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Philipp Staudt

Philipp Staudt

Sprechstunden: nach Vereinbarung / by appointment
Tel.: +49 (721) 608-48378
philipp staudtJsr7∂kit edu

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


Tätigkeiten

Forschungsinteressen & -methoden

  • Energy Economics und Mechanism Design
  • Applications of Game Theory und agentenbasierter Modellierung
  • Data Mining & Analytics Methods

 

Vorlesungen, Übungen, Seminare

WS 2019/20

  • Vorlesung "Advanced Information Systems"
  • Seminar "Smart Grid Economics"
  • Seminar "Applied Research Seminar: Energy Economics"

SS 2019

  • Vorlesung "Energy Market Engineering"
  • Vorlesung und Übung "Business Data Analytics - Application and Tools"
  • Seminar "Smart Grid Economics"

WS 2018/19

  • Vorlesung und Übung "Smart Grid Applications"
  • Seminar "Smart Grid Economics"

SS 2018

  • Vorlesung und Übung "Energy Market Engineering"
  • Seminar "Smart Grid Economics"

WS 2017/18

  • Seminar "Smart Grid Economics"
  • Seminar "Energieoptimierung im Umfeld von Smart Cities: Eine Fallstudie am Beispiel Karlsruhe"

SS 2017

  • Übung "eEnergy: Markets, Services, Systems"
  • Seminar "Smart Grid Economics"
  • Seminar "Energieoptimierung im Umfeld von Smart Cities: Eine Fallstudie am Beispiel Karlsruhe"

WS 2016/17

  • Seminar "Smart Grid Economics"

 

Lebenslauf

06.2019 Promotion zum Dr. rer. pol. (summa cum laude) mit der Dissertation "Transmission Congestion Management in Electricity Grids - Designing Markets and Mechanisms"
08.2018 Forschungsaufenthalt an der University of California, Berkeley
03.2018 Übernahme der Forschungsgruppenleitung von "Smart Grids & Energy Markets"
09.2017 Forschungsaufenthalt an der Pontificia Universidad Católica de Chile, Santiago
05.2016 Wissenschaftlicher Mitarbeiter am Institut für Informationswirtschaft und Marketing (IISM), Graduiertenkolleg Energiezustandsdaten
04.2016 Masterarbeit: Simulationsbasierte Datenselektion und -reduktion zur Bestimmung der Batteriealterung in Elektrofahrzeugen
10.2013 Aufnahme in die Stiftung der Deutschen Wirtschaft (sdw)
10.2013 Master of Science, Wirtschaftsmathematik, Karlsruher Institut für Technologie (KIT)
10.2012 Verleihung des Deutschlandstipendiums durch das KIT
09.2013 Bachelorarbeit: Preisprognose von Wochenprodukten auf dem deutschen Strommarkt durch ein produktionskostenbasiertes Fundamentalmodell
08.2011 Auslandsstudium an der University of Connecticut (UCONN), Industrial Engineering
10.2009 Bachelor of Science, Wirtschaftsingenieurwesen, Karlsruher Institut für Technologie (KIT)
05.2008 Abitur am Wolfgang-Ernst-Gymnasium, Büdingen

