Former Employees

Former Academic Staff
M.Sc. Tobias Stein
- Room:
- R11 T07 C23
- Phone:
- +49 201 18-36706
- Fax:
- +49 201 18-32703
- Email:
- Tobias.Stein (at) uni-due.de
- Consultation Hour:
- by arrangement
- Address:
- Lehrstuhl für Energiewirtschaft
Universität Duisburg-Essen, Campus Essen
Fakultät für Wirtschaftswissenschaften
Universitätsstraße 12
45141 Essen
Curriculum Vitae:
since 12/2019
University Duisburg Essen
Academic Staff at the Chair for Management Science and Energy Economics
2016 - 2019 University Duisburg Essen
Master of Sciene in Economics
2012 - 2016 Heinrich-Heine-Universität Düsseldorf
Bachelor of Sciene in Economics
Practical experince
2019: Masterthesis at innogy SE - Bereich „Regulation Management“
2018 - 2019: Research Assiatan at the Chair for Management Science and Energy Economics
2015 - 2016: Working student at E.ON Energie Kundenservice GmbH - Bereich "Systems and Projects"
2014 - 2015: Working student at E.ON Energie Deutschland GmbH - Bereich "Offer process"
Publications:
- Stein, Tobias; Sieger, Lisa; Weber, Christoph: Disentangling Small-Scale Solar Photovoltaic Adoption: A Spatial Analysis of Decision Factors and Localized Interactions in Germany. In: Energy and Buildings, Vol2025 (2025). doi:10.1016/j.enbuild.2025.116029 Details Citation
- Jahns, Christopher; Stein, Tobias; Höckner, Jonas; Weber, Christoph: Prevention of strategic behaviour in local flexibility markets using market monitoring – Concept, application example and limitations. In: Energy Policy, Vol174 (2023), No C. doi:10.1016/j.enpol.2023.113427Abstract Details Full textCitation
Market-based congestion management has been proposed as a more efficient means of coping with congestion issues in zonal market designs. However, strategic behaviour has been identified as a fundamental problem of market-based approaches. This paper focuses on strategic behaviour in the setting of a local flexibility market. In this type of market, trading occurs in parallel with the intraday market and flexibility is verified by reporting baselines through a verification platform. Under these conditions, market monitoring based on statistical tests is presented as a countermeasure. By implementing tests that are robust against autocorrelation and based on the illustrative example, it is shown that the identification of strategic behaviour is possible. In combination with appropriate regulatory sanctioning, strategic behaviour can become less attractive and, in the best case, be prevented leading to a reduction in congestion management costs. The simplified example presented in this paper can serve as a basis for more complex use cases where additional factors need to be considered.
