Miguel F. Anjos
Associated member, GERAD
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Professor, School of Mathematics, University of Edinburgh
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Research Axes
Research Applications
Publications
In this report, we present our winning solution to the 16th AIMMS-MOPTA Optimization Modeling Competition on whether a fully renewable energy grid would bene...
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The increasing penetration of renewable electricity generation as well as the implementation of demand response programs has led to new challenges in the ope...
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We consider a provider of electric vehicle charging that operates a network of charging stations and uses time-varying pricing to maximize profit and reduce ...
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Congratulations to the Edinburgh team, formed of Bárbara Rodrigues, Denise Cariaga Sandoval, and Daniel Kopisitskiy, on winning the Modelling and Optimisation: Theory and Applications (MOPTA) Competition 2024`~(https://coral.ise.lehigh.edu/~mopta/competition). They were advised by Miguel F. Anjos, Professor at the University of Edinburgh.
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
Events
Miguel F. Anjos – Professor, School of Mathematics, University of Edinburgh
Elizaveta Kuznetsova – IVADO - Research, training and knowledge mobilization consortium in artificial intelligence
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
