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

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

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
Japanese Corporations and Asia Pacific (APU) (VL)
Untertitel:
This course is part of the module: Japanese Corporations and Asia Pacific (APU)
Semester:
WiSe 23/24
Veranstaltungstyp:
Vorlesung (Lehre)
Veranstaltungsnummer:
lv1932_w23
DozentIn:
unbekannte Lehrperson
Beschreibung:

I. Competitive Advantages of Country


Porter, Michael (1990) The Competitive Advantage of Nations, New York, The Free Press.(Chapter 3)
World Economic Forum (2013) The Global Competitiveness Report 2013-2014, Geneva, World Economic Forum.

II. Japanese Management Systems


Abegglen, James (2006) 21st Century Japanese Management: New Systems, lasting value, New York, Palgrave Macmillan (chapter 4)
Flath, David (2005)The Japanese Economy (2nd Edition), Oxford, Oxford University Press (Chapter 15)
Itagaki, Hiroshi (2011) “The Japanese Management System and the Corporate Strategies of Japanese Companies” in Kawamura, T (ed.) Hybrid Factories in the United States, Oxford, Oxford University Press.

III. Japanese Production Management 


Imai Masaaki (1997) Gemba Kaizen: a commonsense, low-cost approach to management, New York, MacGraw-Hill. (Chapter 1)
Urata Shujiro (1999) “Intrafirm Technology Transfer by Japanese Multinationals in Asia”, in Encarnation (ed.), Japanese Multinationals in Asia, Oxford, Oxford University Press.

IV. Industrial Organisation in Japan (Keiretsu & Sogo Shosha)


Flath, David (2005)The Japanese Economy (2nd Edition), Oxford, Oxford University Press (Chapter 12)
Chen, Min (2004) Asian Management Systems (2nd edition), London, Thomson. (Chapter 12)

V. Government-Business Relationship in Japan and the Asia Pacific


Chen, Min (2004) Asian Management Systems (2nd edition), London, Thomson. (Chapter 11)
Chiu, Stephen and Lui, Tai-lok (1998) “ The Role of the State in Economic Development”, in Thompson, G. (ed.) Economic Dynamism in the Asia-Pacific, London, Routledge.

VI.  Japanese Foreign Economic Policies and FDI in the Asia Pacific 


Natsuda, Kaoru (2008) “Japan’s Foreign Economic Policies towards East Asia in the Post War Era”, Asian Profile, vol. 36, no.5,pp.455-468
Farrell, Roger (2008) Japanese Investment in the World Economy, Cheltenham, Edward Elgar.

VII. Japanese Production Networks in the Asia Pacific


Hatch, Walter and Yamamura Kozo (1996) Asia in Japan’s Embrace: Creating a Regional Production, Cambridge, Cambridge University Press. (Chapter 2)

VIII. Investment Promotion Presentation 

VIIII. Japanese Corporations and Future of the Asia Pacific

Leistungsnachweis:
m1357 - Japanese Corporations and Asia Pacific (APU)<ul><li>820 - Japanese Corporations and Asia Pacific (APU): Klausur schriftlich</li></ul>
ECTS-Kreditpunkte:
4
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: unbekanntes Institut
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.