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
Stochastic capacity accreditation: Incentivizing resource adequacy under weather uncertainty
High penetrations of variable renewable energy introduce significant resource adequacy challenges, particularly when weather-driven uncertainty affects renew...
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Hydropower generation fulfills 94% of Québec’s electricity needs, making efficient Short-Term Hydropower Scheduling (STHS) critical for daily operations. Thi...
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This paper introduces IPNSDP, a MATLAB solver for general Nonlinear Semidefinite Programming (NSDP) based on a second-order interior point method. Unlike lin...
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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. They were advised by Miguel F. Anjos, Professor at the University of Edinburgh.
Events
Miguel F. Anjos – Professor, School of Mathematics, University of Edinburgh
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
