Frederik vom Scheidt

Frederik vom Scheidt

  • Karlsruhe Institute of Technology (KIT)
    Fakultät für Wirtschaftswissenschaften
    Institut für Wirtschaftsinformatik und Marketing
    Kaiserstraße 89, 76133 Karlsruhe

Activities

Research interests & methods

  • Optimization of Hydrogen Supply Chains and their Integration into the Electricity System
  • Data Analytics & Machine Learning on Smart Meter Data
  • Economic Analyses of Electricity Tariffs and their Effects

Lectures, tutorials, seminars

SS 2021

  • Seminar "Smart Grid and Energy Markets"

WS 2020/21

  • Seminar "Smart Grid and Energy Markets"
  • Seminar "Applied Research in Energy Economics"

SS 2020

  • Seminar "Smart Grid and Energy Markets"
  • Seminar "Applied Research in Energy Economics"

WS 2019/20

  • Seminar "Smart Grid Economics"

SS 2019

  • Vorlesung “Energy Market Engineering“
  • Seminar "Smart Grid Economics"

WS 2018/19

  • Übung “Smart Grid Applications”
  • Seminar "Smart Grid Economics"

 

Curriculum vitae

since 10 / 2018 Research Assistant at the Institute of Information Systems and Marketing (IISM), Research group "Smart Grids & Energy Markets"
04 / 2019 Visiting researcher at the Massachusetts Institute of Technology (MIT), USA
09 / 2018 M. Sc. Industrial Engineering and Management, Karlsruhe Institut of Technology (KIT)
08 / 2018 Master Thesis at the Massachusetts Institute of Technology (MIT), USA
01 / 2017 Visiting student at the Royal Institute of Technology (KTH) Stockholm, Sweden
10 / 2015 Student research assistant for Smart Grid Integration, Forschungszentrum Informatik
08 / 2015 Student research assistant for decentralized energy systems and grids, KIT
04 / 2015 B. Sc. Industrial Engineering and Management, KIT

Bachelor Thesis: Development and implementation of a charging strategy that reduces CO2 emissions caused by electric cars in France and Germany

