Damien Ernst

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Louis WehenkelProfessor of EE&CS, Montefiore Institute, ULiège - University of LiègeVerified email at ulg.ac.be
Raphael FonteneauResearcher @ University of Liège, Liège, BelgiumVerified email at ulg.ac.be
Pierre GeurtsProfessor of Computer Science, University of Liège, BelgiumVerified email at ulg.ac.be
Mevludin GlavicUniversity of Liege, Department of Electrical Engineering and Computer ScienceVerified email at montefiore.ulg.ac.be
Mania PavellaEmeritus professor of electrical engineering, University of LiègeVerified email at ulg.ac.be
Bertrand CornélusseAssistant Professor, Université de LiègeVerified email at ulg.ac.be
Daniel Ruiz-VegaProfessor of Electric Power Systems (ESIME-Zacatenco, IPN, Mexico)Verified email at ipn.mx
Lucian BusoniuProfessor and Group Lead, Automation Department, Technical University of Cluj-NapocaVerified email at aut.utcluj.ro
Bart De Schutterfull professor. hybrid control and intelligent transportation systems, Delft University ofVerified email at tudelft.nl
Robert BabuskaProfessor, Delft University of Technology, Czech Technical University PragueVerified email at tudelft.nl
Sébastien MathieuDelpowerVerified email at delpower.be
Yannick PhulpinIngenieur Chercheur, EDF R&DVerified email at yphulpin.eu
Frédéric OlivierUniversity of LiègeVerified email at ulg.ac.be
Quentin LouveauxAssociate professor, University of LiègeVerified email at ulg.ac.be
Vincent François-LavetVU AmsterdamVerified email at vu.nl
francis maesPostdoctoral fellow, University of Leuven, BelgiumVerified email at cs.kuleuven.be
Susan MurphyHarvard UniversityVerified email at g.harvard.edu
Quentin GemineHead of Intelligent Systems Solutions at HaulogyVerified email at haulogy.net
David RaduPlanning Specialist, ENTSO-EVerified email at entsoe.eu
Guy-Bart StanProfessor of BioSystems Engineering and Control, RAEng Chair, Bioengineering, Imperial CollegeVerified email at imperial.ac.uk

Damien Ernst

Professor of Electrical Engineering and Computer Science, ULiège - University of Liège

Verified email at ulg.ac.be - Homepage

Power Systems Smart Grids Reinforcement Learning Energy Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Extremely randomized trees P Geurts, D Ernst, L Wehenkel Machine learning 63, 3-42, 2006	7121	2006
Tree-Based Batch Mode Reinforcement Learning D Ernst, P Geurts, L Wehenkel Journal of Machine Learning Research 6 (4), 2005	1408	2005
Reinforcement learning and dynamic programming using function approximators L Busoniu, R Babuska, B De Schutter, D Ernst CRC press, 2017	1211	2017
Transient stability of power systems: a unified approach to assessment and control M Pavella, D Ernst, D Ruiz-Vega Springer Science & Business Media, 2000	699	2000
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	340	2015
Power systems stability control: reinforcement learning framework D Ernst, M Glavic, L Wehenkel IEEE transactions on power systems 19 (1), 427-435, 2004	267	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	239	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	235	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	234	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	225	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	199	2017
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	183	2001
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	181	2015
The global grid S Chatzivasileiadis, D Ernst, G Andersson Renewable Energy 57, 372-383, 2013	180	2013
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	168	2006
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	165	2016
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	133	2006
An application of deep reinforcement learning to algorithmic trading T Théate, D Ernst Expert Systems with Applications 173, 114632, 2021	130	2021
How to discount deep reinforcement learning: Towards new dynamic strategies V François-Lavet, R Fonteneau, D Ernst arXiv preprint arXiv:1512.02011, 2015	128	2015
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	117	2012

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