Damien Ernst

Damien Ernst's AcademicInfluence.com Rankings

Damien Ernst

Engineering

#6301

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#7618

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Electrical Engineering

#1855

World Rank

#1957

Historical Rank

engineering Degrees

Damien Ernst

Computer Science

#8247

World Rank

#8670

Historical Rank

Machine Learning

#3326

World Rank

#3366

Historical Rank

Artificial Intelligence

#3627

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#3679

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Database

#5273

World Rank

#5474

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computer-science Degrees

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Engineering
Computer Science

Damien Ernst's Degrees

PhD Electrical Engineering University of Liège
Masters Electrical Engineering University of Liège
Bachelors Electrical Engineering University of Liège

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Damien Ernst's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Extremely randomized trees (2006) (4712)
Tree-Based Batch Mode Reinforcement Learning (2005) (1083)
Reinforcement Learning and Dynamic Programming Using Function Approximators (2010) (884)
Transient Stability of Power Systems: A Unified Approach to Assessment and Control (2000) (400)
Transient Stability of Power Systems (2000) (297)
Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units (2016) (228)
Power systems stability control: reinforcement learning framework (2004) (209)
Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem (2009) (186)
Interior-point based algorithms for the solution of optimal power flow problems (2007) (177)
Contingency Filtering Techniques for Preventive Security-Constrained Optimal Power Flow (2007) (160)
Reinforcement Learning for Electric Power System Decision and Control: Past Considerations and Perspectives (2017) (146)
The impact of different COVID-19 containment measures on electricity consumption in Europe (2020) (141)
Clinical data based optimal STI strategies for HIV: a reinforcement learning approach (2006) (133)
Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market (2015) (131)
The Global Grid (2012) (113)
Deep Reinforcement Learning Solutions for Energy Microgrids Management (2016) (105)
A Unified Approach to Transient Stability Contingency Filtering, Ranking, and Assessment (2001) (102)
A comparison of Nash equilibria analysis and agent-based modelling for power markets (2006) (101)
Coordinated primary frequency control among non-synchronous systems connected by a multi-terminal high-voltage direct current grid (2012) (87)
How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies (2015) (86)
Multistage Stochastic Programming: A Scenario Tree Based Approach to Planning under Uncertainty (2011) (81)
Cross-Entropy Optimization of Control Policies With Adaptive Basis Functions (2011) (77)
Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities (2007) (77)
Online least-squares policy iteration for reinforcement learning control (2010) (76)
Batch mode reinforcement learning based on the synthesis of artificial trajectories (2013) (72)
Cooperative frequency control with a multi-terminal high-voltage DC network (2012) (68)
Transient stability-constrained optimal power flow (1999) (66)
Approximate dynamic programming with a fuzzy parameterization (2010) (65)
Upper Confidence Bound Based Decision Making Strategies and Dynamic Spectrum Access (2010) (65)
An Application of Deep Reinforcement Learning to Algorithmic Trading (2020) (64)
Approximate reinforcement learning: An overview (2011) (63)
Multi-armed bandit based policies for cognitive radio's decision making issues (2009) (60)
Residential heat pump as flexible load for direct control service with parametrized duration and rebound effect (2017) (56)
A control strategy for controllable series capacitor in electric power systems (2001) (52)
Approximate Value Iteration in the Reinforcement Learning Context. Application to Electrical Power System Control. (2005) (47)
Impact of delays on a consensus-based primary frequency control scheme for AC systems connected by a multi-terminal HVDC grid (2010) (47)
The cross-entropy method for power system combinatorial optimization problems (2007) (47)
Ensembles of extremely randomized trees and some generic applications (2006) (46)
Closed-loop transient stability emergency control (2000) (45)
Evaluation of Network Equivalents for Voltage Optimization in Multi-Area Power Systems (2009) (44)
Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime (2018) (43)
Risk-aware decision making and dynamic programming (2008) (43)
Comparison of different selection strategies in Monte-Carlo Tree Search for the game of Tron (2012) (40)
Blockchain for Peer-to-Peer Energy Exchanges: Design and Recommendations (2018) (40)
E-SIME - A method for transient stability closed-loop emergency control: achievements and prospects (2007) (39)
An Optimal Control Formulation of Pulse-Based Control Using Koopman Operator (2017) (39)
Learning Exploration/Exploitation Strategies for Single Trajectory Reinforcement Learning (2012) (37)
HVDC control strategies to improve transient stability in interconnected power systems (2009) (37)
Active network management: Planning under uncertainty for exploiting load modulation (2013) (34)
Reference transmission network: a game theory approach (2006) (33)
Iteratively Extending Time Horizon Reinforcement Learning (2003) (31)
Phase Identification of Smart Meters by Clustering Voltage Measurements (2018) (31)
A biased random key genetic algorithm applied to the electric distribution network reconfiguration problem (2017) (30)
Continuous-State Reinforcement Learning with Fuzzy Approximation (2007) (29)
ON MULTI-AREA CONTROL IN ELECTRIC POWER SYSTEMS (2005) (29)
Mathematical Modeling of HIV Dynamics After Antiretroviral Therapy Initiation: A Review (2014) (28)
The role of power-to-gas and carbon capture technologies in cross-sector decarbonisation strategies (2020) (28)
Introducing neuromodulation in deep neural networks to learn adaptive behaviours (2018) (28)
Nash Equilibria and Reinforcement Learning for Active Decision Maker Modelling in Power Markets (2004) (28)
Transient stability emergency control combining open-loop and closed-loop techniques (2003) (27)
Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality (2012) (26)
Model predictive control of HVDC power flow to improve transient stability in power systems (2011) (26)
Applications of security-constrained optimal power flows (2006) (26)
A deep reinforcement learning framework for continuous intraday market bidding (2020) (25)
Model-Free Monte Carlo-like Policy Evaluation (2010) (24)
Voltage control in an HVDC system to share primary frequency reserves between non-synchronous areas (2011) (24)
Scenario Trees and Policy Selection for Multistage Stochastic Programming Using Machine Learning (2011) (24)
Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning (2012) (24)
A unified approach to transient stability contingency filtering, ranking and assessment (2001) (23)
Automatic Discovery of Ranking Formulas for Playing with Multi-armed Bandits (2011) (22)
Meta-learning of Exploration/Exploitation Strategies: The Multi-armed Bandit Case (2012) (22)
Real-time transient stability emergency control of the South-Southeast Brazilian system (1998) (22)
An efficient algorithm for the provision of a day-ahead modulation service by a load aggregator (2013) (22)
Cross-Entropy Based Rare-Event Simulation for the Identification of Dangerous Events in Power Systems (2008) (21)
A contingency filtering, ranking and assessment technique for on-line transient stability studies (2000) (21)
Modelling the influence of activation-induced apoptosis of CD4+ and CD8+ T-cells on the immune system response of a HIV-infected patient. (2008) (21)
Critical Time Windows for Renewable Resource Complementarity Assessment (2018) (21)
Market dynamics driven by the decision-making of both power producers and transmission owners (2004) (21)
Towards the Minimization of the Levelized Energy Costs of Microgrids using both Long-term and Short-term Storage Devices (2016) (20)
Active network management for electrical distribution systems: problem formulation, benchmark, and approximate solution (2014) (20)
Learning to Play K-armed Bandit Problems (2012) (20)
Global Power Grids for Harnessing World Renewable Energy (2014) (19)
Inferring bounds on the performance of a control policy from a sample of trajectories (2009) (19)
Combining a stability and a performance-oriented control in power systems (2005) (19)
On overfitting and asymptotic bias in batch reinforcement learning with partial observability (2017) (18)
Market dynamics driven by the decision-making power producers (2004) (18)
Imitative learning for real-time strategy games (2012) (18)
On-line transient stability constrained ATC calculations (2000) (17)
A quantitative analysis of the effect of flexible loads on reserve markets (2014) (17)
Transient stability-constrained generation rescheduling (1998) (17)
