Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems by Robin Henry, Damien Ernst

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Risk-Sensitive Policy with Distributional Reinforcement Learning by Thibaut Théate, Damien Ernst

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Matching of everyday power supply and demand with dynamic pricing: Problem formalisation and conceptual analysis by Thibaut Théate, Antonio Sutera, Damien Ernst

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An Artificial Intelligence Solution for Electricity Procurement in Forward Markets by Thibaut Théate, Sébastien Mathieu, Damien Ernst

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A bio-inspired bistable recurrent cell allows for long-lasting memory. by Nicolas Vecoven, Damien Ernst, Guillaume Drion

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Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments by Michaël Fonder, Damien Ernst, Marc Van Droogenbroeck

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Optimal control of renewable energy communities with controllable assets by Samy Aittahar, Miguel Manuel de Villena, Guillaume Derval, Michael Castronovo, Ioannis Boukas, Quentin Gemine, Damien Ernst, Damien Ernst

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Benchmarking for Bayesian Reinforcement Learning. by Michael Castronovo, Damien Ernst, Adrien Couëtoux, Raphael Fonteneau

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Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies by Milad Rahimipour Behbahani, Alireza Jalilian, Alireza Bahmanyar, Damien Ernst

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Evaluating the Evolution of Distribution Networks under Different Regulatory Frameworks with Multi-Agent Modelling by Miguel Manuel de Villena, Raphael Fonteneau, Axel Gautier, Damien Ernst

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Extended Equal Area Criterion Revisited: A Direct Method for Fast Transient Stability Analysis by Alireza Bahmanyar, Damien Ernst, Yves Vanaubel, Quentin Gemine, Camille Pache, Patrick Panciatici

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Financial Optimization of Renewable Energy Communities Through Optimal Allocation of Locally Generated Electricity by Miguel Manuel De Villena, Samy Aittahar, Sebastien Mathieu, Ioannis Boukas, Eric Vermeulen, Damien Ernst

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