Stephan Balduin

According to our database, Stephan Balduin authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

2024

On zero-shot learning in neural state estimation of power distribution systems.

Aleksandr Berezin, Stephan Balduin, Thomas Oberließen, Sebastian Peter, Eric M. S. P. Veith

CoRR, 2024

Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid.

Eric M. S. P. Veith, Torben Logemann, Aleksandr Berezin, Arlena Wellßow, Stephan Balduin

CoRR, 2024

2023

ANALYSE - Learning to attack cyber-physical energy systems with intelligent agents.

Thomas Wolgast, Nils Wenninghoff, Stephan Balduin, Eric M. S. P. Veith, Bastian Fraune, Torben Woltjen, Astrid Nieße

SoftwareX, July, 2023

Towards the Automatic Generation of Models for Prediction, Monitoring, and Testing of Cyber-Physical Systems.

Markus Knitt, Swantje Plambeck, Jan Christian Wieck, Julian Kohlisch, Stephan Balduin, Eric M. S. P. Veith, Jakob Schyga, Johannes Hinckeldeyn, Görschwin Fey, Jochen Kreutzfeldt

Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

2022

Learning to Attack Powergrids with DERs.

Eric M. S. P. Veith, Nils Wenninghoff, Stephan Balduin, Thomas Wolgast, Sebastian Lehnhoff

CoRR, 2022

Sampling Strategies for Static Powergrid Models.

Stephan Balduin, Eric M. S. P. Veith, Sebastian Lehnhoff

Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, 2022

2021

Towards a Universally Applicable Neural State Estimation through Transfer Learning.

Stephan Balduin, Eric M. S. P. Veith, Alexander Berezin, Sebastian Lehnhoff, Thomas Oberließen, Chris Kittl, Johannes Hiry, Christian Rehtanz, Giancarlo Torres-Villarreal, Sasiphong Leksawat, Andreas Kubis, Marc-Aurel Frankenbach

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

2020

Evaluating different machine learning techniques as surrogate for low voltage grids.

Stephan Balduin, Tom Westermann, Erika Puiutta

Energy Inform., 2020

Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence.

Eric M. S. P. Veith, Stephan Balduin, Nils Wenninghoff, Martin Tröschel, Lars Fischer, Astrid Nieße, Thomas Wolgast, Richard Sethmann, Bastian Fraune, Torben Woltjen

CoRR, 2020

Large-Scale Co-Simulation of Power Grid and Communication Network Models with Software in the Loop.

Eric M. S. P. Veith, Jawad Kazmi, Stephan Balduin

CoRR, 2020

2019

Towards domain-specific surrogate models for smart grid co-simulation.

Stephan Balduin, Martin Tröschel, Sebastian Lehnhoff

Energy Inform., 2019

Tool-assisted Surrogate Selection for Simulation Models in Energy Systems.

Stephan Balduin, Frauke Oest, Marita Blank-Babazadeh, Astrid Nieße, Sebastian Lehnhoff

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

2018

Distributed ledger technology for fully automated congestion management.

Astrid Nieße, Norman Ihle, Stephan Balduin, Matthias Postina, Martin Tröschel, Sebastian Lehnhoff

Energy Inform., 2018

Surrogate models for composed simulation models in energy systems.

Stephan Balduin

Energy Inform., 2018

2016

Dynamic Portfolio Optimization for Distributed Energy Resources in Virtual Power Plants.

Stephan Balduin, Dierk Brauer, Lars Elend, Stefanie Holly, Jan Korte, Carsten Krüger, Almuth Meier, Frauke Oest, Immo Sanders-Sjuts, Torben Sauer, Marco Schnieders, Robert Zilke, Christian Hinrichs, Michael Sonnenschein

Proceedings of the 30th International Conference on Environmental Informatics, 2016