Publications


Electricity Tariff Engineering for Integrated Energy Systems. PhD dissertation
Scheidt, F. vom
2022, April 21. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000144723
Performance benchmarking of power-to-gas plants using Composite Indicators
Heymann, F.; Rüdisüli, M.; Scheidt, F. vom; Camanho, A. S.
2021. International Journal of Hydrogen Energy. doi:10.1016/j.ijhydene.2021.10.189
Probabilistic Forecasting of Household Loads: Effects of Distributed Energy Technologies on Forecast Quality
Scheidt, F. vom; Dong, X.; Bartos, A.; Staudt, P.; Weinhardt, C.
2021. e-Energy ’21: The Twelfth ACM International Conference on Future Energy Systems Virtual Event Italy 28 June, 2021- 2 July, 2021, 231–238, Association for Computing Machinery (ACM). doi:10.1145/3447555.3464861
The effects of electricity tariffs on cost-minimal hydrogen supply chains and their impact on electricity prices and redispatch costs
Scheidt, F. vom; Qu, J.; Staudt, P.; Mallapragada, D.; Weinhardt, C.
2021. Proceedings of the 54th Hawaii International Conference on System Sciences, University of Hawaii. doi:10.24251/HICSS.2021.401
Forecasting Energy Technology Diffusion in Space and Time: Model Design, Parameter Choice and Calibration
Heymann, F.; Scheidt, F. vom; Soares, F. J.; Duenas, P.; Miranda, V.
2021. IEEE Transactions on Sustainable Energy, 12 (2), 802–809. doi:10.1109/TSTE.2020.3020426
Vehicle Scheduling and refueling of Hydrogen Buses with On-site Electrolysis
Golla, A.; Scheidt, F. vom; Röhrig, N.; Staudt, P.; Weinhardt, C.
2021. Informatik 2020 - Back to the future. Hrsg.: R. H. Reussner, 795–806, Gesellschaft für Informatik e.V.  (GI). doi:10.18420/inf2020_70
The Efficiency and Distributional Effects of Alternative Residential Electricity Rate Designs
Burger, S. P.; Knittel, C. R.; Perez-Arriaga, I. J.; Schneider, I.; Scheidt, F. vom
2020. The energy journal, 41 (1), 199–239. doi:10.5547/01956574.41.1.sbur
The German Electricity System in 2030: Data on Consumption, Generation, and the Grid
Scheidt, F. vom; Müller, C.; Staudt, P.; Weinhardt, C.
2020, November 3. doi:10.5445/IR/1000125576
The German electricity system in 2030: data on consumption, generation, and the grid
Scheidt, F. vom; Müller, C.; Staudt, P.; Weinhardt, C.
2020, October 8. doi:10.5445/IR/1000124167
Data analytics in the electricity sector – A quantitative and qualitative literature review
Scheidt, F. vom; Medinová, H.; Ludwig, N.; Richter, B.; Staudt, P.; Weinhardt, C.
2020. Energy and AI, 1, Article no: 100009. doi:10.1016/j.egyai.2020.100009
The Efficiency and Distributional Effects of Alternative Residential Electricity Rate Designs
Burger, S. P.; Knittel, C. R.; Pérez-Arriaga, I. J.; Schneider, I.; Scheidt, F. vom
2019. National Bureau of Economic Research. doi:10.3386/w25570
Smart Peak Shaving für Industriekunden – Lastspitzen-Vorhersage mit Maschinellem Lernen
Scheidt, F. vom; Becker, J.; Huber, J.
2019. FZI Open Innovation (2019), Karlsruhe, Germany, October 16, 2019
DER Adopter Analysis using Spatial Autocorrelation and Information Gain Ratio under different Census-data Aggregation Levels
Heymann, F.; Lopes, M.; Scheidt, F. vom; Silva, J. M.; Duenas Martinez, P.; Soares, F.; Miranda, V.
2020. IET Renewable power generation, 14 (1), 63–70. doi:10.1049/iet-rpg.2019.0322
Assessing the Economics of Residential Electricity Tariff Selection
Scheidt, F. vom; Staudt, P.; Weinhardt, C.
2019. Proceedings of the 2nd International Conference on Smart Energy Systems and Technologies (SEST), Porto, Portugal, 9 - 11 September 2019, Article No.8849143, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEST.2019.8849143
Behavioral Studies In Energy Economics: A Review And Research Framework
Staudt, P.; Golla, A.; Richter, B.; Schmidt, M.; Scheidt, F. vom; Weinhardt, C.
2019. 42nd IAEE International Conference: Local Energy, Global Markets (IAEE 2019), Montreal, CDN, May 29 - June 1, 2019
Towards Smart Distribution Grids: A Structured Market Engineering Review
Dauer, D.; Scheidt, F. vom; Weinhardt, C.
2017. Proceedings of the Second KSS Research Workshop : Karlsruhe, Germany, February 2016. Ed.: P. Hottum, 47–58, Karlsruher Institut für Technologie (KIT)
Towards Smart Distribution Grids: A Structured Market Engineering Review
Dauer, D.; Scheidt, F. vom; Weinhardt, C.
2016. Proceeings of the Second Karlsruhe Service Summit Research Workshop, Karlsruhe, 25. - 26. Februar 2016

Supervised Master's Theses

Data Analytics in the Electricity Sector – A Data Mining driven Review

Probabilistic Forecasting of Individual Electrical Load Using GRU Considering Weather Effects

Optimal Selection of Time-varying Electricity Tariffs – A Multi-Classification Problem

Industry peak load forecasting with machine learning

Reduktion von Spitzenlasten in Niederspannungsnetzen mit aggregierten Haushaltsbatterien - Effekte von Vorhersagemethoden und Netzentgelten

Klassifikation von Haushaltslastkurven hinsichtlich dezentraler Energietechnologien und Stromtarifen unter Verwendung einer LSTM Architektur

Optimization and Machine Learning for Energy Services

Cost-minimal Siting and Sizing of Domestic Power-to-Gas plants for Hydrogen Fueled Transportation: The impact of electricity tariffs