Reinforcement learning for electrical markets and the energy transition Algorithms for the control and sizing of renewable energy communities AI for energy: a bright and uncertain future ahead Extreme engineering for fighting climate change and the Katabata project Ex-post allocation of electricity and real-time control strategy for renewable energy communities Big infrastructures for fighting climate change Harvesting wind energy in Greenland: a project for Europe and a huge step towards the building a global electrical grid Décret favorisant le développement des communautés d’énergie renouvelable Harnessing the Potential of Power-to-Gas Technologies. Insights from a preliminary analysis focused on Belgium Reinforcement learning, energy systems and deep neural nets Soirée des Grands Prix SEE - A glimpse at the research work of the laureate of the Blondel Medal 2018 - Prof. Damien ERNST Reinforcement learning for data-driven optimisation Electricity retailing in Europe: remarkable events (with a special focus on Belgium) Projet de décret « GRD »: quelques remarques du Prof. Damien ERNST Belgian offshore wind potential 
