Optimizing The Location Of Charging Infrastructure For Future Expansion Of ElectricVehicle In Sao Paulo, Brazil. - Evaldo Costa; Lieselot Vanhaverbeke; Thierry Coosemans; Júlia Seixas; Maarten Messagie; Gustavo Costa (ISC2, 2019)

Model-predictive control and reinforcement learning in multi-energy system case studies. - Glenn Ceusters; Román Cantú Rodríguez; Alberte Bouso García; Rüdiger Franke; Geert Deconinck; Lieve Helsen; Ann Nowé; Maarten Messagie; Luis Ramirez Camargo (CoRR, 2021)

Evolutionary Scheduling of University Activities Based on Consumption Forecasts to Minimise Electricity Costs. - Julian Ruddick; Evgenii Genov; Luis Ramirez Camargo; Thierry Coosemans; Maarten Messagie (CEC, 2022)

Safe reinforcement learning for multi-energy management systems with known constraint functions. - Glenn Ceusters; Luis Ramirez Camargo; Rüdiger Franke; Ann Nowé; Maarten Messagie (CoRR, 2022)

Flexibility Valorization in Energy Communities: Grid Constraints Impact and Mitigation. - Muhammad Andy Putratama; Rémy Cleenwerck; Jan Desmet; Maarten Messagie; Thierry Coosemans (ISGT EUROPE, 2023)

Safe reinforcement learning with self-improving hard constraints for multi-energy management systems. - Glenn Ceusters; Muhammad Andy Putratama; Rüdiger Franke; Ann Nowé; Maarten Messagie (CoRR, 2023)

Predict. Optimize. Revise. On Forecast and Policy Stability in Energy Management Systems. - Evgenii Genov; Julian Ruddick; Christoph Bergmeir; Majid Vafaeipour; Thierry Coosemans; Salvador Garcia; Maarten Messagie (CoRR, 2024)

Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems. - Julian Ruddick; Glenn Ceusters; Gilles Van Kriekinge; Evgenii Genov; Thierry Coosemans; Maarten Messagie (CoRR, 2024)

TreeC: A method to generate interpretable energy management systems using a metaheuristic algorithm. - Julian Ruddick; Luis Ramirez Camargo; Muhammad Andy Putratama; Maarten Messagie; Thierry Coosemans (Knowl. Based Syst., 2025)