activity
20232026
most citedRemote Renewable Energy Hubs: a Taxonomy

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

collaborators

5 papers

math.OC2026

Analyzing changes in optimal variables in linear programming with uncertain parameters

Baptiste Istace, Guillaume Derval, Bardhyl Miftari +1

Linear problems often include many parameters that may be uncertain. Sensitivity analysis studies how these parameters impact optimal values. Instead of analyzing the objective fun…

eess.SY2025★ 3 cited

Remote Renewable Energy Hubs: a Taxonomy

Victor Dachet, Antoine Dubois, Bardhyl Miftari +2

Serving the energy demand with renewable energy is hindered by its limited availability near load centres (i.e. places where the energy demand is high). To address this challenge,…

math.OC2025

Efficient LP warmstarting for linear modifications of the constraint matrix

Guillaume Derval, Bardhyl Miftari, Damien Ernst +1

We consider the problem of computing the optimal solution and objective of a linear program under linearly changing linear constraints. The problem studied is given by $\min c^t x…

math.OC2024

Sensitivity analysis for linear changes of the constraint matrix of a (mixed-integer) linear program

Guillaume Derval, Damien Ernst, Quentin Louveaux +1

Understanding how the optimal value of an optimisation problem changes when its input data is modified is an old question in mathematical optimisation. This paper investigates the…

math.OC2023

Reinforcement Learning for Joint Design and Control of Battery-PV Systems

Marine Cauz, Adrien Bolland, Bardhyl Miftari +3

The decentralisation and unpredictability of new renewable energy sources require rethinking our energy system. Data-driven approaches, such as reinforcement learning (RL), have em…