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Damien Ernst

Damien Ernst

University of Liège
Belgium

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Electronics and Electrical Engineering D-index 33 Citations 11,656 218 World Ranking 4017 National Ranking 86

Computer Science D-index 32 Citations 12,662 265 World Ranking 8848 National Ranking 83

Overview

What is he best known for?

The fields of study Damien Ernst is best known for:

Mathematical optimization
Algorithm
Electricity

Tree (set theory) is closely connected to Combinatorics in his research, which is encompassed under the umbrella topic of Kernel (algebra). The study of Tree (set theory) is intertwined with the study of Combinatorics in a number of ways. In his work, Automatic frequency control is strongly intertwined with Telecommunications, which is a subfield of Terminal (telecommunication). Damien Ernst works mostly in the field of Benchmark (surveying), limiting it down to topics relating to Geodesy and, in certain cases, Grid, as a part of the same area of interest. Grid is closely attributed to Geodesy in his study. Combining a variety of fields, including Voltage, Direct current, Overvoltage and AC power, are what the author presents in his essays. Damien Ernst integrates many fields in his works, including Direct current and Voltage. The study of Artificial intelligence is intertwined with the study of Pattern recognition (psychology) in a number of ways. Damien Ernst regularly links together related areas like Artificial intelligence in his Pattern recognition (psychology) studies.

His most cited work include:

Extremely randomized trees (4262 citations)
Reinforcement Learning and Dynamic Programming Using Function Approximators (504 citations)
Tree-Based Batch Mode Reinforcement Learning (491 citations)

What are the main themes of his work throughout his whole career to date

Damien Ernst combines topics linked to Renewable energy, Voltage and Electricity with his work on Electrical engineering. His research on Voltage often connects related topics like Electrical engineering. His study deals with a combination of Artificial intelligence and Artificial neural network. He performs integrative Mathematical optimization and Statistics research in his work. Damien Ernst brings together Statistics and Mathematical optimization to produce work in his papers. Quantum mechanics is often connected to Electric power system in his work. He combines topics linked to Power (physics) with his work on Electric power system. His work on Quantum mechanics expands to the thematically related Power (physics). He integrates several fields in his works, including Reinforcement learning and Machine learning.

Damien Ernst most often published in these fields:

Artificial intelligence (62.50%)
Mathematical optimization (43.06%)
Quantum mechanics (36.11%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Extremely randomized trees

Pierre Geurts;Damien Ernst;Louis Wehenkel.
Machine Learning (2006)

5221 Citations

Tree-Based Batch Mode Reinforcement Learning

Damien Ernst;Pierre Geurts;Louis Wehenkel.
Journal of Machine Learning Research (2005)

1142 Citations

Reinforcement Learning and Dynamic Programming Using Function Approximators

Lucian Busoniu;Robert Babuska;Bart De Schutter;Damien Ernst.
(2010)

1060 Citations

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

Mania Pavella;Damien Ernst;Daniel Ruiz-Vega.
(2000)

619 Citations

Transient Stability of Power Systems

Mania Pavella;Damien Ernst;Daniel Ruiz-Vega.
(2000)

434 Citations

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

Frederic Olivier;Petros Aristidou;Damien Ernst;Thierry Van Cutsem.
IEEE Transactions on Smart Grid (2016)

261 Citations

Power systems stability control: reinforcement learning framework

D. Ernst;M. Glavic;L. Wehenkel.
IEEE Transactions on Power Systems (2004)

231 Citations

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

D. Ernst;M. Glavic;F. Capitanescu;L. Wehenkel.
systems man and cybernetics (2009)

209 Citations

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

Florin Capitanescu;Mevludin Glavic;Damien Ernst;Louis Wehenkel.
Electric Power Systems Research (2007)

209 Citations

Contingency Filtering Techniques for Preventive Security-Constrained Optimal Power Flow

F. Capitanescu;M. Glavic;D. Ernst;L. Wehenkel.
IEEE Transactions on Power Systems (2007)

204 Citations

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Damien Ernst

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Overview

What is he best known for?

The fields of study Damien Ernst is best known for:

His most cited work include:

What are the main themes of his work throughout his whole career to date

Damien Ernst most often published in these fields:

Best Publications

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