World's Best Scientists 2026 revealed!

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Computer Science

D-Index
43
Citations
18964
World Ranking
7747
National Ranking
75

Electronics and Electrical Engineering

D-Index
43
Citations
19069
World Ranking
3790
National Ranking
85

Overview

Damien Ernst is affiliated with the University of Liège in Belgium and has contributed extensively to research in engineering and computer science, with a particular focus on electrical and electronic engineering as well as artificial intelligence. Their work spans subfields including cognitive neuroscience, management science and operations research, and renewable energy, sustainability, and the environment.

Ernst's research covers several main topics, reflecting a diverse engagement with energy systems and intelligent control methodologies:

  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Reinforcement Learning in Robotics
  • Integrated Energy Systems Optimization
  • Energy Load and Power Forecasting
  • Optimal Power Flow Distribution
  • Neural dynamics and brain function

Some of the recent papers authored or co-authored by Damien Ernst include:

  • The impact of different COVID-19 containment measures on electricity consumption in Europe, 2020, published in Energy Research & Social Science
  • A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding, 2021, published in Open Repository and Bibliography (University of Liège)
  • The role of power-to-gas and carbon capture technologies in cross-sector decarbonisation strategies, 2020, published in Electric Power Systems Research
  • Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems, 2021, published in Energy and AI
  • S1 File -, 2020, published in OPAL (Open@LaTrobe) (La Trobe University)

Frequently collaborating with other researchers, Damien Ernst works closely with Adrien Bolland, Mathias Berger, Thibaut Théate, Ioannis Boukas, and David Radu. These collaborations have contributed to advancing knowledge within their fields of study.

Key venues for Damien Ernst's research publications include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Access
  • Applied Energy
  • SSRN Electronic Journal

The scientific output of Damien Ernst consists mostly of articles in highly specialized journals and repositories, evidencing a focus on interdisciplinary approaches to energy systems, artificial intelligence applications, and engineering challenges.

Best Publications

  • Extremely randomized trees

    Pierre Geurts;Damien Ernst;Louis Wehenkel

  • Tree-Based Batch Mode Reinforcement Learning

    Damien Ernst;Pierre Geurts;Louis Wehenkel

  • Reinforcement Learning and Dynamic Programming Using Function Approximators

    Lucian Busoniu;Robert Babuska;Bart De Schutter;Damien Ernst

  • Transient Stability of Power Systems: A Unified Approach to Assessment and Control

    Mania Pavella;Damien Ernst;Daniel Ruiz-Vega

  • Transient Stability of Power Systems

    Mania Pavella;Damien Ernst;Daniel Ruiz-Vega

  • Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units

    Frederic Olivier;Petros Aristidou;Damien Ernst;Thierry Van Cutsem

  • Power systems stability control: reinforcement learning framework

    D. Ernst;M. Glavic;L. Wehenkel

  • Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem

    D. Ernst;M. Glavic;F. Capitanescu;L. Wehenkel

  • Contingency Filtering Techniques for Preventive Security-Constrained Optimal Power Flow

    F. Capitanescu;M. Glavic;D. Ernst;L. Wehenkel

  • Reinforcement Learning for Electric Power System Decision and Control: Past Considerations and Perspectives

    Mevludin Glavic;Raphaël Fonteneau;Damien Ernst

  • The impact of different COVID-19 containment measures on electricity consumption in Europe

    Alireza Bahmanyar;Abouzar Estebsari;Damien Ernst

  • Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market

    Stijn Vandael;Bert Claessens;Damien Ernst;Tom Holvoet

  • Interior-point based algorithms for the solution of optimal power flow problems

    Florin Capitanescu;Mevludin Glavic;Damien Ernst;Louis Wehenkel

  • The Global Grid

    Spyros Chatzivasileiadis;Damien Ernst;Göran Andersson

  • An application of deep reinforcement learning to algorithmic trading

    Thibaut Théate;Damien Ernst

  • Clinical data based optimal STI strategies for HIV: a reinforcement learning approach

    Damien Ernst;Guy-Bart Stan;Jorge Goncalves;Louis Wehenkel

  • Deep Reinforcement Learning Solutions for Energy Microgrids Management

    Vincent François-Lavet;David Taralla;Damien Ernst;Raphaël Fonteneau

  • A comparison of Nash equilibria analysis and agent-based modelling for power markets

    Thilo Krause;Elena Vdovina Beck;Rachid Cherkaoui;Alain Germond

  • A Unified Approach to Transient Stability Contingency Filtering, Ranking, and Assessment

    D. Ernst;D. Ruiz-Vega;M. Pavella;P.M. Hirsch

  • Coordinated primary frequency control among non-synchronous systems connected by a multi-terminal high-voltage direct current grid

    Jing Dai;Yannick Phulpin;Alain Sarlette;Damien Ernst

Frequent Co-Authors

Louis Wehenkel
Louis Wehenkel University of Liège
Robert Babuska
Robert Babuska Delft University of Technology
Bart De Schutter
Bart De Schutter Delft University of Technology
Pierre Geurts
Pierre Geurts University of Liège
Guy-Bart Stan
Guy-Bart Stan Imperial College London
Miroslav Begovic
Miroslav Begovic Texas A&M University
Rachid Cherkaoui
Rachid Cherkaoui École Polytechnique Fédérale de Lausanne
Mauricio Barahona
Mauricio Barahona Imperial College London
Sébastien Bubeck
Sébastien Bubeck Microsoft (United States)

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