Optimal floating offshore wind farms for Mediterranean islands
In this work, we present several tools for efficient sequential hierarchical least-squares programming (S- HLSP) for lexicographical optimization tailored to robot control and planning. As its main step, S-HLSP relies on approximations of the original non-linear hierarchical least-squares programming (NL-HLSP) to a hierarchical least-squares progra...
The global market share of renewable electricity generation increased at an average compound rate of 15% between 2015 and 2020 and 348 GW in 2022 alone, which could result in a renewable share of 45% in energy generation by 2030 if the current trend continues. Therefore, action is required to reduce the number of suboptimal solutions resulting from...
Constraint Programming (CP) allows for the modelling and solving of a wide range of combinatorial problems. However, modelling such problems using constraints over decision variables still requires significant expertise, both in conceptual thinking and syntactic use of modelling languages. In this work, we explore the potential of using pre-trained...
We adopt an emerging and prominent vision of human-centred Artificial Intelligence that requires building trustworthy intelligent systems. Such systems should be capable of dealing with the challenges of an interconnected, globalised world by handling plurality and by abiding by human values. Within this vision, pluralistic value alignment is a cor...
Building an automatic search for a backend can ease the modelling experience in MiniZinc when solving optimisation problems. As such, the purpose of this thesis was to examine the potential of automatic search through a portfolio implemented into the classical constraint programming solver Gecode for MiniZinc. The implemented portfolio includes ele...
Background: The exponential increase in user equipment (UE) units within mobile networks necessitates more efficient Massive MIMOalgorithms. To address this demand, integrating artificial intelligence (AI) into various network aspects is gaining traction. Goal: This thesis explores the feasibility of employing a lightweight convolutional neural net...
peer reviewed / In this paper, we propose a multi-RREH (Remote Renewable Energy Hub) based optimization framework. This framework allows a valorization of CO2 using carbon capture technologies. This valorization is grounded on the idea that CO2 gathered from the atmosphere or post combustion can be combined with hydrogen to produce synthetic methan...
L'électrification des transports collectifs urbains, tels que le tramway, constitue un enjeu environnemental majeur. Les études technico-financières pour ces projets couvrent différents aspects de l'infrastructure, tels que le terrassement, les ouvrages d'art, les plateformes de voie ferrée, les bâtiments voyageurs, la technologie électrique, etc. ...