7 citations · 8 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Minimum-regret hydrogen supply chain strategies to foster the energy transition of European hard-to-abate industries
Alissa Ganter, Paolo Gabrielli, Hanne Goericke +1
Low-carbon hydrogen (H2) is envisioned to play a central role in decarbonizing European hard-to-abate industries, such as refineries, ammonia, methanol, steel, and cement. To enabl…
Funplex: A Modified Simplex Algorithm to Efficiently Explore Near-Optimal Spaces
Christoph S. Funke, Linda Brodnicke, Francesco Lombardi +1
Modeling to generate alternatives (MGA) is an increasingly popular method in energy system optimization. MGA explores the near-optimal space, namely, system alternatives whose cost…