Eric MSP Veith
Eric MSP Veith
University of Oldenburg
Verified email at - Homepage
Cited by
Cited by
Explainable Reinforcement Learning: A Survey
E Puiutta, EMSP Veith
arXiv preprint arXiv:2005.06247, 2020
Adversarial Resilience Learning—Towards Systemic Vulnerability Analysis for Large and Complex Systems
L Fischer, JM Memmen, E Veith, M Tröschel
The Ninth International Conference on Smart Grids, Green Communications and …, 2019
Flexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder
S Holly, A Nieße, M Tröschel, L Hammer, C Franzius, V Dmitriyev, ...
Energy Informatics 3, 1-20, 2020
Analyzing cyber-physical systems from the perspective of artificial intelligence
EMSP Veith, L Fischer, M Tröschel, A Nieße
Proceedings of the 2019 International Conference on Artificial Intelligence …, 2019
Gapi: A g-lab application-to-network interface
F Liers, T Volkert, D Martin, H Backhaus, H Wippel, E Veith, A Siddiqui, ...
11th Würzburg Workshop on IP: Joint ITG and Euro-NF Workshop" Visions of …, 2011
Universal smart grid agent for distributed power generation management
E Veith
Logos Verlag Berlin, 2017
The spectrum of proactive, resilient multi-microgrid scheduling: A systematic literature review
MH Spiegel, EMSP Veith, TI Strasser
Energies 13 (17), 4543, 2020
Large scale rollout of smart grid services
F Kintzler, T Gawron-Deutsch, S Cejka, J Schulte, M Uslar, EMSP Veith, ...
2018 Global Internet of Things Summit (GIoTS), 1-7, 2018
A description language for communication services of future network architectures
R Khondoker, EMSP Veith, P Mueller
2011 International Conference on the Network of the Future, 68-75, 2011
Towards reinforcement learning for vulnerability analysis in power-economic systems
T Wolgast, EMSP Veith, A Nieße
Energy Informatics 4, 1-20, 2021
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
The adversarial resilience learning architecture for ai-based modelling, exploration, and operation of complex cyber-physical systems
E Veith, N Wenninghoff, E Frost
arXiv preprint arXiv:2005.13601, 2020
Robust and deterministic scheduling of power grid actors
E Frost, EMSP Veith, L Fischer
2020 7th International Conference on Control, Decision and Information …, 2020
Pointing out the convolution problem of stochastic aggregation methods for the determination of flexibility potentials at vertical system interconnections
J Gerster, M Sarstedt, E Veith, S Lehnhoff, L Hofmann
arXiv preprint arXiv:2102.03430, 2021
A lightweight distributed software agent for automatic demand—supply calculation in smart grids
E Veith, B Steinbach, J Windeln
International Journal On Advances in Internet Technology 7 (1), 97-113, 2014
An architecture for reliable learning agents in power grids
EMSP Veith
ENERGY, 19, 2023
An evolutionary training algorithm for artificial neural networks with dynamic offspring spread and implicit gradient information
M Ruppert, EM Veith, B Steinbach
Proceedings of the Sixth International Conference on Emerging Network …, 2014
A lightweight messaging protocol for Smart Grids
EM Veith, B Steinbach, J Windeln
Proceedings of the Fifth International Conference on Emerging Network …, 2013
Comparison of random sampling and heuristic optimization-based methods for determining the flexibility potential at vertical system interconnections
J Gerster, S Lehnhoff, M Sarstedt, L Hofmann, EMSP Veith
2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 1-6, 2021
Extracting decision criteria by modeling retransmission and forward error correction in a future internet architecture
D Günther, E Veith, P Müller
Proceedings of the Work in Progress Session held in connection with the 37th …, 2011
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