Toggling a Genetic Switch Using Reinforcement Learning (2013) (17)
A Cautious Approach to Generalization in Reinforcement Learning (2010) (16)
Towards Min Max Generalization in Reinforcement Learning (2010) (16)
Variable selection for dynamic treatment regimes: a reinforcement learning approach (2008) (16)
A SC/battery Hybrid Energy Storage System in the Microgrid (2017) (16)
Artificial Intelligence in Video Games: Towards a Unified Framework (2015) (16)
Ancillary services and operation of multi-terminal HVDC grids (2011) (16)
Complementarity Assessment of South Greenland Katabatic Flows and West Europe Wind Regimes (2018) (16)
A fair method for centralized optimization of multi-TSO power systems (2009) (15)
Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging (2014) (15)
Near Optimal Closed-Loop Control. Application to Electric Power Systems (2003) (15)
Foreseeing New Control Challenges in Electricity Prosumer Communities (2017) (14)
A reinforcement learning based discrete supplementary control for power system transient stability enhancement (2005) (14)
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems (2021) (14)
Relaxations for multi-period optimal power flow problems with discrete decision variables (2014) (14)
Apoptosis characterizes immunological failure of HIV infected patients (2009) (13)
A bio-inspired bistable recurrent cell allows for long-lasting memory (2020) (13)
Chapter 14 – Global Power Grids for Harnessing World Renewable Energy (2014) (13)
Policy search with cross-entropy optimization of basis functions (2009) (13)
Selecting concise sets of samples for a reinforcement learning agent (2005) (13)
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control (2000) (12)
Global capacity announcement of electrical distribution systems: A pragmatic approach (2015) (12)
Monte Carlo Search Algorithm Discovery for Single-Player Games (2013) (12)
Fuzzy Approximation for Convergent Model-Based Reinforcement Learning (2007) (12)
Coordination of voltage control in a power system operated by multiple transmission utilities (2010) (12)
Fuzzy Partition Optimization for Approximate Fuzzy Q-iteration (2008) (12)
Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty (2017) (12)
Using prior knowledge to accelerate online least-squares policy iteration (2010) (12)
Optimal Sample Selection for Batch-mode Reinforcement Learning (2011) (11)
FACTS devices controlled by means of reinforcement learning algorithms (2002) (11)
An approach to modal analysis of power system angle stability (2001) (11)
On periodic reference tracking using batch-mode reinforcement learning with application to gene regulatory network control (2013) (11)
A Gaussian mixture approach to model stochastic processes in power systems (2016) (11)
Model predictive control and reinforcement learning as two complementary frameworks (2006) (10)
Global electricity network - Feasibility study (2019) (10)
On the Fairness of Centralised Decision-Making Strategies in multi-TSO Power Systems (2008) (10)
Sparse Training Theory for Scalable and Efficient Agents (2021) (10)
Benchmarking for Bayesian Reinforcement Learning (2015) (10)
Remote Renewable Hubs for Carbon-Neutral Synthetic Fuel Production (2021) (10)
Application of an advanced transient stability assessment and control method to a realistic power system (2005) (10)
Network tariffs and the integration of prosumers: The case of Wallonia (2021) (10)
Coordinated Primary Frequency Control among Non-Synchronous Systems Connected by a Multi-Terminal HVDC Grid (2010) (10)
Efficient management of a connected microgrid in Belgium (2017) (10)
Active network management for electrical distribution systems: problem formulation and benchmark (2014) (10)
Nash equilibrium as the minimum of a function. Application to electricity markets with large number of actors (2007) (9)
Reinforcement Learning with Raw Image Pixels as Input State (2006) (9)
What is the likely future of real-time transient stability? (2009) (9)
DSIMA: A testbed for the quantitative analysis of interaction models within distribution networks (2016) (9)
A rare event approach to build security analysis tools when N − k (k >1) analyses are needed (as they are in large scale power systems) (2009) (9)
Consistency of fuzzy model-based reinforcement learning (2008) (9)
Impact of gate closure time on the efficiency of power systems balancing (2019) (9)
NEW DEVELOPMENTS IN THE APPLICATION OF AUTOMATIC LEARNING TO POWER SYSTEM CONTROL (2005) (9)
Decentralized Reactive Power Dispatch for a Time-Varying Multi-TSO System (2009) (9)
