Hydropower generation fulfills 94% of Québec’s electricity needs, making efficient Short-Term Hydropower Scheduling (STHS) critical for daily operations. Thi...

High penetrations of variable renewable energy introduce significant resource adequacy challenges, particularly when weather-driven uncertainty affects renew...

Lithium-ion batteries (LIBs) are currently the core energy storage component of electric vehicles (EVs). Real-time, accurate, and robust state-of-charge (SO...

Accurate estimation of metal accumulation in electric arc furnaces (EAFs) is critical for maintaining stable ferrosilicon (FeSi) production and ensuring effe...

We consider the penalized security-constrained optimal power flow (SCOPF) problem in a linearized form where thermal line limits are enforced as soft constr...

Wind power generation represents one of the main resources of modern renewable power systems. Its deployment is governed by numerous factors, e.g., weather p...

Predicting the state of the weather, from tracking hurricanes and thunderstorms to assessing daily temperatures, is of crucial importance. Over the past deca...

As fast-charging demand grows, ensuring the operational resilience of electric vehicle (EV) infrastructure under congestion becomes a key challenge in large-...

In this work, we tackle the optimal energy trading~(OET) problem in distribution grids with a large number of prosumer households. We first introduce a clust...

The Batch Pan Scheduling Problem represents a major operational challenge in white sugar refineries, where production planning must balance throughput object...

This work studies constrained blackbox optimization problems that cannot be solved in reasonable time due to prohibitive computational costs. This challenge...

Integer (linear) programs are a standard way of formalizing a vast array of optimization problems in industry, services, management, science, and technology....

This paper presents a transmission expansion planning framework that couples Benders decomposition with an operational layer based on a semidefinite programm...

We introduce method iR2N, a modified proximal quasi-Newton method for minimizing the sum of a \(\mathcal{C}^1\) function \(f\) and a lower semi-continuou...

This multi-model analysis examines the prospects of hydrogen in the Canadian and German energy systems, and particularly of hydrogen exports from Canada to...

In this paper, a new deterministic model is developed for the real-time optimization of microgrids with diesel gensets and battery energy storage systems. Th...

This work presents a case study where four well-known derivative-free solvers are benchmarked on several instances based on the \(\textsf{solar}\) suite of...

Effective waste rock management is a crucial aspect of long-term mine planning and production scheduling. When waste management is not considered during th...

We examine the abatement investment and pricing decisions within a supply chain where consumers prioritize environmental performance. The product's green r...

Dealing with climate change requires that all countries engage in costly efforts to reduce their emissions. Reaching this objective has so far been elusive...