Data valorization and robust optimization to guide the energy transition towards smart grids with a strong renewable component (VORTEX)


IVADO (institute for data valorization) funding program for fundamental research (Prof. Olivier Bahn, HEC Montréal, Canada)

Bringing together world-renowned experts in operational research, this project proposes a complex linkage of models operating at increasing time scales (day, week, month, years) and other mathematical tools (machine learning, robust optimization) for reasoned management of the transition to smart electricity grids with a high renewable component. Demand response becomes an essential component of the system for smoothing supply-demand imbalances, but complex to model as it involves the individual decisions of a very large number of agents. It collaborates to the development of a long-term prospective analysis tool (ETEM-SG) for the regional energy systems of the Montréal Metropolitan Community, with options offered by smart grids including demand response.

Other projects in this category


Energy Modeling Forum – EMF 37: high electrification scenarios for North America

Funding from the H3Hub at HEC Montréal (Canada)


Modelling and decision-making practices for transportation and climate policy – Quebec, Ontario, Vermont and California

Funding from the joint clean climate transport research partnership. Partnership Development Grants (Prof Mark Purdon, University of Quebec in Montreal).


Reduction of carbon dioxide emissions by replacing Portland cement with carbonation-activated slag

Funding from nature and technologies research fund of the Government of Quebec (Prof. Shao, McGill University, Canada)