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; et al. (EnviroInfo (1), 2016)

Surrogate models for composed simulation models in energy systems. - Stephan Balduin (Energy Inform., 2018)

Distributed ledger technology for fully automated congestion management. - Astrid Nieße; Norman Ihle; Stephan Balduin; Matthias Postina; Martin Tröschel; Sebastian Lehnhoff (Energy Inform., 2018)

Tool-assisted Surrogate Selection for Simulation Models in Energy Systems. - Stephan Balduin; Frauke Oest; Marita Blank-Babazadeh; Astrid Nieße; Sebastian Lehnhoff (FedCSIS, 2019)

Towards domain-specific surrogate models for smart grid co-simulation. - Stephan Balduin; Martin Tröschel; Sebastian Lehnhoff (Energy Inform., 2019)

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)

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)

Evaluating different machine learning techniques as surrogate for low voltage grids. - Stephan Balduin; Tom Westermann; Erika Puiutta (Energy Inform., 2020)

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 (ISGT-Europe, 2021)

Sampling Strategies for Static Powergrid Models. - Stephan Balduin; Eric M. S. P. Veith; Sebastian Lehnhoff (SIMULTECH, 2022)

Learning to Attack Powergrids with DERs. - Eric M. S. P. Veith; Nils Wenninghoff; Stephan Balduin; Thomas Wolgast; Sebastian Lehnhoff (CoRR, 2022)

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 (ETFA, 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, 2023)

Play With Me: Towards Explaining the Benefits of Autocurriculum Training of Learning Agents. - Eric MSP Veith; Torben Logemann; Arlena Wellßow; Stephan Balduin (ISGT EUROPE, 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)

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)