Publications from GERAD

The fruit of our labor

Cahiers du GERAD

Collection of technical reports and working papers, testimony to the strength and productivity of our group.

Scientific Publications

Repository of all the categories of scientific publications produced by our members over the years.

Newsletter

Semi-annual magazine popularizing scientific research carried out by our members and summary of our recent activities.

Recent Cahiers

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G-2026-37 Managing short-term hydropower production with a multi-agent reinforcement learning model
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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...

G-2026-36 Stochastic capacity accreditation: Incentivizing resource adequacy under weather uncertainty
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High penetrations of variable renewable energy introduce significant resource adequacy challenges, particularly when weather-driven uncertainty affects renew...

G-2026-35 Parallel versions of the mesh adaptive direct search algorithm
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This work surveys the different parallel variants of the mesh adaptive direct search (MADS) algorithm for constrained blackbox optimization. These problems c...

G-2026-34 Distributionally robust extended Kalman filtering for lithium-ion battery state-of-charge estimation
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Lithium-ion batteries (LIBs) are currently the core energy storage component of electric vehicles (EVs). Real-time, accurate, and robust state-of-charge (SO...

G-2026-24 An improved approximation of metal accumulation in electric arc furnaces for ferrosilicon production
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Accurate estimation of metal accumulation in electric arc furnaces (EAFs) is critical for maintaining stable ferrosilicon (FeSi) production and ensuring effe...

Recent Scientific Publications

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book

Pricing in the Age of AI

proceedings

Optimized FIR-Kalman Architecture for Differentially Private Event Stream Filtering
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proceedings

LQG Mean Field Games with Covariance-Matrix-Dependent Cost Coefficients
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proceedings

Data-Driven Network LQG Mean Field Games with Heterogeneous Populations via Integral Reinforcement Learning
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