An approach to real-time transient stability assessment and control (1997) (9)
Evaluating the Evolution of Distribution Networks under Different Regulatory Frameworks with Multi-Agent Modelling (2019) (9)
Real-Time Bidding Strategies from Micro-Grids Using Reinforcement Learning (2018) (8)
Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees (2008) (8)
Modelling and assessing the impact of the DSO remuneration strategy on its interaction with electricity users (2021) (8)
Mathematical modeling of HIV dynamics after antiretroviral therapy initiation: a clinical research study. (2014) (8)
Generating Informative Trajectories by using Bounds on the Return of Control Policies (2010) (8)
Decision Making from Confidence Measurement on the Reward Growth using Supervised Learning - A Study Intended for Large-scale Video Games (2016) (7)
Agent-based analysis of dynamic access ranges to the distribution network (2016) (7)
Optimal assignment of off-peak hours to lower curtailments in the distribution network (2014) (7)
Pseudo-Geographical Representations of Power System Buses by Multidimensional Scaling (2009) (7)
Assessing the impact of offshore wind siting strategies on the design of the European power system (2020) (7)
Outbound SPIT filter with optimal performance guarantees (2012) (7)
Using approximate dynamic programming for estimating the revenues of a hydrogen-based high-capacity storage device (2014) (7)
An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles (2017) (7)
Ancillary services and operation of multi-terminal HVdc systems (2011) (7)
Reinforcement learning with raw image pixels as state input (2006) (7)
Consequence driven decomposition of large-scale power system security analysis (2010) (7)
Preventive and emergency transient stability control (2000) (7)
Preventive and emergency control of power systems (2005) (6)
Artificial intelligence design for real-time strategy games (2011) (6)
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education (2021) (6)
Compensation schemes for transient stability assessment and control (1998) (6)
SiSTEM, a Model for the Simulation of Short-Term Electricity Markets (2017) (6)
E-CLOUD, the open microgrid in existing network infrastructure (2017) (6)
Direct control service from residential heat pump aggregation with specified payback (2016) (6)
Automatic Phase Identification of Smart Meter Measurement Data (2017) (6)
Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces (2009) (6)
Modelling of three-phase four-wire low-voltage cables taking into account the neutral connection to the earth (2018) (5)
Power System Transient Stability Preventive and Emergency Control (2014) (5)
Optimized look‐ahead tree policies: a bridge between look‐ahead tree policies and direct policy search (2012) (5)
Automatic learning of sequential decision strategies for dynamic security assessment and control (2006) (5)
Multi-Area Security Assessment: Resuits using Efficient Bounding Method (2006) (5)
Exploiting policy knowledge in online least-squares policy iteration: An empirical study (2010) (5)
Computing bounds for kernel-based policy evaluation in reinforcement learning (2010) (5)
DISTRIBUTED MODEL-FREE CONTROL OF PHOTOVOLTAIC UNITS FOR MITIGATING OVERVOLTAGES IN LOW-VOLTAGE NETWORKS (2014) (5)
Damping Control by Fusion of Reinforcement Learning and Control Lyapunov Functions (2006) (5)
Optimized Look-ahead Tree Search Policies (2011) (5)
A Framework to Integrate Flexibility Bids into Energy Communities to Improve Self-Consumption (2020) (5)
Imitative Learning for Online Planning in Microgrids (2015) (5)
Fostering Share&Charge through proper regulation (2018) (5)
Optimal operation and fair profit allocation in community microgrids (2018) (5)
Min Max Generalization for Deterministic Batch Mode Reinforcement Learning: Relaxation Schemes (2012) (5)
The State of Play in Cross-Border Electricity Trade and the Challenges towards a Global Electricity Market Environment (2017) (4)
Centralised Planning of National Integrated Energy System with Power-to-Gas and Gas Storages (2018) (4)
SPRT for SPIT: Using the Sequential Probability Ratio Test for Spam in VoIP Prevention (2012) (4)
Discussion of "A unified approach to transient stability contingency filtering, ranking, and assessment" [and closure] (2002) (4)
Blockchain: A Novel Approach for the Consensus Algorithm Using Condorcet Voting Procedure (2019) (4)
On multi-area security assessment of large interconnected power systems (2006) (4)
A process to address electricity distribution sector challenges: the GREDOR project approach (2015) (4)
