Damien Ernst

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Louis WehenkelProfessor of EE&CS, Montefiore Institute, ULiège - University of LiègeDirección de correo verificada de ulg.ac.be
Raphael FonteneauResearcher @ University of Liège, Liège, BelgiumDirección de correo verificada de ulg.ac.be
Pierre GeurtsProfessor of Computer Science, University of Liège, BelgiumDirección de correo verificada de ulg.ac.be
Mevludin GlavicUniversity of Liege, Department of Electrical Engineering and Computer ScienceDirección de correo verificada de uliege.be
Mania PavellaEmeritus professor of electrical engineering, University of LiègeDirección de correo verificada de ulg.ac.be
Bertrand CornélusseAssistant Professor, Université de LiègeDirección de correo verificada de ulg.ac.be
Daniel Ruiz-VegaProfessor of Electric Power Systems (ESIME-Zacatenco, IPN, Mexico)Dirección de correo verificada de ipn.mx
Lucian BusoniuProfessor and Group Lead, Automation Department, Technical University of Cluj-NapocaDirección de correo verificada de aut.utcluj.ro
Bart De Schutterfull professor & head of department, Delft Center for Systems and ControlDirección de correo verificada de tudelft.nl
Robert BabuskaProfessor, Delft University of Technology, Czech Technical University PragueDirección de correo verificada de tudelft.nl
Sébastien MathieuDelpowerDirección de correo verificada de delpower.be
Yannick PhulpinIngenieur Chercheur, EDF R&DDirección de correo verificada de yphulpin.eu
Quentin LouveauxAssociate professor, University of LiègeDirección de correo verificada de ulg.ac.be
Alireza BahmanyarHaulogyDirección de correo verificada de haulogy.be
Frédéric OlivierUniversity of LiègeDirección de correo verificada de ulg.ac.be
Vincent François-LavetVU AmsterdamDirección de correo verificada de vu.nl
francis maesPostdoctoral fellow, University of Leuven, BelgiumDirección de correo verificada de cs.kuleuven.be
Quentin GemineHead of Intelligent Systems Solutions at HaulogyDirección de correo verificada de haulogy.net
David RaduPortfolio Optimization Expert, ENGIE GEMSDirección de correo verificada de entsoe.eu
Miguel Manuel de VillenaPostdoctoral researcher, University of LiègeDirección de correo verificada de uliege.be

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Damien Ernst

Professor of Electrical Engineering and Computer Science, ULiège

Dirección de correo verificada de uliege.be - Página principal

Power Systems Smart Grids Reinforcement Learning Energy Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Extremely randomized trees P Geurts, D Ernst, L Wehenkel Machine learning 63, 3-42, 2006	8413	2006
Tree-Based Batch Mode Reinforcement Learning D Ernst, P Geurts, L Wehenkel Journal of Machine Learning Research 6 (4), 2005	1488	2005
Reinforcement learning and dynamic programming using function approximators L Busoniu, R Babuska, B De Schutter, D Ernst CRC press, 2017	1262	2017
Transient stability of power systems: a unified approach to assessment and control M Pavella, D Ernst, D Ruiz-Vega Springer Science & Business Media, 2012	728	2012
Active management of low-voltage networks for mitigating overvoltages due to photovoltaic units F Olivier, P Aristidou, D Ernst, T Van Cutsem IEEE Transactions on Smart Grid 7 (2), 926-936, 2015	371	2015
Power systems stability control: reinforcement learning framework D Ernst, M Glavic, L Wehenkel IEEE transactions on power systems 19 (1), 427-435, 2004	280	2004
The impact of different COVID-19 containment measures on electricity consumption in Europe A Bahmanyar, A Estebsari, D Ernst Energy Research & Social Science 68, 101683, 2020	269	2020
Reinforcement learning versus model predictive control: a comparison on a power system problem D Ernst, M Glavic, F Capitanescu, L Wehenkel IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2008	254	2008
Contingency filtering techniques for preventive security-constrained optimal power flow F Capitanescu, M Glavic, D Ernst, L Wehenkel IEEE Transactions on Power Systems 22 (4), 1690-1697, 2007	242	2007
Interior-point based algorithms for the solution of optimal power flow problems F Capitanescu, M Glavic, D Ernst, L Wehenkel Electric Power systems research 77 (5-6), 508-517, 2007	234	2007
Reinforcement learning for electric power system decision and control: Past considerations and perspectives M Glavic, R Fonteneau, D Ernst IFAC-PapersOnLine 50 (1), 6918-6927, 2017	232	2017
Reinforcement learning of heuristic EV fleet charging in a day-ahead electricity market S Vandael, B Claessens, D Ernst, T Holvoet, G Deconinck IEEE Transactions on Smart Grid 6 (4), 1795-1805, 2015	213	2015
Deep reinforcement learning solutions for energy microgrids management V François-Lavet, D Taralla, D Ernst, R Fonteneau European Workshop on Reinforcement Learning (EWRL 2016), 2016	192	2016
The global grid S Chatzivasileiadis, D Ernst, G Andersson Renewable Energy 57, 372-383, 2013	191	2013
An application of deep reinforcement learning to algorithmic trading T Théate, D Ernst Expert Systems with Applications 173, 114632, 2021	189	2021
A unified approach to transient stability contingency filtering, ranking and assessment D Ernst, D Ruiz-Vega, M Pavella, PM Hirsch, D Sobajic IEEE Transactions on Power Systems 16 (3), 435-443, 2001	185	2001
Clinical data based optimal STI strategies for HIV: a reinforcement learning approach D Ernst, GB Stan, J Goncalves, L Wehenkel Proceedings of the 45th IEEE Conference on Decision and Control, 667-672, 2006	182	2006
How to discount deep reinforcement learning: Towards new dynamic strategies V François-Lavet, R Fonteneau, D Ernst arXiv preprint arXiv:1512.02011, 2015	150	2015
A comparison of Nash equilibria analysis and agent-based modelling for power markets T Krause, EV Beck, R Cherkaoui, A Germond, G Andersson, D Ernst International Journal of Electrical Power & Energy Systems 28 (9), 599-607, 2006	138	2006
Coordinated primary frequency control among non-synchronous systems connected by a multi-terminal high-voltage direct current grid J Dai, Y Phulpin, A Sarlette, D Ernst IET generation, transmission & distribution 6 (2), 99-108, 2012	121	2012

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