collaborators

6 papers

eess.SY2026

Enhancing Power Systems Transmission Adequacy via Optimal BESS Siting and Sizing using Benders Decomposition with Feasibility Cuts

Ginevra Larroux, Matthieu Jacobs, Keyu Jia +2

This work presents a general framework for the operationally driven optimal siting and sizing of battery energy storage systems in power transmission networks, aimed at enhancing t…

eess.SY2026

On the Tightness of the Second-Order Cone Relaxation of the Optimal Power Flow with Angles Recovery in Meshed Networks

Ginevra Larroux, Matthieu Jacobs, Mario Paolone

This letter investigates properties of the second-order cone relaxation of the optimal power flow (OPF) problem, with emphasis on relaxation tightness, nodal voltage angles recover…

eess.SY2026

Probabilistic Flexibility Aggregation of DERs for Ancillary Services Provision

Matthieu Jacobs, Mario Paolone

This paper presents a grid-aware probabilistic approach to compute the aggregated flexibility at the grid connection point (GCP) of active distribution networks (ADNs) to allow the…

eess.SY2026

Power Reserve Procurement Considering Dependent Random Variables with PCE

Nicola Ramseyer, Matthieu Jacobs, Mario Paolone

This paper presents an approach for the modelling of dependent random variables using generalised polynomial chaos. This allows to write chance-constrained optimization problems wi…

eess.SY2025

Empowering Prosumers: Incentive Design for Local Electricity Markets Under Generalized Uncertainty and Grid Constraints

PÃ¥l Forr Austnes, Matthieu Jacobs, Lu Wang +1

Since the 1990s, widespread introduction of central (wholesale) electricity markets has been seen across multiple continents, driven by the search for efficient operation of the po…

stat.ML2025

Robustness of Nonlinear Representation Learning

Simon Buchholz, Bernhard Schölkopf

We study the problem of unsupervised representation learning in slightly misspecified settings, and thus formalize the study of robustness of nonlinear representation learning. We…