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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
Foundations in Organizational Design and Human Resource Management (Seminar) (SE)
Untertitel:
This course is part of the module: Foundations in Organizational Design and Human Resource Management
Semester:
SoSe 24
Veranstaltungstyp:
Seminar (Lehre)
Veranstaltungsnummer:
lv2800_s24
DozentIn:
Prof. Dr. Christian Ringle, Prof. Dr. Tim Schweisfurth
Beschreibung:

Thiscourse is structured as a lecture and a seminar. The lecture focuses on gainingan understanding of the fundamentals of human resource management andorganizational design. The lecture also introduces quantitative and businessanalytics methods for decision making in the field. In the lecture, the basictheoretical concepts are explained and discussed, whereas they are applied throughthe preparation of a seminar thesis in the seminar.

Organizational Design &Human Resource Management

  • The processes of developing organizational structures for small and mid-sized corporations as well as for large multinational enterprises;
  • The adaptation of organizations and their structures to the competitive environment, with special focus on international operating organizations and global markets;
  • Introduction to human resource management from a strategic and international perspective (incl. the typical challenges of international organizations);
  • Key elements of human resource management (incl. design of work, employee recruitment, development, separation & retention);
  • Introduction of methods and models for decision making in organizational design and human resource management.

Possible Applications of the Theoretical Concepts

  • Big data in organizations and human resource analytics;
  • Business analytics and machine learning methods (e.g., factoranalysis, regression analysis, and structural equation modeling);
  • Models for the management of organizations and human resourcemanagement (e.g., job satisfaction and turnover intention, motivation andorganizational commitment).
Leistungsnachweis:
m1733-2021 - Foundations in Organizational Design and Human Resource Management<ul><li>p1686-2021 - Foundations in Organizational Design and Human Resource Management: Klausur schriftlich</li></ul><br>m1733-2022 - Foundations in Organizational Design and Human Resource Management<ul><li>p1686-2022 - Foundations in Organizational Design and Human Resource Management: Subject theoretical and practical work</li></ul>
ECTS-Kreditpunkte:
3
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Management and Decision Sciences [MDS] (W-9)
In Stud.IP angemeldete Teilnehmer: 2

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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