Comparative analysis of coordination strategies for electric vehicles. - Niels Leemput; Juan Van Roy; Frederik Geth; Peter Tant; Bert Claessens; Johan Driesen (ISGT Europe, 2011)

Insights in storage as a solution for local renewable electricity generation. - Grietus Mulder; Bert Claessens (Elektrotech. Informationstechnik, 2011)

Self-learning demand side management for a heterogeneous cluster of devices with binary control actions. - Bert Claessens; Stijn Vandael; Frederik Ruelens; Maarten Hommelberg (ISGT Europe, 2012)

A case study of coordinated electric vehicle charging for peak shaving on a low voltage grid. - Niels Leemput; Frederik Geth; Bert Claessens; Juan Van Roy; Raf Ponnette; Johan Driesen (ISGT Europe, 2012)

Demand side management of electric vehicles with uncertainty on arrival and departure times. - Frederik Ruelens; Stijn Vandael; Willem Leterme; Bert Claessens; Maarten Hommelberg; Tom Holvoet; Ronnie Belmans (ISGT Europe, 2012)

Peak shaving of a heterogeneous cluster of residential flexibility carriers using reinforcement learning. - Bert Claessens; Stijn Vandael; Frederik Ruelens; Klaas De Craemer; Bert Beusen (ISGT Europe, 2013)

Stochastic portfolio management of an electric vehicles aggregator under price uncertainty. - Frederik Ruelens; Sam Weckx; Willem Leterme; Stijn Vandael; Bert Claessens; Ronnie Belmans (ISGT Europe, 2013)

Double-layered control methodology combining price objective and grid constraints. - Sandro Iacovella; Frederik Geth; Frederik Ruelens; Niels Leemput; Pieter Vingerhoets; Geert Deconinck; Bert Claessens (SmartGridComm, 2013)

A Model-Free Flexibility Management System at KU Leuven and VITO. - Stijn Vandael; Bert Claessens; Tom Holvoet; Geert Deconinck (ERCIM News, 2013)

A Scalable Three-Step Approach for Demand Side Management of Plug-in Hybrid Vehicles. - Stijn Vandael; Bert Claessens; Maarten Hommelberg; Tom Holvoet; Geert Deconinck (IEEE Trans. Smart Grid, 2013)

Demand response of a heterogeneous cluster of electric water heaters using batch reinforcement learning. - Frederik Ruelens; Bert J. Claessens; Stijn Vandael; Sandro Iacovella; Pieter Vingerhoets; Ronnie Belmans (PSCC, 2014)

An Event-Driven Dual Coordination Mechanism for Demand Side Management of PHEVs. - Klaas De Craemer; Stijn Vandael; Bert Claessens; Geert Deconinck (IEEE Trans. Smart Grid, 2014)

A Flexible Stochastic Optimization Method for Wind Power Balancing With PHEVs. - Willem Leterme; Frederik Ruelens; Bert Claessens; Ronnie Belmans (IEEE Trans. Smart Grid, 2014)

Multiagent Charging of Electric Vehicles Respecting Distribution Transformer Loading and Voltage Limits. - Sam Weckx; Reinhilde D'Hulst; Bert Claessens; Johan Driesen (IEEE Trans. Smart Grid, 2014)

Experimental analysis of data-driven control for a building heating system. - Giuseppe Tommaso Costanzo; Sandro Iacovella; Frederik Ruelens; T. Leurs; Bert Claessens (CoRR, 2015)

Residential Demand Response Applications Using Batch Reinforcement Learning. - Frederik Ruelens; Bert Claessens; Stijn Vandael; Bart De Schutter; Robert Babuska; Ronnie Belmans (CoRR, 2015)

Learning Agent for a Heat-Pump Thermostat With a Set-Back Strategy Using Model-Free Reinforcement Learning. - Frederik Ruelens; Sandro Iacovella; Bert J. Claessens; Ronnie Belmans (CoRR, 2015)

Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market. - Stijn Vandael; Bert Claessens; Damien Ernst; Tom Holvoet; Geert Deconinck (IEEE Trans. Smart Grid, 2015)

Sequential decision-making strategy for a demand response aggregator in a two-settlement electricity market. - Frederik Ruelens; Bert J. Claessens; Ronnie Belmans; Geert Deconinck (ECC, 2016)

Toward coordinated robust allocation of reserve policies for a cell-based power system. - Junjie Hu 002; Kai Heussen; Bert Claessens; Lei Sun 007; Reinhilde D'Hulst (ISGT Europe, 2016)

Model-Free Control of Thermostatically Controlled Loads Connected to a District Heating Network. - Bert J. Claessens; Dirk Vanhoudt; Johan Desmedt; Frederik Ruelens (CoRR, 2017)

Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning. - Frederik Ruelens; Bert J. Claessens; Peter Vrancx; Fred Spiessens; Geert Deconinck (CoRR, 2017)

The use of distributed thermal storage in district heating grids for demand side management. - Dirk Vanhoudt; Bert Claessens; Robbe Salenbien; Johan Desmedt (CoRR, 2017)

