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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
link to course in Stud.IP Studip_icon
Seminare.EIM: Advanced Topics in Computer Architecture (CSBS, IIWBS, CSMS, IIWMS, ETMS, IMPMM)
Semester:
WiSe 23/24
Course type:
Seminar
Lecturer:
Dr. Anna Katharina Kirf, Prof. Dr. Sohan Lal
Description:
It is a seminar course where we will study the proceedings of the top computer architecture conferences such as the International Symposium on Computer Architecture (ISCA), and International Symposium on Micro-architecture (MICRO)), covering advanced research topics on multi-/many-core processors, graphics processors, and machine learning accelerators. You will select 2-3 papers as per your interest. You will read, discuss, and present these papers in class, critically analyzing the main research ideas. A review paper will also be written about the selected papers, thereby learning how to write a paper in the field of computer architecture. The evaluation will be based on the paper's presentation and a review paper. Your participation in discussions is expected and will also be counted toward the final grade.
Learning organisation:
Presentation A list of starting papers for each topic along with a list of top conferences in computer architecture will be given. You can choose the second and third papers independently, however, it is suggested to discuss the selection of papers with the instructor. When you present papers, be prepared to answer the questions from the instructor and fellow students. Review Paper A review paper about the selected papers will be written. The structure of the review paper will be discussed in class. Each student will review a paper of a fellow student. Course Outcome After the course completion, participants can expect to have acquired the necessary knowledge and skills to understand and critically analyze the research in the field of computer architecture.
Performance accreditation:
• Papers presentation: 50% • Review paper: 50% • The criteria for the evaluation of presentations and review papers will be discussed in the class.
Area classification:
Studiendekanat Elektrotechnik, Informatik und Mathematik
ECTS credit points:
3
Stud.IP informationen about this course:
Home institute: Studiendekanat Elektrotechnik, Informatik und Mathematik (E)
Registered participants in Stud.IP: 15
Documents: 9

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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