Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Veith, Eric"'
This paper addresses the challenge of neural state estimation in power distribution systems. We identified a research gap in the current state of the art, which lies in the inability of models to adapt to changes in the power grid, such as loss of se
Externí odkaz:
http://arxiv.org/abs/2408.05787
Autonomous and learning systems based on Deep Reinforcement Learning have firmly established themselves as a foundation for approaches to creating resilient and efficient Cyber-Physical Energy Systems. However, most current approaches suffer from two
Externí odkaz:
http://arxiv.org/abs/2404.01794
Autor:
Wolgast, Thomas, Wenninghoff, Nils, Balduin, Stephan, Veith, Eric, Fraune, Bastian, Woltjen, Torben, Nieße, Astrid
Publikováno v:
SoftwareX, Volume 23, July 2023, 101484
The ongoing penetration of energy systems with information and communications technology (ICT) and the introduction of new markets increase the potential for malicious or profit-driven attacks that endanger system stability. To ensure security-of-sup
Externí odkaz:
http://arxiv.org/abs/2305.09476
In the past years, power grids have become a valuable target for cyber-attacks. Especially the attacks on the Ukrainian power grid has sparked numerous research into possible attack vectors, their extent, and possible mitigations. However, many fail
Externí odkaz:
http://arxiv.org/abs/2204.11352
Machine learning and computational intelligence technologies gain more and more popularity as possible solution for issues related to the power grid. One of these issues, the power flow calculation, is an iterative method to compute the voltage magni
Externí odkaz:
http://arxiv.org/abs/2204.09053
In order to prevent conflicting or counteracting use of flexibility options, the coordination between distribution system operator and transmission system operator has to be strengthened. For this purpose, methods for the standardized description and
Externí odkaz:
http://arxiv.org/abs/2106.01056
The increase of generation capacity in the area of responsibility of the distribution system operator (DSO) requires strengthening of coordination between transmission system operator (TSO) and DSO in order to prevent conflicting or counteracting use
Externí odkaz:
http://arxiv.org/abs/2102.03430
Autor:
Veith, Eric MSP, Balduin, Stephan, Wenninghoff, Nils, Tröschel, Martin, Fischer, Lars, Nieße, Astrid, Wolgast, Thomas, Sethmann, Richard, Fraune, Bastian, Woltjen, Torben
Modern cyber-physical systems (CPS), such as our energy infrastructure, are becoming increasingly complex: An ever-higher share of Artificial Intelligence (AI)-based technologies use the Information and Communication Technology (ICT) facet of energy
Externí odkaz:
http://arxiv.org/abs/2006.06074
Modern algorithms in the domain of Deep Reinforcement Learning (DRL) demonstrated remarkable successes; most widely known are those in game-based scenarios, from ATARI video games to Go and the StarCraft~\textsc{II} real-time strategy game. However,
Externí odkaz:
http://arxiv.org/abs/2005.13601