Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply
DisrupSys
Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply
Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2024
This course provides an in-depth exploration of the rapidly evolving field of digital health. It covers the current trends, state of the industry, and the perspectives of both patients and physicians, with particular emphasis on digital health applications (DiGA and DiPA) in Germany and Europe. Students will gain insights into the importance of interoperability, data management, and research data, while also exploring into the role of big data and AI in state-of-the-art healthcare. The course integrates theory with real-world application, case studies and a guest lecture, offering a comprehensive understanding of the digital transformation in the healthcare sector.
TeilnehmerInnen:
Master's students enrolled in Data Science and Biomedical Engineering.
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Technologie u. Innovationsmanagement (W-7)
beteiligte Institute: Institut für Data-Driven Innovation (W-EXK2)
In Stud.IP angemeldete Teilnehmer: 34
Anzahl der Dokumente im Stud.IP-Downloadbereich: 46
Supervised Theses
ongoing
completed
2023
Babendererde, A. (2023). Regelung eines Umrichters zum Anschluss eines Wasserstoffspeicherkraftwerks an die Höchstspannungsebene.
2022
Lim, I. (2022). Modelling and Integration of a Hydrogen Storage Power Plant in the 10-Machine New-England Power System.
Lindner, J. (2022). Primärregelungskonzepte für einen Batteriepufferspeicher eines Wasserstoffspeicherkraftwerkes.
Rieckborn, N. (2022). Modellierung des Umwandlungsprozesses eines Wasserstoffspeicherkraftwerks.