3 papers
eess.SY2026
Double interior-point regularization for large-scale capacity expansion
Leonard Göke, Giovanni Sansavini
Capacity expansion is a key tool for planning future energy systems. However, weather-dependent generation and long-duration storage result in problem sizes that exceed the computa…
math.OC2025
Accurately modeling long-term storage with minimum representative hours in large-scale renewable energy systems
Jacob Mannhardt, Lukas Kunz, Giovanni Sansavini
Energy system optimization often relies on time series aggregation to ensure computational tractability. Aggregation generally loses the chronology of time steps, which renders the…
cs.LG2025
Wasserstein-based Kernel Principal Component Analysis for Clustering Applications
Alfredo Oneto, Blazhe Gjorgiev, Giovanni Sansavini
Many data clustering applications must handle objects that cannot be represented as vectors. In this context, the bag-of-vectors representation describes complex objects through di…