Cluster Control of Heterogeneous Thermostatically Controlled Loads Using Tracer Devices. - Sandro Iacovella; Frederik Ruelens; Pieter Vingerhoets; Bert Claessens; Geert Deconinck (IEEE Trans. Smart Grid, 2017)

Residential Demand Response of Thermostatically Controlled Loads Using Batch Reinforcement Learning. - Frederik Ruelens; Bert J. Claessens; Stijn Vandael; Bart De Schutter; Robert Babuska; Ronnie Belmans (IEEE Trans. Smart Grid, 2017)

Convolutional Neural Networks for Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control. - Bert J. Claessens; Peter Vrancx; Frederik Ruelens (IEEE Trans. Smart Grid, 2018)

Reinforcement Learning Applied to an Electric Water Heater: From Theory to Practice. - Frederik Ruelens; Bert Claessens; Salman Quaiyum; Bart De Schutter; Robert Babuska; Ronnie Belmans (IEEE Trans. Smart Grid, 2018)

Techno-Economic Analysis and Optimal Control of Battery Storage for Frequency Control Services, Applied to the German Market. - Jonas Engels; Bert Claessens; Geert Deconinck (CoRR, 2019)

Combined Stochastic Optimization of Frequency Control and Self-Consumption With a Battery. - Jonas Engels; Bert Claessens; Geert Deconinck (IEEE Trans. Smart Grid, 2019)

Trajectory Tracking With an Aggregation of Domestic Hot Water Heaters: Combining Model-Based and Model-Free Control in a Commercial Deployment. - Mingxi Liu; Stef Peeters; Duncan S. Callaway; Bert J. Claessens (IEEE Trans. Smart Grid, 2019)

Grid-Constrained Distributed Optimization for Frequency Control With Low-Voltage Flexibility. - Jonas Engels; Bert Claessens; Geert Deconinck (IEEE Trans. Smart Grid, 2020)

Optimal Combination of Frequency Control and Peak Shaving With Battery Storage Systems. - Jonas Engels; Bert Claessens; Geert Deconinck (IEEE Trans. Smart Grid, 2020)

Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings. - Gargya Gokhale; Bert Claessens; Chris Develder (CoRR, 2021)

PhysQ: A Physics Informed Reinforcement Learning Framework for Building Control. - Gargya Gokhale; Bert Claessens; Chris Develder (CoRR, 2022)

Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System. - Gargya Gokhale; Jonas Van Gompel; Bert Claessens; Chris Develder (BuildSys, 2023)

Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households. - Gargya Gokhale; Niels Tiben; Marie-Sophie Verwee; Manu Lahariya; Bert Claessens; Chris Develder (BuildSys, 2023)

Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks. - Fabio Pavirani; Gargya Gokhale; Bert Claessens; Chris Develder (CoRR, 2023)

Multi-source Transfer Learning in Reinforcement Learning-based Home Battery Controller. - Seyed Soroush Karimi Madahi; Toon Van Puyvelde; Gargya Gokhale; Bert Claessens; Chris Develder (BuildSys, 2024)

Sample efficient reinforcement learning for building control: Leveraging physics informed latent representations. - Gargya Gokhale; Bert Claessens; Chris Develder (e-Energy, 2024)

Explainable Home Energy Management Systems based on Reinforcement Learning using Differentiable Decision Trees. - Gargya Gokhale; Bert Claessens; Chris Develder (e-Energy, 2024)

Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers. - Gargya Gokhale; Seyed Soroush Karimi Madahi; Bert Claessens; Chris Develder (e-Energy, 2024)

Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies. - Seyed Doroush Karimi Madahi; Gargya Gokhale; Marie-Sophie Verwee; Bert Claessens; Chris Develder (e-Energy, 2024)

Frequency Containment Reserve and Imbalance participation: a Battery-Integrated Reinforcement Learning Strategy. - Fabio Pavirani; Seyed Soroush Karimi Madahi; Bert Claessens; Chris Develder (e-Energy, 2024)

Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism. - Seyed Soroush Karimi Madahi; Bert Claessens; Chris Develder (CoRR, 2024)

Explainable Reinforcement Learning-based Home Energy Management Systems using Differentiable Decision Trees. - Gargya Gokhale; Bert Claessens; Chris Develder (CoRR, 2024)

Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies. - Seyed Soroush Karimi Madahi; Gargya Gokhale; Marie-Sophie Verwee; Bert Claessens; Chris Develder (CoRR, 2024)

Predicting and Publishing Accurate Imbalance Prices Using Monte Carlo Tree Search. - Fabio Pavirani; Jonas Van Gompel; Seyed Soroush Karimi Madahi; Bert Claessens; Chris Develder (CoRR, 2024)

Gaming Strategies in European Imbalance Settlement Mechanisms. - Seyed Soroush Karimi Madahi; Kenneth Bruninx; Bert Claessens; Chris Develder (CoRR, 2025)