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IEET > Staff > Research Assistants > Simon Stock, M.Sc.

Simon Stock

M.Sc.
Research Assistant

Contact

Simon Stock, M. Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
Jederzeit
Harburger Schloßstraße 36,
21079 Hamburg
Building HS36, Room C3 0.006
Phone: +49 40 42878 2378
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Research Projects

Applications of AI in distribution system operation

Applications of AI in distribution system operation

Hamburg University of Technology (TUHH); Duration: 2020 to 2024

to the project page
VeN²uS
Networked grid protection systems - Adaptive and interconnected

VeN²uS

Networked grid protection systems - Adaptive and interconnected

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2024

to the project page

Research Focus

Optimal operation and energy managment in electrical distribution grids (Smart Grids) using artifical intelligence

Publications

TUHH Open Research (TORE)

2023

2022

2021

Courses

Stud.IP
zur Veranstaltung in Stud.IP Studip_icon
Process Imaging (PBL)
Untertitel:
This course is part of the module: Process Imaging
Semester:
SoSe 24
Veranstaltungstyp:
PBL -Projekt-/problembasierte Lehrveranstaltung (Lehre)
Veranstaltungsnummer:
lv2724_s24
DozentIn:
Prof. Dr. Alexander Penn, Dr. rer. nat. Stefan Benders, Dr. Maria Raquel Serial, M. Sc, Melis Özdemir
Beschreibung:

Content: The module focuses primarily on discussingestablished imaging techniques including (a) optical and infrared imaging, (b)magnetic resonance imaging, (c) X-ray imaging and tomography, and (d)ultrasound imaging and also covers a range of more recent imaging modalities.The students will learn:

  1. whatthese imaging techniques can measure (such as sample density or concentration,material transport, chemical composition, temperature),
  2. howthe measurements work (physical measurement principles, hardware requirements,image reconstruction), and
  3. howto determine the most suited imaging methods for a given problem.

Learning goals: After the successful completion ofthe course, the students shall:

  1. understandthe physical principles and practical aspects of the most common imagingmethods,
  2. beable to assess the pros and cons of these methods with regard to cost,complexity, expected contrasts, spatial and temporal resolution, and based onthis assessment
  3. beable to identify the most suited imaging modality for any specific engineeringchallenge in the field of chemical and bioprocess engineering.
Leistungsnachweis:
m1702-2021 - Process Imaging<ul><li>p1654-2021 - Process Imaging: Klausur schriftlich</li></ul>
ECTS-Kreditpunkte:
3
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Prozessbildgebung (V-10)
In Stud.IP angemeldete Teilnehmer: 39
Anzahl der Postings im Stud.IP-Forum: 2
Anzahl der Dokumente im Stud.IP-Downloadbereich: 20

Supervised Theses

ongoing
completed

2021

  • Hund, P. (2021). Modellierung eines elektrischen Netzes zur Demonstration des Einflusses von virtueller Trägheit durch umrichterbasierte Energieanlagen.

  • Hund, P. (2021). Koordinierte Bereitstellung von virtueller Trägheit durch erneuerbare umrichterbasierte Energieanlagen in Verteilnetzen mithilfe von künstlicher Intelligenz.

  • Möller, P. (2021). Erfassung der Knotenspannung in Niederspannungsnetzen auf Basis von dezentralen Messeinrichtungen mithilfe von Machine learning.

  • Plant, R. (2021). Estimation of Power System Inertia in an Inverter-Dominated Distribution Grid Using Machine Learning.

2020

  • Dressel, M. (2020). Modellierung der Zustandsschätzung eines elektrischen Netzes mit Hilfe von Graph neuronalen Netzen.

  • Schmidt, M. (2020). Vorhersage von zuverlässig bereitstellbarer Regelleistung aus Erneuerbaren Energien mithilfe von neuronalen Netzen.

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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