We present optimization models that simultaneously determine ship path, speed profile, and hybrid power system operations. Our approach integrates solar phot...

The field of Blackbox Optimization (BBO) lacks publicly available realistic engineering benchmark problems. This work proposes Micro-PRIAD, a collection of...

This document contains the complete geometric derivations and analytical proofs supporting the results stated and used in the main manuscript. Results that ...

Large-scale distributed wireless networks that offer connectivity through multi-hop communication are considered for infrastructure-free, cost-effective conn...

Ridesharing systems that reflect user preferences are critical for promoting adoption, improving efficiency, and supporting sustainable urban mobility. This ...

Electricity planning has increasingly accounted for distributed renewable energy resources (DREs) and active consumer participation. However, existing planni...

An efficient and accurate evaluation of feature importance method for artificial intelligent and machine learning models without high computational costs is ...

Accurate reconstruction of high-resolution hydrological forcing fields from sparse station observations remains challenging, particularly in poorly instrumen...

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

Managing electric bus (EB) fleets at scale introduces operational challenges that differ fundamentally from those of conventional fuel-powered fleets. A main...

This work introduces ADS-PB, an extension of the Adaptive Direct Search (ADS) framework for solving constrained blackbox optimization problems. With ADS, it...

Heavy-duty vehicles (HDVs) are a major source of road transportation emissions, yet their electrification remains challenging due to operational constraints....

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

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

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...

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

Task offloading in edge computing becomes significantly more challenging when applications are modeled as Directed Acyclic Graphs (DAGs), where task dependen...

To meet the increasing demand for low-latency processing in mobile and IoT devices, edge computing offloads user application tasks to nearby cloudlets (edge ...

We investigate a state estimation problem for a linear time-invariant Gaussian system, based on a measured scalar privacy-sensitive signal. This is formulate...