Miguel F. Anjos
Associated member, GERAD

Professor, School of Mathematics, University of Edinburgh
Other titles and affiliations
Research Axes
Research Applications
Publications
Optimizing strategies for short-term hydropower scheduling using a blackbox optimization framework
This paper presents a study on the best possible use of optimization models for the short-term hydropower scheduling problem. Different deterministic and sto...
BibTeX reference
For planning the operation of power transmission systems, which transport the energy produced by generation plants to customers centers, it is essential to e...
BibTeX reference
This paper studies the properties of a stochastic optimization model for the short-term hydropower generation problem with uncertain inflows. The uncertaint...
BibTeX referenceNews
Title: A Data-Driven Approach in Revenue Management Problem with Behavioral Considerations
Title: Schémas de valorisation économique de grands ensembles de chauffe-eau électriques coordonnés par un agrégateur au sein d'un réseau intelligent
Title: Optimisation du déséquilibre de phase sur un réseau de distribution via la gestion de la demande
Events
Miguel F. Anjos – Professor, School of Mathematics, University of Edinburgh
Elizaveta Kuznetsova – IVADO - Institute for Data Valorization
Josh Taylor – University of Toronto
Prizes and awards
Canada Research Chair in Discrete Nonlinear Optimization in Engineering
NSERC-Hydro-Quebec-Schneider Electric Industrial Research Chair on Optimization for the Smart Grid
Inria International Chair on Power Peak Minimization for the Smart Grid
Finaliste pour le prix du meilleur article dans le domaine des systèmes énergétiques lors de la conférence annuelle IISE 2021
"Increasing Electric Vehicle Adoption Through the Optimal Deployment of Fast-Charging Stations for Local and Long-Distance Travel"Winner of the MOPTA 2020 Competition
"A Solution Approach for Multi-Trip Vehicle Routing Problems with Time Windows, Fleet Sizing, and Depot Location"First prize in the 2019 CORS Student Paper Competition
"Tight-and-Cheap Conic Relaxation for the AC Optimal Power Flow Problem" (with S. Le Digabel and C. Bingane)Queen Elizabeth II Diamond Jubilee Medal
Supervision

