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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 22a,
21079 Hamburg
Building HS22a, Room 2.002
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
Advanced Research Seminar (SE)
Untertitel:
This course is part of the module: Selected Topics of Mechanical Engineering and Management, Selected Topics of Mechanical Engineering and Management (Alternative A: 12 CP), Selected Topics of Mechanical Engineering and Management (Alternative B: 6 CP)
Semester:
SoSe 24
Veranstaltungstyp:
Seminar (Lehre)
Veranstaltungsnummer:
lv936_s24
DozentIn:
Cornelius Herstatt
Beschreibung:

In this course students will be taught to understandthe research process and to interpret scientific papers as a preparation tostarting their own scientific initiatives (e.g. Master-Thesis work). Students will work in groups and individually. Eachgroup is expected to work out a presentation summarizing aspects of theresearch process (including practical examples) and to present and discuss itin class. Further, students will work out a written seminar paper.
Leistungsnachweis:
686 - Selected Topics of Mechanical Engineering and Management<ul><li>600 - Fatigue & Damage Tolerance: mündlich</li><li>611 - Project Management Methods: Klausur schriftlich</li><li>625 - Corporate Finance: Klausur schriftlich</li><li>630 - Human Resource Management and Organization Design: Klausur schriftlich</li><li>630 - Lightweight Design Practical Course: mündlich</li><li>655 - Structural Mechanics of Fibre Reinforced Composites: mündlich</li><li>800 - Accounting: written or oral</li><li>800 - Advanced Research Seminar: schriftliche Ausarbeitung</li><li>850 - International Law for Engineers: Klausur schriftlich</li><li>851 - International Law for Engineers - Advanced Seminar: schriftliche Ausarbeitung</li></ul><br>687 - Selected Topics of Mechanical Engineering and Management<ul><li>600 - Fatigue & Damage Tolerance: mündlich</li><li>611 - Project Management Methods: Klausur schriftlich</li><li>625 - Corporate Finance: Klausur schriftlich</li><li>630 - Human Resource Management and Organization Design: Klausur schriftlich</li><li>630 - Lightweight Design Practical Course: mündlich</li><li>655 - Structural Mechanics of Fibre Reinforced Composites: mündlich</li><li>800 - Accounting: written or oral</li><li>800 - Advanced Research Seminar: schriftliche Ausarbeitung</li><li>850 - International Law for Engineers: Klausur schriftlich</li><li>851 - International Law for Engineers - Advanced Seminar: schriftliche Ausarbeitung</li></ul><br>tm936 - Advanced Research Seminar (seminar)<ul><li>800 - Advanced Research Seminar: schriftliche Ausarbeitung</li></ul>
ECTS-Kreditpunkte:
2
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Technologie u. Innovationsmanagement (W-7)
In Stud.IP angemeldete Teilnehmer: 1

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 22a
21079 Hamburg
E-mail : ieet(at)tuhh.de
Phone : +49 40 42878 3213
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