Stephan Balduin

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Simulation Model

Distributed Artificial Intelligence

Reinforcement Learning

Portfolio Optimization

Top Venues

Publications

Eric M. S. P. Veith, Torben Logemann, Aleksandr Berezin, Arlena Wellßow, Stephan Balduin
Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid. CoRR (2024)
Thomas Wolgast, Nils Wenninghoff, Stephan Balduin, Eric M. S. P. Veith, Bastian Fraune, Torben Woltjen, Astrid Nieße
ANALYSE - Learning to attack cyber-physical energy systems with intelligent agents. SoftwareX 23 (2023)
Markus Knitt, Swantje Plambeck, Jan Christian Wieck, Julian Kohlisch, Stephan Balduin, Eric M. S. P. Veith, Jakob Schyga, Johannes Hinckeldeyn, Görschwin Fey, Jochen Kreutzfeldt
Towards the Automatic Generation of Models for Prediction, Monitoring, and Testing of Cyber-Physical Systems. ETFA (2023)
Thomas Wolgast, Nils Wenninghoff, Stephan Balduin, Eric M. S. P. Veith, Bastian Fraune, Torben Woltjen, Astrid Nieße
ANALYSE - Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents. CoRR (2023)
Eric M. S. P. Veith, Nils Wenninghoff, Stephan Balduin, Thomas Wolgast, Sebastian Lehnhoff
Learning to Attack Powergrids with DERs. CoRR (2022)
Stephan Balduin, Eric M. S. P. Veith, Sebastian Lehnhoff
Sampling Strategies for Static Powergrid Models. CoRR (2022)
Stephan Balduin, Eric M. S. P. Veith, Sebastian Lehnhoff
Sampling Strategies for Static Powergrid Models. SIMULTECH (2022)
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
Towards a Universally Applicable Neural State Estimation through Transfer Learning. ISGT-Europe (2021)
Eric M. S. P. Veith, Stephan Balduin, Nils Wenninghoff, Martin Tröschel, Lars Fischer, Astrid Nieße, Thomas Wolgast, Richard Sethmann, Bastian Fraune, Torben Woltjen
Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence. CoRR (2020)
Stephan Balduin, Tom Westermann, Erika Puiutta
Evaluating different machine learning techniques as surrogate for low voltage grids. Energy Inform. 3 (S1) (2020)
Eric M. S. P. Veith, Jawad Kazmi, Stephan Balduin
Large-Scale Co-Simulation of Power Grid and Communication Network Models with Software in the Loop. CoRR (2020)
Stephan Balduin, Frauke Oest, Marita Blank-Babazadeh, Astrid Nieße, Sebastian Lehnhoff
Tool-assisted Surrogate Selection for Simulation Models in Energy Systems. FedCSIS (2019)
Stephan Balduin, Martin Tröschel, Sebastian Lehnhoff
Towards domain-specific surrogate models for smart grid co-simulation. Energy Inform. 2 (S1) (2019)
Astrid Nieße, Norman Ihle, Stephan Balduin, Matthias Postina, Martin Tröschel, Sebastian Lehnhoff
Distributed ledger technology for fully automated congestion management. Energy Inform. 1 (S1) (2018)
Stephan Balduin
Surrogate models for composed simulation models in energy systems. Energy Inform. 1 (S1) (2018)
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
Dynamic Portfolio Optimization for Distributed Energy Resources in Virtual Power Plants. EnviroInfo (1) (2016)