Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning. - Simone Totaro; Ioannis Boukas; Anders Jonsson 001; Bertrand Cornélusse (CoRR, 2020)

Learning optimal environments using projected stochastic gradient ascent. - Adrien Bolland; Ioannis Boukas; François Cornet; Mathias Berger; Damien Ernst (CoRR, 2020)

Probabilistic Forecasting of Imbalance Prices in the Belgian Context. - Jonathan Dumas; Ioannis Boukas; Miguel Manuel de Villena; Sébastien Mathieu; Bertrand Cornélusse (CoRR, 2021)

A deep reinforcement learning framework for continuous intraday market bidding. - Ioannis Boukas; Damien Ernst; Thibaut Théate; Adrien Bolland; Alexandre Huynen; Martin Buchwald; Christelle Wynants; Bertrand Cornélusse (Mach. Learn., 2021)

Financial Optimization of Renewable Energy Communities Through Optimal Allocation of Locally Generated Electricity. - Miguel Manuel de Villena; Samy Aittahar; Sebastien Mathieu; Ioannis Boukas; Eric Vermeulen; Damien Ernst (IEEE Access, 2022)

Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent. - Adrien Bolland; Ioannis Boukas; Mathias Berger; Damien Ernst (J. Artif. Intell. Res., 2022)

Exploiting the Flexibility Potential of Water Distribution Networks: A Pilot Project in Belgium. - Ioannis Boukas; Elodie Burtin; Antonio Sutera; Quentin Gemine; Bernard Pevee; Damien Ernst (IEEE Trans. Smart Grid, 2024)