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 ...
Feng Li, Élodie Campeau, Ilhan Kocar, and Antoine Lesage-Landry
In this work, we propose a non-intrusive and training free method to detect behind-the-meter (BTM) electric vehicle (EV) charging events from the data measur...
We are pleased to announce that professors Charles Audet, Pierre Baptiste, Leandro Coehlo, Franklin Djeumou Fomeni, Issmail El Hallaoui, Michael Kokkolaras, Antoine Legrain, Antoine Lesage-Landry and Djamal Rebaine, will be awarded a $6,000 grant for the co-supervision of their student submitted to the Co-supervised Graduate Research Grants Competition.