Jan Viebahn

22 papers B 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2025 B conf
A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures.
SMC
Milad Leyli-Abadi, Ricardo J. Bessa, Jan Viebahn, Daniel Boos, Clark Borst, Alberto Castagna, Ricardo Chavarriaga, Mohamed Hassouna, Bruno Lemetayer, Giulia Leto, Antoine Marot, Maroua Meddeb, Manuel Meyer, Viola Schiaffonati, Manuel Schneider, Toni Waefler, Mouadh Yagoubi
2025 J jnl
A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures.
CoRR
Milad Leyli-Abadi, Ricardo J. Bessa, Jan Viebahn, Daniel Boos, Clark Borst, Alberto Castagna, Ricardo Chavarriaga, Mohamed Hassouna, Bruno Lemetayer, Giulia Leto, Antoine Marot, Maroua Meddeb, Manuel Meyer, Viola Schiaffonati, Manuel Schneider, Toni Waefler
2025 J jnl
Accelerated DC loadflow solver for topology optimization.
CoRR
Nico Westerbeck, Joost van Dijk, Jan Viebahn, Christian Merz, Dirk Witthaut
2025 — conf
Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control.
e-Energy
Barbera de Mol, Davide Barbieri, Jan Viebahn, Davide Grossi
2025 J jnl
Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control.
CoRR
Barbera de Mol, Davide Barbieri, Jan Viebahn, Davide Grossi
2025 — conf
Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control.
e-Energy
Yassine El Manyari, Anton Robert Fuxjäger, Stefan Zahlner, Joost van Dijk, Alberto Castagna, Davide Barbieri, Jan Viebahn, Marcel Wasserer
2025 J jnl
Generalizable Graph Neural Networks for Robust Power Grid Topology Control.
CoRR
Matthijs de Jong, Jan Viebahn, Yuliya Shapovalova
2025 — conf
Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach.
ECML/PKDD (10)
Mohamed Hassouna, Clara Holzhüter, Malte Lehna, Matthijs de Jong, Jan Viebahn, Bernhard Sick, Christoph Scholz
2025 J jnl
Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach.
CoRR
Mohamed Hassouna, Clara Holzhüter, Malte Lehna, Matthijs de Jong, Jan Viebahn, Bernhard Sick, Christoph Scholz
2025 J jnl
Multi-Objective Reinforcement Learning for Power Grid Topology Control.
CoRR
Thomas Lautenbacher, Ali Rajaei, Davide Barbieri, Jan Viebahn, Jochen L. Cremer
2025 J jnl
Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control.
CoRR
Yassine El Manyari, Anton R. Fuxjäger, Stefan Zahlner, Joost van Dijk, Alberto Castagna, Davide Barbieri, Jan Viebahn, Marcel Wasserer
2024 J jnl
Imitation Learning for Intra-Day Power Grid Operation through Topology Actions.
CoRR
Matthijs de Jong, Jan Viebahn, Yuliya Shapovalova
2023 J jnl
Hierarchical Reinforcement Learning for Power Network Topology Control.
CoRR
Blazej Manczak, Jan Viebahn, Herke van Hoof
2023 J jnl
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents.
CoRR
Malte Lehna, Jan Viebahn, Christoph Scholz, Antoine Marot, Sven Tomforde
2021 J jnl
Learning to run a Power Network Challenge: a Retrospective Analysis.
CoRR
Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold, Adrian Kelly, Aïdan O'Sullivan, Jan Viebahn, Mariette Awad, Isabelle Guyon, Patrick Panciatici, Camilo Romero
2020 J jnl
Continuation of Probability Density Functions using a Generalized Lyapunov Approach.
CoRR
Sven Baars, Jan Viebahn, Thomas E. Mulder, Christian Kuehn, Fred W. Wubs, Henk A. Dijkstra
2020 J jnl
Exploring grid topology reconfiguration using a simple deep reinforcement learning approach.
CoRR
Medha Subramanian, Jan Viebahn, Simon H. Tindemans, Benjamin Donnot, Antoine Marot
2020 — conf
Learning to run a Power Network Challenge: a Retrospective Analysis.
NeurIPS (Competition and Demos)
Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold, Adrian Kelly, Aidan O'Sullivan, Jan Viebahn, Mariette Awad, Isabelle Guyon, Patrick Panciatici, Camilo Romero
2017 J jnl
Continuation of probability density functions using a generalized Lyapunov approach.
J. Comput. Phys.
Sven Baars, Jan Viebahn, Thomas E. Mulder, Christian Kuehn, Fred W. Wubs, Henk A. Dijkstra
2016 — conf
OMUSE: Oceanographic multipurpose software environment.
eScience
F. Inti Pelupessy, Ben van Werkhoven, Arjen van Elteren, Jan Viebahn, Adam Candy, Simon Portegies Zwart, Henk A. Dijkstra
2015 J jnl
Sensitivity and resilience of the climate system: A conditional nonlinear optimization approach.
Commun. Nonlinear Sci. Numer. Simul.
Henk A. Dijkstra, Jan Viebahn
2014 J jnl
Critical Transition Analysis of the Deterministic Wind-Driven Ocean Circulation - A Flux-Based Network Approach.
Int. J. Bifurc. Chaos
Jan Viebahn, Henk A. Dijkstra