A Model Predictive based emergency control scheme using TCSC to improve power system transient stability (2012) (4)
Computing Necessary Conditions for Near-Optimality in Capacity Expansion Planning Problems (2021) (4)
Monte Carlo Search Algorithm Discovery for One Player Games (2012) (3)
How compatible is perfect competition with transmission loss allocation methods? (2008) (3)
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning (2020) (3)
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies (2009) (3)
A multi-agent system approach to model the interaction between distributed generation deployment and the grid (2018) (3)
Distributed Control of Photovoltaic Units in Unbalanced LV Distribution Networks to Prevent Overvoltages (2018) (3)
Voronoi model learning for batch mode reinforcement learning (2010) (3)
Allocation of locally generated electricity in renewable energy communities (2020) (3)
Optimized look-ahead tree policies (2011) (3)
Optimal discovery with probabilistic expert advice (2011) (3)
Solving the fluctuation problems in a land with 100% of renewable energy (2013) (3)
Balancing Markets (2019) (3)
Churn prediction in online gambling (2022) (2)
Relaxation schemes for min max generalization in deterministic batch mode reinforcement learning (2011) (2)
Financial Optimization of Renewable Energy Communities Through Optimal Allocation of Locally Generated Electricity (2022) (2)
Model Reduction in Capacity Expansion Planning Problems via Renewable Generation Site Selection (2021) (2)
A collaborative framework for multi-area dynamic security assessment of large scale systems (2007) (2)
On the Dynamics of the Deployment of Renewable Energy Production Capacities (2017) (2)
Siting renewable power generation assets with combinatorial optimisation (2021) (2)
Bayes Adaptive Reinforcement Learning versus Off-line Prior-based Policy Search: an Empirical Comparison (2014) (2)
Extended Equal Area Criterion Revisited: A Direct Method for Fast Transient Stability Analysis (2021) (2)
Introduction to SIME (2000) (2)
Approximate Bayes Optimal Policy Search using Neural Networks (2017) (2)
Graph-Based Optimization Modeling Language: A Tutorial (2021) (2)
Regulatory Challenges for Share&Charge Models (2018) (2)
Contextual multi-armed bandits for web server defense (2012) (2)
Microgrids and their destructuring effects on the electrical industry (2014) (2)
Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks (2021) (2)
About automatic learning for advanced sensing, monitoring and control of electric power systems (2006) (2)
Active exploration by searching for experiments that falsify the computed control policy (2011) (2)
Reinforcement learning applied to power system oscillations damping (2001) (2)
Recurrent networks, hidden states and beliefs in partially observable environments (2022) (2)
Optimized look-ahead trees: Extensions to large and continuous action spaces (2013) (2)
A Learning Procedure for Sampling Semantically Different Valid Expressions (2014) (1)
Empirical Analysis of Policy Gradient Algorithms where Starting States are Sampled accordingly to Most Frequently Visited States (2020) (1)
An Artificial Intelligence Solution for Electricity Procurement in Forward Markets (2020) (1)
Probabilistic capacity assessment for three-phase low-voltage distribution networks (2021) (1)
Graph matching for reconciling SCADA and GIS of a distribution network (2015) (1)
Resource Complementarity as Criterion for Siting Renewable Energy Generation Assets (2019) (1)
Sequential decision-making approach for quadrangular mesh generation (2015) (1)
Reconstruction of Low-Voltage Networks with Limited Observability (2019) (1)
Min Max Generalization for Two-stage Deterministic Batch Mode Reinforcement Learning: Relaxation Schemes (2012) (1)
Harnessing the flexibility of energy management systems: a retailer perspective (2019) (1)
immune system response of a HIV infected patient (2008) (1)
Macroscopic analysis of interaction models for the provision of flexibility in distribution systems (2015) (1)
Batch mode reinforcement learning based on the synthesis of artificial trajectories (2012) (1)
Exploring Regulation Policies in Distribution Networks through a Multi-Agent Simulator (2018) (1)
Blockchain for peer-to-peer energy exchanges: probabilistic approach of Proof of Stake (2018) (1)
Further validation and extensions of the Global Capacity ANnouncement procedure for distribution systems (2016) (1)
Dynamic Treatment Regimes using Reinforcement Learning: A Cautious Generalization Approach (2009) (1)
