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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 Harburger Schloßstraße 22a, 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
Software Development
Subtitle:
This course is part of the module: Software Development
Semester:
SoSe 24
Course type:
PBL -Projekt-/problembasierte Lehrveranstaltung (Lehre)
Course number:
lv1789_s24
Lecturer:
Prof. Dr. Sibylle Renate Schupp, Dipl. Informatiker Rainer Marrone
Description:
IMPORTANT!!!! Seating in this course is limited to 30 students. We randomly select IIW or CS students in their 6th or higher semester on 4th of April (we will check this property). The final 3 seats we reserve for special cases. If seats are not filled, students from other semesters can be admitted.
  • Agile Methods
  • Test-Driven Development and Unit Testing
  • Continuous Integration
  • Web Services
  • Scalability
  • From Defects to Failure
Pre-requisites:
Introduction to Software Engineering Programming Skills Experience with Developing Small to Medium-Size applications
Performance accreditation:
320 - Software Development<ul><li>320 - Software Development: Subject theoretical and practical work</li></ul>
ECTS credit points:
6
Stud.IP informationen about this course:
Home institute: Institut für Softwaresysteme (E-16)
Registered participants in Stud.IP: 32
Postings: 10

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.

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

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

completed

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 36
21079 Hamburg
E-mail : ieet(at)tuhh.de
Phone : +49 40 42878 3213
Fax : +49 40 42878 2382
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