collaborators

8 papers

math.OC2026

Unlocking the Informational Value of Marginal Costs for Exact Time Series Aggregation in Generation Expansion Planning

Luca Santosuosso, Sonja Wogrin

This paper addresses the generation expansion planning (GEP) problem, formulated as a mixed-integer linear programming model with intertemporal storage constraints. Being generally…

math.OC2026

Distributed Stochastic Model Predictive Control with Temporal Aggregation for the Joint Dispatch of Cascaded Hydropower and Renewables

Luca Santosuosso, Sonja Wogrin

This paper addresses the real-time energy dispatch of a hybrid system comprising cascaded run-of-the-river hydropower plants, wind, and solar photovoltaic units, operated under unc…

math.OC2026

Machine Learning for Exact Time Series Aggregation in Generation Expansion Planning with Energy Storage

Jakub Rybka, Luca Santosuosso, Thomas Klatzer +1

This paper investigates a generation expansion planning (GEP) problem encompassing renewable, thermal, and storage technologies while simultaneously optimizing market participation…

math.OC2026

Stochastic Virtual Power Plant Dispatch via Temporally Aggregated Distributed Predictive Control with Performance Guarantees

Luca Santosuosso, Fei Teng, Sonja Wogrin

This paper addresses the energy dispatch of a virtual power plant comprising renewable generation, energy storage, and thermal units under uncertainty in renewable output, energy p…

math.OC2026

Towards Exact Temporal Aggregation of Time-Coupled Energy Storage Models via Active Constraint Set Identification and Machine Learning

Thomas Klatzer, David Cardona-Vasquez, Luca Santosuosso +1

Time series aggregation (TSA) aims to construct temporally aggregated optimization models that accurately represent the output space of their full-scale counterparts while using a…

math.OC2025

A Scenario-Spatial Decomposition Approach With a Performance Guarantee for the Combined Bidding of Cascaded Hydropower and Renewables

Luca Santosuosso, Simon Camal, Arthur Lett +3

This study develops a scalable co-optimization strategy for the joint bidding of cascaded hydropower, wind, and solar energy units, treated as a unified entity in the day-ahead mar…