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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
Numerical Mathematics I (VL)
Subtitle:
This course is part of the module: Numerical Mathematics I
Semester:
WiSe 23/24
Course type:
Lecture
Course number:
lv417_w23
Lecturer:
Prof. Dr. Sabine Le Borne
Description:
  1. Finite precision arithmetic, error analysis, conditioning and stability
  2. Linear systems of equations: LU and Cholesky factorization, condition
  3. Interpolation: polynomial, spline and trigonometric interpolation
  4. Nonlinear equations: fixed point iteration, root finding algorithms, Newton's method
  5. Linear and nonlinear least squares problems: normal equations, Gram Schmidt and Householder orthogonalization, singular value decomposition, regularizatio, Gauss-Newton and Levenberg-Marquardt methods
  6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm
  7. Numerical differentiation
  8. Numerical integration: Newton-Cotes rules, error estimates, Gauss quadrature, adaptive quadrature
Performance accreditation:
310 - Numerical Mathematics I<ul><li>310 - Numerical Mathematics I: Klausur schriftlich</li></ul>
ECTS credit points:
3
Stud.IP informationen about this course:
Home institute: Institut für Mathematik (E-10)
Registered participants in Stud.IP: 282
Documents: 28

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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