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20092025
most citedStochastic optimal control of a domestic microgrid equipped with solar panel and battery

5 citations · 12 across the 21 of their papers we have counts for

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24 papers · 1 filter

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.OC2025

A Production Routing Problem with Mobile Inventories

Raian Lefgoum, Sezin Afsar, Pierre Carpentier +2

Hydrogen is an energy vector, and one possible way to reduce CO 2 emissions. This paper focuses on a hydrogen transport problem where mobile storage units are moved by trucks betwe…

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…

math.OC2024

Multistage stochastic optimization of a mono-site hydrogen infrastructure by decomposition techniques

Raian Lefgoum, Sezin Afsar, Pierre Carpentier +2

The development of hydrogen infrastructures requires to reduce their costs. In this paper, we develop a multistage stochastic optimization model for the management of a hydrogen in…

math.OC2023

Decomposition Methods for Dynamically Monotone Two-Time-Scale Stochastic Optimization Problems

Tristan Rigaut, Pierre Carpentier, Jean-Philippe Chancelier +1

In energy management, it is common that strategic investment decisions (storage capacity, production units) are made at a slow time scale, whereas operational decisions (storage, p…

math.OC2023

Contributions on complexity bounds for Deterministic Partially Observed Markov Decision Process

Cyrille Vessaire, Jean-Philippe Chancelier, Michel de Lara +2

Markov Decision Processes (Mdps) form a versatile framework used to model a wide range of optimization problems. The Mdp model consists of sets of states, actions, time steps, rewa…