Bert Claessens

Orcid: 0009-0006-6116-1483

According to our database1, Bert Claessens authored at least 40 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Explainable Reinforcement Learning-based Home Energy Management Systems using Differentiable Decision Trees.
CoRR, 2024

Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers.
CoRR, 2024

Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism.
CoRR, 2024

2023
Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks.
CoRR, 2023

Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

2022
PhysQ: A Physics Informed Reinforcement Learning Framework for Building Control.
CoRR, 2022

2021
Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings.
CoRR, 2021

2020
Optimal Combination of Frequency Control and Peak Shaving With Battery Storage Systems.
IEEE Trans. Smart Grid, 2020

Grid-Constrained Distributed Optimization for Frequency Control With Low-Voltage Flexibility.
IEEE Trans. Smart Grid, 2020

2019
Trajectory Tracking With an Aggregation of Domestic Hot Water Heaters: Combining Model-Based and Model-Free Control in a Commercial Deployment.
IEEE Trans. Smart Grid, 2019

Combined Stochastic Optimization of Frequency Control and Self-Consumption With a Battery.
IEEE Trans. Smart Grid, 2019

Techno-Economic Analysis and Optimal Control of Battery Storage for Frequency Control Services, Applied to the German Market.
CoRR, 2019

2018
Reinforcement Learning Applied to an Electric Water Heater: From Theory to Practice.
IEEE Trans. Smart Grid, 2018

Convolutional Neural Networks for Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control.
IEEE Trans. Smart Grid, 2018

2017
Residential Demand Response of Thermostatically Controlled Loads Using Batch Reinforcement Learning.
IEEE Trans. Smart Grid, 2017

Cluster Control of Heterogeneous Thermostatically Controlled Loads Using Tracer Devices.
IEEE Trans. Smart Grid, 2017

The use of distributed thermal storage in district heating grids for demand side management.
CoRR, 2017

Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning.
CoRR, 2017

Model-Free Control of Thermostatically Controlled Loads Connected to a District Heating Network.
CoRR, 2017

2016
Toward coordinated robust allocation of reserve policies for a cell-based power system.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016

Sequential decision-making strategy for a demand response aggregator in a two-settlement electricity market.
Proceedings of the 15th European Control Conference, 2016

2015
Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market.
IEEE Trans. Smart Grid, 2015

Learning Agent for a Heat-Pump Thermostat With a Set-Back Strategy Using Model-Free Reinforcement Learning.
CoRR, 2015

Residential Demand Response Applications Using Batch Reinforcement Learning.
CoRR, 2015

Experimental analysis of data-driven control for a building heating system.
CoRR, 2015

2014
Multiagent Charging of Electric Vehicles Respecting Distribution Transformer Loading and Voltage Limits.
IEEE Trans. Smart Grid, 2014

A Flexible Stochastic Optimization Method for Wind Power Balancing With PHEVs.
IEEE Trans. Smart Grid, 2014

An Event-Driven Dual Coordination Mechanism for Demand Side Management of PHEVs.
IEEE Trans. Smart Grid, 2014

Demand response of a heterogeneous cluster of electric water heaters using batch reinforcement learning.
Proceedings of the 2014 Power Systems Computation Conference, 2014

2013
A Scalable Three-Step Approach for Demand Side Management of Plug-in Hybrid Vehicles.
IEEE Trans. Smart Grid, 2013

A Model-Free Flexibility Management System at KU Leuven and VITO.
ERCIM News, 2013

Double-layered control methodology combining price objective and grid constraints.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Stochastic portfolio management of an electric vehicles aggregator under price uncertainty.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

Peak shaving of a heterogeneous cluster of residential flexibility carriers using reinforcement learning.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

2012
Demand side management of electric vehicles with uncertainty on arrival and departure times.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012

A case study of coordinated electric vehicle charging for peak shaving on a low voltage grid.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012

Self-learning demand side management for a heterogeneous cluster of devices with binary control actions.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012

2011
Insights in storage as a solution for local renewable electricity generation.
Elektrotech. Informationstechnik, 2011

Comparative analysis of coordination strategies for electric vehicles.
Proceedings of the 2nd IEEE PES International Conference and Exhibition on "Innovative Smart Grid Technologies", 2011


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