Jan Viebahn

According to our database, Jan Viebahn authored at least 14 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control.

Barbera de Mol, Davide Barbieri, Jan Viebahn, Davide Grossi

CoRR, February, 2025

Multi-Objective Reinforcement Learning for Power Grid Topology Control.

Thomas Lautenbacher, Ali Rajaei, Davide Barbieri, Jan Viebahn, Jochen L. Cremer

CoRR, February, 2025

Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control.

Yassine El Manyari, Anton R. Fuxjäger, Stefan Zahlner, Joost van Dijk, Alberto Castagna, Davide Barbieri, Jan Viebahn, Marcel Wasserer

CoRR, February, 2025

Accelerated DC loadflow solver for topology optimization.

Nico Westerbeck, Joost van Dijk, Jan Viebahn, Christian Merz, Dirk Witthaut

CoRR, January, 2025

Generalizable Graph Neural Networks for Robust Power Grid Topology Control.

Matthijs de Jong, Jan Viebahn, Yuliya Shapovalova

CoRR, January, 2025

2024

Imitation Learning for Intra-Day Power Grid Operation through Topology Actions.

Matthijs de Jong, Jan Viebahn, Yuliya Shapovalova

CoRR, 2024

2023

Hierarchical Reinforcement Learning for Power Network Topology Control.

Blazej Manczak, Jan Viebahn, Herke van Hoof

CoRR, 2023

Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents.

Malte Lehna, Jan Viebahn, Christoph Scholz, Antoine Marot, Sven Tomforde

CoRR, 2023

2020

Exploring grid topology reconfiguration using a simple deep reinforcement learning approach.

Medha Subramanian, Jan Viebahn, Simon H. Tindemans, Benjamin Donnot, Antoine Marot

CoRR, 2020

Learning to run a Power Network Challenge: a Retrospective Analysis.

Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold, Adrian Kelly, Aidan O'Sullivan, Jan Viebahn, Mariette Awad, Isabelle Guyon, Patrick Panciatici, Camilo Romero

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2017

Continuation of probability density functions using a generalized Lyapunov approach.

Sven Baars, Jan Viebahn, Thomas E. Mulder, Christian Kuehn, Fred W. Wubs, Henk A. Dijkstra

J. Comput. Phys., 2017

2016

OMUSE: Oceanographic multipurpose software environment.

F. Inti Pelupessy, Ben van Werkhoven, Arjen van Elteren, Jan Viebahn, Adam Candy, Simon Portegies Zwart, Henk A. Dijkstra

Proceedings of the 12th IEEE International Conference on e-Science, 2016

2015

Sensitivity and resilience of the climate system: A conditional nonlinear optimization approach.

Henk A. Dijkstra, Jan Viebahn

Commun. Nonlinear Sci. Numer. Simul., 2015

2014

Critical Transition Analysis of the Deterministic Wind-Driven Ocean Circulation - A Flux-Based Network Approach.

Jan Viebahn, Henk A. Dijkstra

Int. J. Bifurc. Chaos, 2014