Low-voltage network topology and impedance identification using smart meter measurements (2021) (1)
Understanding active network management in 30 minutes (2013) (1)
GBOML: Graph-Based Optimization Modeling Language (2022) (1)
Transient Stability Emergency Control (2003) (1)
Closed-Loop Emergency Control (2000) (1)
Meta-learning of exploration-exploitation strategies in reinforcement learning (2013) (1)
Active network management for electrical distribution systems: problem formulation, benchmark, and approximate solution (2016) (1)
Learning optimal environments using projected stochastic gradient ascent (2020) (1)
Lower bounds in reinforcement learning: the intelligent agent dream is getting closer (2009) (0)
OptimalControl Formulation ofPulse-BasedControlUsing KoopmanOperator (2017) (0)
N I ] 1 2 Ju l 2 01 2 Contextual Multi-armed Bandits for the Prevention of Spam in VoIP Networks Technical Report (2013) (0)
AI for energy: a bright and uncertain future ahead (2020) (0)
The inevitable downfall of the Belgian electrical power industry (2015) (0)
Electrification and DRC (2017) (0)
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition (2022) (0)
COP21 and Electrical Systems (2016) (0)
The global grid for empowering renewable energy (2015) (0)
Approximate policy search with cross-entropy optimization of basis functions (2017) (0)
Resilience of the distribution system operator network near to 50.2 Hz (2017) (0)
STUDYING THE ALLOCATION OF DISTRIBUTION COST WITH A MULTI-AGENT SIMULATOR (2018) (0)
Global Grid(s) versus Microgrids (2015) (0)
Integration of renewable energy sources and demand-side management into distribution networks (2016) (0)
The Smart Grids lab at the University of Liège (2020) (0)
List of algorithms (2010) (0)
Variable selection for dynamic treatment regimes (2008) (0)
Modelling and Emulation of an Unbalanced LV Feeder with Photovoltaic Inverters (2016) (0)
Electric car: 697,612 km to become green! True or false? (2019) (0)
Cellular neuromodulation in artificial networks (2019) (0)
Analyzing transient instability phenomena beyond the classical stability boundary (2008) (0)
Estimating the revenues of a hydrogen-based high-capacity storage device: methodology and results (2014) (0)
Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning (2021) (0)
The cross-entropy method (2010) (0)
Preventive countermeasures for transient stability-constrained power systems (2000) (0)
An introduction to dynamic programming and reinforcement learning (2010) (0)
Batteries and disrupting business models for the energy sector (2016) (0)
A computationally efficient algorithm for the provision of a day-ahead modulation service by a load aggregator (2012) (0)
Computing near-optimal policies from trajectories by solving a sequence of standard supervised learning problems (2006) (0)
Integrated TSA&C Software (2000) (0)
A UNIFIED APPROACH TO TRANSIENT STABILITY ASSESSMENT AND CONTROL 2 . 1 (2005) (0)
The Rise of Artificial Intelligence (2016) (0)
Soirée des Grands Prix SEE - A glimpse at the research work of the laureate of the Blondel Medal 2018 - Prof. Damien ERNST (2018) (0)
Nuclear: the dreaming reality (2019) (0)
Beyond function approximators for batch mode reinforcement learning: rebuilding trajectories (2010) (0)
CORDI-S-CRI Paris ] Sequential methods for robust decision making (2018) (0)
Residential heat pumps as flexible loads for direct control service with constrained payback (2016) (0)
Lipschitz robust control from off-policy trajectories (2014) (0)
Inferring bounds on the performance of a control policy from a sample of one-step system transitions (2009) (0)
The Role of Hydrogen in the Dutch Electricity System (2020) (0)
Short-term active distribution network operation under uncertainty (2020) (0)
Supervised learning based sequential decision making (2005) (0)
Effect of voltage constraints on the exchange of flexibility services in distribution networks (2018) (0)
New network structures : decentralization , prosumers , and the role of online platforms (2018) (0)
Parallel Cascade Correlation: A GPU Implementation (2015) (0)
Smart conversion of residual heat into electricity: the electricity market point of view (2013) (0)
Governments at COP24 should focus on building a global electricity grid – Prof. Damien Ernst (2018) (0)
Approximate policy iteration for online learning and continuous-action control (2010) (0)
Learning for exploration-exploitation in RL. The dusk of the small formulas’ reign (2011) (0)
Implementing supervised learning techniques to design a decentralized control strategy for Electric Prosumer Communities (2018) (0)
