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IEET > Staff > Research Assistants > Anna-Lena Steen, M.Sc.

Anna-Lena Steen

M.Sc.
Research Assistant

Contact

Anna-Lena Steen, 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 4091
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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

2022

Courses

Stud.IP
zur Veranstaltung in Stud.IP Studip_icon
Architectures and Algorithms for Deep-Learning Acceleration
Semester:
WiSe 23/24
Veranstaltungstyp:
Vorlesung (Lehre)
DozentIn:
Prof. Dr.-Ing. Görschwin Fey, M. Sc. Lutz Schammer, Dr. Lennart Bamberg
Beschreibung:
Teaching Person: Dr. Lennart Bamberg (NXP Semiconductors, Hamburg) Dr. Bamber is a Senior Principal AI/ML Architect at NXP Semiconductors in Hamburg, Germany. He is involved in research and design of the most recent architectures for accelerating machine learning applications. Content: Students get a first-hand insight into most recent architectures and advances for hardware acceleration in machine learning. Without such acceleration, newest developments would not be affordable as standard hardware is too power-hungry and does not deliver the computational performance needed.
Bereichseinordnung:
Studiendekanat Elektrotechnik, Informatik und Mathematik
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Eingebettete Systeme (E-13)
In Stud.IP angemeldete Teilnehmer: 81
Anzahl der Dokumente im Stud.IP-Downloadbereich: 12

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.

  • Krammer, Friederike (2024). Entwicklung eines Algorithmus zur Koordinierung flexibler Prosumer zur Netzengpassvermeidung in Niederspannungssträngen.

  • 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
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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