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
Data science methods (e.g., clustering, decision trees, artificial neural networks)
Performance metrics
Cybersecutrity Applications:
Spam detection
Phishing detection
Intrusion detection
Access-control prediction
Denial of Service (DoS) prediction
Vulnerability/malware prediction
Adversarial machine learning
Performance accreditation:
m1773-2022 - Cybersecurity Data Science<ul><li>p1760-2022 - Cybersecurity Data Science: Klausur schriftlich</li></ul><br>m1773-2023 - Cybersecurity Data Science<ul><li>p1760-2022 - Cybersecurity Data Science: Klausur schriftlich</li><li>vl440-2023 - Voluntary Course Work Cybersecurity Data Science - Subject theoretical and practical work: Subject theoretical and practical work</li></ul>
ECTS credit points:
3
Stud.IP informationen about this course:
Home institute: E-22 Software Security
Registered participants in Stud.IP: 129
Documents: 6
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.