Matching of everyday power supply and demand with dynamic pricing: Problem formalisation and conceptual analysis (2023) (0)
Energy: the clash of nations (2017) (0)
Optimal control of renewable energy communities with controllable assets (2023) (0)
Rhythms in Neuromorphic Reinforcement Learning (2012) (0)
Harnessing the Potential of Power-to-Gas Technologies. Insights from a preliminary analysis focused on Belgium (2019) (0)
Research and Education Activities in Electric Power Systems at the University of Liège (2008) (0)
A glimpse at the research work of the laureate of the Blondel Medal 2018 (2018) (0)
Assessing the Economic Value of Renewable Resource Complementarity for Power Systems: an ENTSO-E Study (2020) (0)
Uber-like Models for the Electrical Industry (2017) (0)
Contextual Multi-armed Bandits for the Prevention of Spam in VoIP Networks (2012) (0)
Capacity mechanisms for improving security of supply: quick fixes or thoughtfully rethinking the way electricity is traded? (2016) (0)
Cooperativefrequencycontrolwithamulti-terminal high-voltageDCnetwork ? (2012) (0)
Towards CO2 valorization in a multi remote renewable energy hub framework (2023) (0)
Neuromorphic reinforcement learning (2012) (0)
The GREDOR project. Redesigning the decision chain for managing distribution networks (2015) (0)
Time to make a choice between a fully liberal or fully regulated model for the electrical industry (2017) (0)
Multi-terminal HVDC systems and ancillary services (2012) (0)
GREDOR. Outcomes and recommendations (2017) (0)
Approximate value iteration with a fuzzy representation (2017) (0)
Biorthogonalization Techniques for Least Squares Temporal Difference Learning (2012) (0)
Extreme engineering for fighting climate change and the Katabata project (2020) (0)
Resilience of the DSO network near to 50.2Hz (2017) (0)
Preventive Analysis and Control (2000) (0)
Retrospect and Prospect (2000) (0)
A general framework for power system transient stability control (1999) (0)
Multi-objective near-optimal necessary conditions for multi-sectoral planning (2023) (0)
Ex-post allocation of electricity and real-time control strategy for renewable energy communities (2020) (0)
Simulation-based Assessment of the Impact of Regulatory Frameworks on the Interactions between Electricity Users and Distribution System Operator (2017) (0)
Solving Optimal Control Problems for Monotone Systems Using the Koopman Operator (2020) (0)
Contribution au rapport final - Subvention 2015-2016 - Actualisation du diagnostic du Schéma de Développement Territorial wallon - Secteur Production, Transport et Stockage de l'Energie (2016) (0)
Residential Energy Communities: How to minimize the investment risk from an investor perspective (2021) (0)
Reinforcement learning, energy systems and deep neural nets (2018) (0)
Big infrastructures for fighting climate change (2020) (0)
Smart Grids versus Microgrids (2016) (0)
Electricity retailing in Europe: remarkable events (with a special focus on Belgium) (2018) (0)
Reinforcement learning: a generic tool for solving sequential decision-making problems for electrical systems (2018) (0)
An economic case for transnational and international transmission (2015) (0)
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent (2020) (0)
The Green Grid Network and Trading Renewable Energy (2016) (0)
Exploiting the flexibility potential of water distribution networks: A pilot project in Belgium (2023) (0)
ApproximateDynamicProgramming with aFuzzyParameterization ⋆ (2010) (0)
Optimal Connection Phase Selection of Residential Distributed Energy Resources and its Impact on Aggregated Demand (2022) (0)
Policy transfer using Value Function as Prior Information (2016) (0)
Risk-Sensitive Policy with Distributional Reinforcement Learning (2022) (0)
Dynamic programming and reinforcement learning in large and contin- uous spaces (2017) (0)
Authentic ecology as an advanced stage of technological civilization (2019) (0)
A reinforcement learning approach for designing artificial autonomous intelligent agents (2008) (0)
On the efficiency of decentralized decision-making in self-dispatch power systems (2018) (0)
Round Table No 3. Industrial Solutions for Active Network Management (2019) (0)

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Damien Ernst is affiliated with the following schools:

University of Liège

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What Schools Are Affiliated With Damien Ernst?

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