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

Publications

TUHH Open Research (TORE)

2024

2023

Courses

Stud.IP
link to course in Stud.IP Studip_icon
Advanced Internet Computing
Subtitle:
This course provides information for the lecture and exercise ("PBL") in Advanced Internet Computing
Semester:
SoSe 24
Course style:
Please note that we use this for both the lecture and the PBL exercises, i.e., the complete module.
Course type:
Lecture
Course number:
lv2916_s24
Lecturer:
Prof. Dr. Stefan Schulte, Avik Banerjee, Ulrike Schneider
Description:

This lecture discusses modern Internet-based distributed systems in three blocks: (i) Cloud computing, (ii) the Internet of Things, and (iii) blockchain technologies. The following topics will be covered in the single lectures:

  • Cloud Computing
  • Elastic Computing
  • Technologies for identification for the IoT: RFID & EPC
  • Communication in the IoT: Standards and protocols
  • Security and trust in the IoT: Concerns and solution approaches
  • Edge and Fog Computing
  • Application areas: Smart factories, smart cities, smart healthcare
  • Blockchain technologies 
  • Consensus 
Performance accreditation:
m1774-2021 - Advanced Internet Computing<ul><li>p1761-2021 - Advanced Internet Computing: Klausur schriftlich</li></ul><br>m1774-2022 - Advanced Internet Computing<ul><li>p1761-2021 - Advanced Internet Computing: Klausur schriftlich</li><li>vl400-2022 - Compulsory Course Work Advanced Internet Computing - Subject theoretical and practical work: Subject theoretical and practical work</li></ul>
ECTS credit points:
6
Stud.IP informationen about this course:
Home institute: Institut für Data Engineering (E-19)
Registered participants in Stud.IP: 86
Postings: 14

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.