Verbundprojekt: GridProtect - Teilprojekt: Entwicklung der Datenanalysemethode zum Schutz vor Netzausfall in kritischen Infrastrukturen basierend auf Smart Metering (QuantPlus)
Basic data for this project
Type of project: Participation in federally funded joint project
Duration at the University of Münster: 01/08/2021 - 31/07/2023
Description
The project is about the development and deployment of artificial neural networks for anticipating critical transitions in time series data. Synthetic data is being generated based on complex systems and various indicators are investigated using autoencoders. In course of this the main focus lies on power grid networks.
Keywords: Netzausfall, Smart Metering; kritische Infrastruktur
Funding identifier: KK5286701KA1
Funder / funding scheme:
- BMWE - Zentrales Innovationsprogramm Mittelstand (ZIM)
Project management at the University of Münster
| Kamps, Oliver | Center for Data Science and Complexity (CDSC) |
Applicants from the University of Münster
| Kamps, Oliver | Center for Data Science and Complexity (CDSC) |
Research associates from the University of Münster
| Mai, Oliver | Center for Data Science and Complexity (CDSC) |
| Willers, Clemens | Center for Data Science and Complexity (CDSC) |