4 papers
Generative Robust Optimisation
Yuhui Yin, Vassilis M. Charitopoulos
Classical uncertainty sets for robust optimisation impose fixed geometric shapes that cannot represent the complex dependencies present in real-world data. We propose Generative Ro…
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…
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…
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…