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)

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)

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)

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

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)

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)

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)

AMPeD: An Analytical Model for Performance in Distributed Training of Transformers. - Diksha Moolchandani; Joyjit Kundu; Frederik Ruelens; Peter Vrancx; Timon Evenblij; Manu Perumkunnil (ISPASS, 2023)