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IEET > Staff > Research Assistants > Finn Nußbaum, M.Sc.

Finn Nußbaum

M.Sc.
Research Assistant

Contact

Finn Nußbaum, M. Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
nach Vereinbarung
Harburger Schloßstraße 22a,
21079 Hamburg
Building HS22a, Room 2.017
Phone: +49 40 42878 4092
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Research Project

KoLa
Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

KoLa

Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2026

to the project page

Publications

TUHH Open Research (TORE)

2024

2023

Courses

Stud.IP
link to course in Stud.IP Studip_icon
Labor Cyber-Physical Systems (PBL)
Subtitle:
Diese Lehrveranstaltung ist Teil des Moduls: Labor Cyber-Physical Systems
Semester:
SoSe 24
Course type:
PBL -Projekt-/problembasierte Lehrveranstaltung (Lehre)
Course number:
lv1740_s24
Lecturer:
Prof. Dr. Heiko Falk, M. Sc Thilo Fischer, Wolfgang Brandt
Description:
Participation is limited to 40 students. The slots will NOT be distributed by 'first-come-first-serve' but will be drawn randomly on March 28, 18:00. There will be two groups of 20 students. The first group meets on Tuesday, the second group on Thursdays. Once the participants have been drawn, we will assign them to one of the two groups. Attending the first appointment is mandatory to participate in the lab! If you do not show up for the first appointment your place in the lab will be given to a student on the waiting list. The lab takes place in room Q1.020.
Performance accreditation:
360 - Labor Cyber-Physical Systems<ul><li>360 - Labor Cyber-Physical Systems: schriftliche Ausarbeitung</li></ul>
ECTS credit points:
6
Stud.IP informationen about this course:
Home institute: Institut für Eingebettete Systeme (E-13)
Registered participants in Stud.IP: 43
Documents: 31

Supervised Theses

ongoing

2024

  • Ahmed, Taha (2024). Development of an iterative multi-agent coordination framework for congestion prevention in low voltage grids.

  • Busch, Marcel (2024). Entwicklung eines Netzmodells zur szenarienbasierten Untersuchung von Engpässen in heutigen und zukünftigen städtischen Verteilnetzen.

  • Lindner, Joost (2024). Entwicklung einer probabilistischen Lastprognose für die Niederspannungsebene elektrischer Verteilnetze.

  • Möller, Julius (2024). Untersuchung von Kennzahlen zur Bewertung der Diskriminierungsfreiheit von Engpassmanagementmaßnahmen.

  • Wilke, Jan Jakob (2024). Definition leistungsbasierter Netzregeln zur Engpassvermeidung in elektrischen Verteilnetzen.

completed

2024

  • Ming, Zhao (2024). Conceptual Design for a grid demonstrator for teaching purposes and development of a suitable distribution grid simulation.

2023

  • Kock am Brink, Jonas (2023). Entwicklung einer Engpassprognose für elektrische Verteilnetze mittels probabilistischer Verfahren.

TU Hamburg
Institute of Electrical Power and Energy Technology (ieet) E-6
Prof. Dr.-Ing. Christian Becker
Harburger Schloßstraße 22a
21079 Hamburg
E-mail : ieet(at)tuhh.de
Phone : +49 40 42878 3213
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