Stephan Balduin
Stephan Balduin
Wissenschaftlicher Mitarbeiter
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Cited by
Cited by
Evaluating different machine learning techniques as surrogate for low voltage grids
S Balduin, T Westermann, E Puiutta
Energy Informatics 3 (Suppl 1), 24, 2020
Analyzing power grid, ICT, and market without domain knowledge using distributed artificial intelligence
E Veith, S Balduin, N Wenninghoff, M Tröschel, L Fischer, A Nieße, ...
arXiv preprint arXiv:2006.06074, 2020
Towards domain-specific surrogate models for smart grid co-simulation
S Balduin, M Tröschel, S Lehnhoff
Energy Informatics 2 (Suppl 1), 27, 2019
Distributed ledger technology for fully automated congestion management
A Nieße, N Ihle, S Balduin, M Postina, M Tröschel, S Lehnhoff
Energy Informatics 1 (Suppl 1), 22, 2018
Surrogate models for composed simulation models in energy systems
S Balduin
Energy Informatics 1 (Suppl 1), 30, 2018
Towards a universally applicable neural state estimation through transfer learning
S Balduin, EMSP Veith, A Berezin, S Lehnhoff, T Oberließen, C Kittl, J Hiry, ...
2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 1-6, 2021
Large-Scale Co-Simulation of Power Grid and Communication Network Models with Software in the Loop
E Veith, J Kazmi, S Balduin
arXiv preprint arXiv:2005.11369, 2020
Tool-assisted surrogate selection for simulation models in energy systems
S Balduin, F Oest, M Blank-Babazadeh, A Nieße, S Lehnhoff
2019 Federated Conference on Computer Science and Information Systems …, 2019
ANALYSE—Learning to attack cyber–physical energy systems with intelligent agents
T Wolgast, N Wenninghoff, S Balduin, E Veith, B Fraune, T Woltjen, ...
SoftwareX 23, 101484, 2023
Sampling strategies for static powergrid models
S Balduin, E Veith, S Lehnhoff
arXiv preprint arXiv:2204.09053, 2022
Application of Recurrent Graph Convolutional Networks to the Neural State Estimation Problem
A Berezin, S Balduin, T Oberließen, E Veith, S Peter, S Lehnhoff
International Journal of Electrical and Electronic Engineering …, 2023
palaestrAI: A training ground for autonomous agents
E Veith, S Balduin, N Wenninghoff, T Wolgast, M Baumann, D Winkler, ...
Proceedings of the 37th annual European Simulation and Modelling Conference …, 2023
Learning to Attack Powergrids with DERs
E Veith, N Wenninghoff, S Balduin, T Wolgast, S Lehnhoff
arXiv preprint arXiv:2204.11352, 2022
Dynamic Portfolio Optimization for Distributed Energy Resources in Virtual Power Plants
S Balduin, D Brauer, L Elend, S Holly, J Korte, C Krüger, A Meier, F Oest, ...
Advances and New Trends in Environmental Informatics: Stability, Continuity …, 2017
Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid
EMSP Veith, T Logemann, A Berezin, A Wellßow, S Balduin
2024 12th Workshop on Modeling and Simulation of Cyber-Physical Energy …, 2024
Towards the Automatic Generation of Models for Prediction, Monitoring, and Testing of Cyber-Physical Systems
M Knitt, S Plambeck, JC Wieck, J Kohlisch, S Balduin, EMSP Veith, ...
2023 IEEE 28th International Conference on Emerging Technologies and Factory …, 2023
Midas: An Open-Source Framework for Simulation-Based Analysis of Energy Systems
S Balduin, EMSP Veith, S Lehnhoff
International Conference on Simulation and Modeling Methodologies …, 2022
Learning to Attack Powergrids with DERs
E MSP Veith, N Wenninghoff, S Balduin, T Wolgast, S Lehnhoff
arXiv e-prints, arXiv: 2204.11352, 2022
Deliverable D1. 1–Whitepaper Large-Scale Smart Grid Application Roll-Out
FP Andrén, J Kazmi, C Gavriluta, E Piatkowska, PS AIT, E Veith, S Balduin, ...
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