
Luca Santosuosso
11
Documents
Affiliation actuelle
- Graz University of Technology [Graz] (TU Graz)
Identifiants chercheurs
Présentation
Luca Santosuosso obtained a Bachelor's degree in Computer Engineering from Roma Tre University in July 2019 and a Master's degree in Control Engineering from Sapienza University of Rome in October 2021. He completed his Ph.D. in Energy and Processes at Mines Paris – PSL in January 2025, where he also worked as a research engineer in 2021 on the European Horizon 2020 project Smart4RES. In 2024, he was a visiting PhD student at DTU Wind and Energy Systems. Since February 2025, he has been a postdoctoral researcher at Graz University of Technology. His research focuses on optimization and control, with applications to energy systems.
Publications
Publications
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Stochastic Economic Model Predictive Control for Trading Energy and Ancillary Services with StorageSustainable Energy, Grids and Networks, 2024, pp.101373. ⟨10.1016/j.segan.2024.101373⟩
Article dans une revue
hal-03641708
v1
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Distributed Economic Model Predictive Control for the Joint Energy Dispatch of Wind Farms and Run-of-the-River Hydropower PlantsElectric Power Systems Research, 2024, 235, pp.110805. ⟨10.1016/j.epsr.2024.110805⟩
Article dans une revue
hal-04533201
v1
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Optimization of large-scale virtual power plants integrating wind farmsWindEurope Annual Event 2023, Apr 2023, Copenhagen, Denmark. 2023
Poster de conférence
hal-04162057
v1
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Run-of-river hydropower to improve the market value of wind: A case study in FranceWind Europe Technology Workshop 2023 - Resource Assessment & Analysis of Operating Wind Farms, Jun 2022, Lyon, France. 2023
Poster de conférence
hal-04917973
v1
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Optimal Virtual Power Plant Investment Planning via Time Series Aggregation with Bounded Error2025
Pré-publication, Document de travail
hal-05049393
v1
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Lyapunov-Based Online Optimal Control of a Class of Cascaded Systems with an Infinite Horizon Time-Average Performance Guarantee2025
Pré-publication, Document de travail
hal-04994920
v2
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A Scenario-Spatial Decomposition Approach With a Performance Guarantee for the Combined Bidding of Cascaded Hydropower and Renewables2024
Pré-publication, Document de travail
hal-04738929
v1
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