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Item type:Publication, Access status: with files , Scheduling and pricing strategies for prosumers in a microgrid(2026)We analyze fundamental scheduling and pricing problems with applications in energy trading. We consider agents in microgrids, wishing to optimize their cost by strategically buying, selling and storing energy in a battery, to satisfy their demand. They plan over a finite time horizon, where energy prices and demand may continuously change. We model several variants of this problem, and provide algorithms whose performance we analyze both theoretically and experimentally.Publicationtype: Doctoral Thesis68 20 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Multiobjective compiler-based optimizations for hard real-time systems(2022-12); The thesis presents multiobjective compiler-based optimizations to find trade-offs between the worst-case execution time, energy consumption, and code size of hard real-time systems. It introduces a novel compiler-based compression technique guaranteeing that a compiled program satisfies its timing constraints. The thesis tackles timing issues caused by solving multiobjective problems by evolutionary algorithms at compile time. The thesis introduces a search space reduction technique and a prediction model based on machine learning to speed up the solution process.Publicationtype: Doctoral Thesis169 1143