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ORCIDStephan Balduin
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2020 – today
- 2024
[i7]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 abs/2404.01794 (2024)- [i6]Aleksandr Berezin, Stephan Balduin, Thomas Oberließen, Sebastian Peter, Eric M. S. P. Veith:
On zero-shot learning in neural state estimation of power distribution systems. CoRR abs/2408.05787 (2024) - 2023
- [j5]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: 101484 (2023) - [c5]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: 1-4 - [i5]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 abs/2305.09476 (2023) - 2022
- [c4]Stephan Balduin, Eric M. S. P. Veith, Sebastian Lehnhoff:
Sampling Strategies for Static Powergrid Models. SIMULTECH 2022: 319-326 - [i4]Stephan Balduin, Eric M. S. P. Veith, Sebastian Lehnhoff:
Sampling Strategies for Static Powergrid Models. CoRR abs/2204.09053 (2022) - [i3]Eric M. S. P. Veith, Nils Wenninghoff, Stephan Balduin, Thomas Wolgast, Sebastian Lehnhoff:
Learning to Attack Powergrids with DERs. CoRR abs/2204.11352 (2022) - 2021
- [c3]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: 1-6 - 2020
- [j4]Stephan Balduin, Tom Westermann, Erika Puiutta:
Evaluating different machine learning techniques as surrogate for low voltage grids. Energy Inform. 3(S1) (2020) - [i2]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 abs/2005.11369 (2020) - [i1]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 abs/2006.06074 (2020)
2010 – 2019
- 2019
- [j3]Stephan Balduin, Martin Tröschel, Sebastian Lehnhoff:
Towards domain-specific surrogate models for smart grid co-simulation. Energy Inform. 2(S1) (2019) - [c2]Stephan Balduin, Frauke Oest, Marita Blank-Babazadeh, Astrid Nieße, Sebastian Lehnhoff:
Tool-assisted Surrogate Selection for Simulation Models in Energy Systems. FedCSIS 2019: 185-192 - 2018
- [j2]Stephan Balduin:
Surrogate models for composed simulation models in energy systems. Energy Inform. 1(S1) (2018) - [j1]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) - 2016
- [c1]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: 131-142
Coauthor Index
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