collaborators

6 papers

math.OC2026

Robust Unit Commitment in District Heating Networks: Chance-Constrained and CVaR Optimization Under Demand Uncertainty

Annika Buchholz, Janina Zittel, Thorsten Koch

While district heating networks are a key component of the energy transition, their operational planning is challenging due to substantial uncertainty in heat demand. We address th…

math.OC2026

Benchmarking Realistic Synthetic Instances Against a Large-Scale District Heating Network: A Multi-Objective Optimization Study for Berlin

Annika Buchholz, Stephanie Riedmüller, Matthew Passage +1

Decarbonizing urban energy systems requires optimization approaches capable of handling the operational complexity of large-scale district heating networks. However, existing studi…

cs.DL2026

Reconnecting Fragmented Citation Networks with Semantic Augmentation

Vu Thi Huong, Annika Buchholz, Imene Khebouri +5

Citation graphs are fundamental tools for modeling scientific structure, but are often fragmented due to missing citations of scientifically connected articles. To address this iss…

math.OC2026

Computational acceleration strategies for large-scale energy system optimization: a comparative study of GPU-accelerated and distributed-memory solvers

Janina Zittel, Annika Buchholz, Michael Bussieck +5

Energy system optimization models are increasing in scope and resolution, yielding large and challenging linear programs. For a long time, the standard way to address such problems…

cs.CL2026

Mapping the Web of Science, a large-scale graph and text-based dataset with LLM embeddings

Tim Kunt, Annika Buchholz, Imene Khebouri +3

Large text data sets, such as publications, websites, and other text-based media, inherit two distinct types of features: (1) the text itself, its information conveyed through sema…

math.OC2025

Enhancing Multi-Energy Modeling: The Role of Mixed-Integer Optimization Decisions

Stephanie Riedmüller, Annika Buchholz, Janina Zittel

The goal to decarbonize the energy sector has led to increased research in modeling and optimizing multi-energy systems. One of the most promising techniques for modeling (multi-)e…