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20222026
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math.OC2026

Powering the Future of AI: Navigating the Trade-offs for Europe's Energy Transition and Net-Zero Goals

Mohammad Hemmati, Gbemi Oluleye, Vassilis M. Charitopoulos

The rapid expansion of AI globally has led to the proliferation of energy-intensive hyperscale data centres (DCs), making them as a structurally challenging component in power syst…

math.OC20251 cited

Global and Robust Optimization for Non-Convex Quadratic Programs

Asimina Marousi, Vassilis M. Charitopoulos

This paper presents a novel algorithm integrating global and robust optimization methods to solve continuous non-convex quadratic problems under convex uncertainty sets. The propos…

math.OC2023

Stable optimisation-based scenario generation via game theoretic approach

Georgios L. Bounitsis, Lazaros G. Papageorgiou, Vassilis M. Charitopoulos

Systematic scenario generation (SG) methods have emerged as an invaluable tool to handle uncertainty towards the efficient solution of stochastic programming (SP) problems. The qua…

math.OC20231 cited

A multi-period game-theoretic approach to market fairness in oligopolies

Asimina Marousi, Karthik Thyagarajan, Jose M. Pinto +2

Contemporary process industries are constantly confronted with volatile market conditions that jeopardise their financial sustainability. While mature markets transition to oligopo…

math.OC2022

A data-driven uncertainty modelling and reduction approach for energy optimisation problems

Julien Vaes, Vassilis M. Charitopoulos

Taking uncertainty into account is crucial when making strategic decisions. To guard against the risk of adverse scenarios, traditional optimisation techniques incorporate uncertai…