Matthias Molenat, Jean Mahseredjian, Nasim Rashidirad et Antoine Lesage-Landry
Les modélisations pour l'écoulement de puissance des réseaux isolés supposent en général
des admittances de ligne constantes malgré les variations possible...
This poster conceptually lays out recent advances in trustworthy machine learning (ML) that are
of great interest for power systems applications like virtu...
In this work, we improve the efficiency of Unit Commitment (UC) optimization solvers using a Graph Convolutional Neural Network (GCNN). In power systems, UC ...