A way to identify decision criteria for selecting different mechanisms which provide reliable transmission in a Future Internet architecture. - Daniel Günther 002; Eric M. S. P. Veith; Paul Müller 001 (NGI, 2011)

A description language for communication services of future network architectures. - Rahamatullah Khondoker; Eric M. S. P. Veith; Paul Mueller (NOF, 2011)

Universal smart grid agent for distributed power generation management. - Eric M. S. P. Veith (Logos Verlag Berlin, 2017)

Large Scale Rollout of Smart Grid Services. - Florian Kintzler; Tobias Gawron-Deutsch; Stephan Cejka; Judith Schulte; Mathias Uslar; Eric M. S. P. Veith; Ewa Piatkowska; Paul Smith 001; Friederich Kupzog; Henrik Sandberg; Michelle S. Chong; David Umsonst; et al. (GIoTS, 2018)

Adversarial Resilience Learning - Towards Systemic Vulnerability Analysis for Large and Complex Systems. - Lars Fischer; Jan-Menno Memmen; Eric M. S. P. Veith; Martin Tröschel (CoRR, 2018)

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence. - Eric M. S. P. Veith; Lars Fischer; Martin Tröschel; Astrid Nieße (CoRR, 2019)

Explainable Reinforcement Learning: A Survey. - Erika Puiutta; Eric M. S. P. Veith (CD-MAKE, 2020)

Robust and Deterministic Scheduling of Power Grid Actors. - Emilie Frost; Eric M. S. P. Veith; Lars Fischer (CoDIT, 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)

The Adversarial Resilience Learning Architecture for AI-based Modelling, Exploration, and Operation of Complex Cyber-Physical Systems. - Eric M. S. P. Veith; Nils Wenninghoff; Emilie Frost (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)

Flexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder. - Stefanie Holly; Astrid Nieße; Martin Tröschel; Lasse Hammer; Christoph Franzius; Viktor Dmitriyev; Johannes Dorfner; Eric M. S. P. Veith; Christine Harnischmacher; Maike Greve; Kristin Masuch; Lutz M. Kolbe; et al. (Energy Inform., 2020)

Towards Reinforcement Learning for Vulnerability Detection in Power Systems and Markets: Poster. - Thomas Wolgast; Eric M. S. P. Veith; Astrid Nieße (e-Energy, 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 (ISGT-Europe, 2021)

Comparison of Random Sampling and Heuristic Optimization-Based Methods for Determining the Flexibility Potential at Vertical System Interconnections. - Johannes Gerster; Sebastian Lehnhoff; Marcel Sarstedt; Lutz Hofmann; Eric M. S. P. Veith (ISGT-Europe, 2021)

Pointing out the Convolution Problem of Stochastic Aggregation Methods for the Determination of Flexibility Potentials at Vertical System Interconnections. - Johannes Gerster; Marcel Sarstedt; Eric M. S. P. Veith; Sebastian Lehnhoff; Lutz Hofmann (CoRR, 2021)

Towards reinforcement learning for vulnerability analysis in power-economic systems. - Thomas Wolgast; Eric M. S. P. Veith; Astrid Nieße (Energy Inform., 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)

Comparison of Heuristic Optimization-Based Methods for Determining the Flexibility Potential at Vertical System Interconnections. - Sharaf Alsharif; Marcel Sarstedt; Eric M. S. P. Veith (ISGT EUROPE, 2023)

Publisher Correction: Towards reinforcement learning for vulnerability analysis in power-economic systems. - Thomas Wolgast; Eric M. S. P. Veith; Astrid Nieße (Energy Inform., 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)

Analyzing Exact Output Regions of Reinforcement Learning Policy Neural Networks for High-Dimensional Input-Output Spaces. - Torben Logemann; Eric M. S. P. Veith (EXPLAINS, 2024)

Threat Modeling for AI Analysis: Towards the Usage of Misuse Case Templates and UML Diagrams for AI Experiment Description and Trajectory Generation. - Arlena Wellßow; Julian Kohlisch-Posega; Eric M. S. P. Veith; Mathias Uslar (IEEA, 2024)

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)

Trajectory Generation Model: Building a Simulation Link Between Expert Knowledge and Offline Learning. - Arlena Wellßow; Torben Logemann; Eric M. S. P. Veith (SIMULTECH, 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)

A References Architecture for Human Cyber Physical Systems, Part II: Fundamental Design Principles for Human-CPS Interaction. - Klaus Bengler; Werner Damm; Andreas Lüdtke; Jochem W. Rieger; Benedikt Austel; Bianca Biebl; Martin Fränzle; Willem Hagemann; Moritz Held; David Hess; Klas Ihme; Severin Kacianka; et al. (ACM Trans. Cyber Phys. Syst., 2024)

A Reference Architecture of Human Cyber-Physical Systems - Part III: Semantic Foundations. - Werner Damm; Martin Fränzle; Alyssa J. Kerscher; Forrest Laine; Klaus Bengler; Bianca Biebl; Willem Hagemann; Moritz Held; David Hess; Klas Ihme; Severin Kacianka; Sebastian Lehnhoff; et al. (ACM Trans. Cyber Phys. Syst., 2024)

A Reference Architecture of Human Cyber-Physical Systems - Part I: Fundamental Concepts. - Werner Damm; David Hess; Mark Schweda; Janos Sztipanovits; Klaus Bengler; Bianca Biebl; Martin Fränzle; Willem Hagemann; Moritz Held; Klas Ihme; Severin Kacianka; Alyssa J. Kerscher; et al. (ACM Trans. Cyber Phys. Syst., 2024)

Cover Me: Mitigating Multi-Agent System Failure through Reinforcement Learning - A Technology Demonstration. - Eric M. S. P. Veith; Arlena Wellßow; Torben Logemann; Emilie Frost (e-Energy, 2025)

Transfer Learning in Deep Reinforcement Learning: Actor-Critic Model Reuse for Changed State-Action Space. - Feline Malin Barg; Eric MSP Veith; Lasse Hammer (ICAART (2), 2025)