermal rating system, IEEE Trans. Power Appar. Syst, vol.96, issue.3, pp.803-809, 1977. ,
Probabilistic N-1 security assessment incorporating dynamic line ratings, IEEE Power Energy Society General Meeting, 2013. ,
Electric power system cost/loss optimization using dynamic thermal rating and linear programming, Electric Power and Energy Conference (EPEC), 2010. ,
Impact From Dynamic Line Rating on Wind Power Integration, IEEE Trans. Smart Grid, vol.6, issue.1, pp.343-350, 2015. ,
Investigating the Impact of RealTime Thermal Ratings on Power Network Reliability, IEEE Trans. Power Syst, vol.29, issue.5, pp.2460-2468, 2014. ,
Forecasting for dynamic line rating, Renew. Sustain. Energy Rev, vol.52, pp.1713-1730, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01199238
Overhead line rating forecasting for the integration of wind power in electricity markets, 2015 International Conference on Clean Electrical Power (ICCEP), pp.382-388, 2015. ,
Dynamic 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 Europe, p.946, 2013. ,
Operational experience with Dynamic Line Rating forecast-based solutions to increase usable network transfer capacity, Proc. 45th Sess. Counc. Large Electr. Syst. CIGRE, 2014. ,
Weather forecasted thermal line rating model for the Netherlands, CIGRE Session, 2012. ,
Probabilistic ampacity forecasting for overhead lines using weather forecast ensembles, Electr. Eng, vol.95, issue.2, 2013. ,
Dynamic Line Rating Using Numerical Weather Predictions and Machine Learning: A Case Study, IEEE Trans. Power Deliv, vol.32, issue.1, pp.335-343, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01331743
, DLR Forecasting Presented at FERC -Nexans, p.8, 2018.
Robust Corrective Control Measures in Power Systems With Dynamic Line Rating, IEEE Trans. Power Syst, vol.31, issue.3, pp.2034-2043, 2016. ,
Impact of dynamic line rating with forecast error on the scheduling of reserve service, Power and Energy Society General Meeting (PESGM), 2016. ,
Optimal Demand Response Scheduling With Real-Time Thermal Ratings of Overhead Lines for Improved Network Reliability, IEEE Trans. Smart Grid, vol.8, issue.6, pp.2813-2825, 2017. ,
Alleviating postcontingency congestion risk of wind integrated systems with dynamic line ratings, Power Engineering Conference (AUPEC), 2014. ,
DOI : 10.1109/aupec.2014.6966636
Monte Carlo based method for managing risk of scheduling decisions with dynamic line ratings, Power & Energy Society General Meeting, 2015. ,
Understanding the Benefits of Dynamic Line Rating under Multiple Sources of Uncertainty, IEEE Trans. Power Syst, vol.33, issue.3, pp.3306-3314, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01686328
Optimal scheduling with dynamic line ratings and intermittent wind power, PES General Meeting| Conference & Exposition, 2014. ,
Application of dynamic rating to evaluation of ATC with thermal constraints considering weather conditions, IEEE Power Engineering Society General Meeting, 2006. ,
Quantile Regression Forests, J. Mach. Learn. Res, vol.7, pp.983-999, 2006. ,
GEFCom2014 probabilistic solar power forecasting based on k-nearest neighbor and kernel density estimator, IEEE Power Energy Society General Meeting, 2015. ,
Xgboost: A scalable tree boosting system, Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining, pp.785-794, 2016. ,
Lightgbm: A highly efficient gradient boosting decision tree, Advances in Neural Information Processing Systems, pp.3146-3154, 2017. ,
Practical bayesian optimization of machine learning algorithms, Advances in neural information processing systems, pp.2951-2959, 2012. ,
Probabilistic forecasting of dynamic line rating for over-head transmission lines, IEEE Power Energy Society General Meeting, 2015. ,
The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee, IEEE Trans. Power Syst, vol.14, issue.3, pp.1010-1020, 1999. ,
, , 2017.
Dynamic line rating dayahead forecasts -cost benefit based selection of the optimal quantile, pp.122-126, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01398440
Applicability of Dynamic Thermal Line Rating for Long Lines, IEEE Trans. Power Deliv, vol.33, issue.2, pp.719-727, 2018. ,