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20182024
most citedControlling Microgrids Without External Data: A Benchmark of Stochastic Programming Methods

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2024★ 1 cited

Controlling Large Electric Vehicle Charging Stations via User Behavior Modeling and Stochastic Programming

Alban Puech, Tristan Rigaut, William Templier +1

This paper introduces an Electric Vehicle Charging Station (EVCS) model that incorporates real-world constraints, such as slot power limitations, contract threshold overruns penalt…

math.OC2023★ 2 cited

Controlling Microgrids Without External Data: A Benchmark of Stochastic Programming Methods

Alban Puech, Tristan Rigaut, Adrien Le Franc +6

Microgrids are local energy systems that integrate energy production, demand, and storage units. They are generally connected to the regional grid to import electricity when local…

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.OC2018

Time Blocks Decomposition of Multistage Stochastic Optimization Problems

Pierre Carpentier, Jean-Philippe Chancelier, Michel de Lara +2

Multistage stochastic optimization problems are, by essence, complex as their solutions are indexed both by stages and by uncertainties. Their large scale nature makes decompositio…

math.OC2018

Stochastic Optimization of Braking Energy Storage and Ventilation in a Subway Station

Tristan Rigaut, Pierre Carpentier, Jean Philippe Chancelier +2

In the Paris subway system, stations represent about one third of the overall energy consumption. Within stations, ventilation is among the top consuming devices; it is operated at…