Logo Institute of Electrical Power and Energy Technology
Institute of Electrical Power and Energy Technology
Logo Institute of Electrical Power and Energy Technology
Institute of Electrical Power and Energy Technology
DE
EN
Search
DE
EN
Search
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
Logo

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
Sustainable Water Management (PBL)
Untertitel:
This course is part of the module: Sustainable Water Management and Microbiology of Water Supply, Sustainable Water Management and Microbiology of Water Systems
Semester:
WiSe 23/24
Veranstaltungstyp:
PBL -Projekt-/problembasierte Lehrveranstaltung (Lehre)
Veranstaltungsnummer:
lv406_w23
DozentIn:
Prof. Dr. Mathias Ernst, Dr. Muhammad Usman, Ute Schuppert, Petra Weiss, Muhammad Ismahil, Natalie Lüdemann
Beschreibung:

The course provides knowledge on the sustainable treatment and management of the resource water. Used water is an alternative resource and can be recycled in any field of the urban water cycle after adequate treatment. The resulting water quality is the decisive issue. In the course the central quality parameters of drinking- as well as wastewater assessment will be presented and discussed. Moreover the legal frame for water reuse in the EU and examples from all over the world will be communicated. The students receive the task to develop a conceptual design study of an indirect potable reuse facility in given boundary conditions. To fulfill this task, the students will work in small groups representing a consulting firm. Later in the course the firms will present their concepts. In preparation to the team presentation further knowledge on alternative water resources and sustainable management will be provided. International case studies will be presented and discussed. Next to the communication of technical details, planning tools for the implementation of alternative water management will be given also Option for an effective public perception program of later water users. 
Leistungsnachweis:
620 - Sustainable Water Management and Microbiology of Water Supply<ul><li>620 - Sustainable Water Management and Microbiology of Water Supply: Klausur schriftlich</li></ul><br>621 - Sustainable Water Management and Microbiology of Water Supply<ul><li>620 - Sustainable Water Management and Microbiology of Water Supply: Klausur schriftlich</li><li>820 - Sustainable Water Management and Microbiology of Water Supply - Presentation: Presentation</li></ul><br>m1311-2020 - Sustainable Water Management and Microbiology of Water Systems<ul><li>820 - Sustainable Water Management and Microbiology of Water Supply - Presentation: Presentation</li><li>p1148 - Sustainable Water Management and Microbiology of Water Systems: Klausur schriftlich</li></ul>
ECTS-Kreditpunkte:
3
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Wasserressourcen und Wasserversorgung (B-11)
In Stud.IP angemeldete Teilnehmer: 96
Anzahl der Dokumente im Stud.IP-Downloadbereich: 44

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
Links
Map and Directions
Data Privacy
Imprint