Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Balduin, Stephan"'
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
The transition of the power grid requires new technologies and methodologies, which can only be developed and tested in simulations. Especially larger simulation setups with many levels of detail can become quite slow. Therefore, the number of possib
Externí odkaz:
http://arxiv.org/abs/2006.12389
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
Power grids are transitioning from an infrastructure model based on reactive electronics towards a smart grid that features complex software stacks with intelligent, pro-active and decentralized control. As the power grid infrastructure becomes a pla
Externí odkaz:
http://arxiv.org/abs/2005.11369
Autor:
Veith, Eric, 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:
https://explore.openaire.eu/search/publication?articleId=od_______139::1b2e470c9b82d87df01cd6e1b761f518
https://media.suub.uni-bremen.de/handle/elib/5442
https://media.suub.uni-bremen.de/handle/elib/5442
Autor:
Balduin, Stephan, Brauer, Dierk, Elend, Lars, Holly, Stefanie, Korte, Jan, Krüger, Carsten, Meier, Almuth, Oest, Frauke, Sanders-Sjuts, Immo, Sauer, Torben, Schnieders, Marco, Zilke, Robert, Hinrichs, Christian, Sonnenschein, Michael
Publikováno v:
Advances & New Trends in Environmental Informatics; 2017, p131-142, 12p
