output
20192025
most citedReinforcement learning for Energies of the future and carbon neutrality: a Challenge Design

2 citations

5 papers

math.OC2025

Temporal and Spatial Decomposition for Prospective Studies in Energy Systems under Uncertainty

Camila Martinez Parra, Michel de Lara, Jean-Philippe Chancelier +2

The increasing penetration of renewable energy requires greater use of storage resources to manage system intermittency. As a result, there is growing interest in evaluating the op…

math.OC2024

A Two-Timescale Decision-Hazard-Decision Formulation for Storage Usage Values Calculation

Camila Martinez Parra, Michel de Lara, Jean-Philippe Chancelier +3

The penetration of renewable energies requires additional storages to deal with intermittency. Accordingly, there is growing interest in evaluating the opportunity cost (usage valu…

cs.AI2022★ 2 cited

Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design

Gaëtan Serré, Eva Boguslawski, Benjamin Donnot +3

Current rapid changes in climate increase the urgency to change energy production and consumption management, to reduce carbon and other green-house gas production. In this context…

cs.LG2022★ 1 cited

A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic Regression

Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant

In recent years, symbolic regression has been of wide interest to provide an interpretable symbolic representation of potentially large data relationships. Initially circled to gen…

math.OC2019

A Julia Module for Polynomial Optimization with Complex Variables applied to Optimal Power Flow

Julie Sliwak, Manuel Ruiz, Miguel F. Anjos +2

Many optimization problems in power transmission networks can be formulated as polynomial problems with complex variables. A polynomial optimization problem with complex variables…