activity
20242026
collaborators

5 papers

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…

math.OC2026

Optimizing Travel Time and Regenerative Energy for Periodic Timetables

Sarah Roth, Sven Jäger, Niels Lindner +1

Regenerating braking energy is one major pathway to make rail traffic energy-efficient. It is therefore desirable to design timetables that exploit this feature. However, timetable…

math.OC2025

Integrated Wind Farm Design: Optimizing Turbine Placement and Cable Routing with Wake Effects

Jaap Pedersen, Niels Lindner, Daniel Rehfeldt +1

An accelerated deployment of renewable energy sources is crucial for a successful transformation of the current energy system, with wind energy playing a key role in this transitio…

math.OC2025

Column Generation for Periodic Timetabling

Stephanie Riedmüller, Niels Lindner

Periodic timetabling for public transportation networks is typically modelled as a Periodic Event Scheduling Problem (PESP). Solving instances of the benchmark library PESPlib to o…

math.OC2024

Computing All Shortest Passenger Routes with a Tropical Dijkstra Algorithm

Berenike Masing, Niels Lindner, Enrico Bortoletto

Given a public transportation network, which and how many passenger routes can potentially be shortest paths, when all possible timetables are taken into account? This question lea…