Publikationsliste


Forschungsdaten/Bilder
Vorträge
Smart Grids and Energy Markets.
Staudt, P.; Weinhardt, C.
2018. Stanford Linear Accelerator (SLAC 2018), Stanford, CA, USA, 7. Dezember 2018
Proceedingsbeiträge
Market mechanisms for neighbourhood electricity grids: Design and agent-based evaluation.
Staudt, P.; Köpke, S.; Weinhardt, C.
2019. Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019, 1–16, AIS Electronic Library (AISeL)
Assessing the Economics of Residential Electricity Tariff Selection [in press].
Vom Scheidt, F.; Staudt, P.; Weinhardt, C.
2019. 2nd International Conference on Smart Energy Systems and Technologies (SEST), Porto, Portugal, 9 - 11 September 2019
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
Marketing risk of renewable generators.
Staudt, P.; Jochem, P.; Kimbrough, S.
2019. Proceedings of the Tenth ACM International Conference on Future Energy Systems - e-Energy ’19, Phoenix, AZ, USA, June 25 - 28, 2019, 433–435, ACM, New York (NY). doi:10.1145/3307772.3330178
Transmission grid congestion data and directions for future research.
Rausch, B.; Staudt, P.; Weinhardt, C.
2019. Proceedings of the Tenth ACM International Conference on Future Energy Systems - e-Energy ’19, Phoenix, AZ, USA, June 25 - 28, 2019, 443–446, ACM, New York (NY). doi:10.1145/3307772.3331018
Predicting Redispatch in the German Electricity Market using Information Systems based on Machine Learning.
Staudt, P.; Träris, Y.; Rausch, B.; Weinhardt, C.
2018. ICIS 2018 Proceedings
Liberalized markets for power transmission capacity.
Staudt, P.; Garttner, J.; Richter, B.; Weinhardt, C.
2018. 15th International Conference on the European Energy Market, EEM 2018; Lodz; Poland; 27 June 2018 through 29 June 2018, Art. Nr.: 8469915, IEEE, Piscataway (NJ). doi:10.1109/EEM.2018.8469915
Quantifying Factors for Participation in Local Electricity Markets.
Mengelkamp, E.; Staudt, P.; Gärttner, J.; Weinhardt, C.; Huber, J.
2018. 15th International Conference on the European Energy Market (EEM), Lodz, PL, June 27-29, 2018, 1–5, IEEE, Piscataway, N.J. doi:10.1109/EEM.2018.8469969
The potential of agent-Based simulation for assessing the bilateral-Nodal debate.
Staudt, P.; Gärttner, J.; Weinhardt, C.; Negrete-Pincetic, M.; Lorca, A.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 465–467, ACM, New York (NY). doi:10.1145/3208903.3212063
SCiBER: A new public data set of municipal building consumption.
Staudt, P.; Ludwig, N.; Huber, J.; Hagenmeyer, V.; Weinhardt, C.
2018. 9th ACM International Conference on Future Energy Systems (e-Energy), Karlsruhe, Germany, 12 - 15 June 2018, 618–621, ACM, New York (NY). doi:10.1145/3208903.3210281
Using vehicle-to-grid concepts to balance redispatch needs: A case study in Germany.
Staudt, P.; Gärttner, J.; Schmidt, M.; Weinhardt, C.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 80–84, ACM, New York (NY). doi:10.1145/3208903.3208926
Assessment of Market Power in Local Electricity Markets with regards to Competition and Tacit Collusion.
Staudt, P.; Gärttner, J.; Weinhardt, C.
2018. Multikonferenz Wirtschaftsinformatik, Data driven X - Turning Data into Value, Lüneburg, Germany, March 06-09, 2018. Bd.: 3. Ed.: P. Drews, 912–923, Leuphana Universität, Lüneburg
Analysis of redispatch and transmission capacity pricing on a local electricity market setup.
Staudt, P.; Wegner, F.; Gärttner, J.; Weinhardt, C.
2017. 14th International Conference on the European Energy Market (EEM), Dresden, Germany, 6th - 9th June 2017, Art. Nr. 17042716, IEEE, Piscataway, NJ. doi:10.1109/EEM.2017.7981959
Electricity and telecommunication markets: A discussion of market designs.
Staudt, P.; Gärttner, J.; Weinhardt, C.
2017. 14th International Conference on the European Energy Market (EEM), Dresden, June 6-9, 2017, 6 S., IEEE, Piscataway, NJ. doi:10.1109/EEM.2017.7981956
Trading on Local Energy Markets : A Comparison of Market Designs and Bidding Strategies.
Mengelkamp, E.; Staudt, P.; Gärttner, J.; Weinhardt, C.
2017. Proceedings of the 14th International Conference on the European Energy Market (EEM), Dresden, Germany, 6th - 9th June 2017, IEEE, Piscataway (NJ). doi:10.1109/EEM.2017.7981938
Smart Data Selection and Reduction for Electric Vehicle Service Analytics.
Schoch, J.; Staudt, P.; Setzer, T.
2017. Proceedings of the 50th Hawaii International Conference on System Sciences (HICSS), Waikoloa, HI, USA, January 4-7, 2017, 1592–1601, University of Hawai’i at Manoa, Honolulu, HI
Zeitschriftenaufsätze
A comprehensive modelling framework for demand side flexibility in smart grids.
Barth, L.; Ludwig, N.; Mengelkamp, E.; Staudt, P.
2018. Computer science - research and development, 33 (1-2), 13–23. doi:10.1007/s00450-017-0343-x

Betreute Abschlussarbeiten (Auszug)

 
Design and Agent-Based Evaluation of a Market Mechanism for Neighborhood Electricity Grids
[Bachelorthesis]
 
Applying machine learning to reveal gaming opportunities on electricity markets
[Masterthesis]
 
Identification of Bidding Strategies in the German Control Reserve Market Using Data Analytics
[Bachelorthesis]
 
Using deep-learning approaches to predict redispatch in the German electricity system
[Bachelorthesis]
 
Forecasting Political Elections: An Artificial Neural Network Approach
[Masterthesis]
 
Data Analytics in Energy Economics: Identifying Strategies from Data
[Masterthesis]
 
Big Data Analytics in energy economics: Strategic bidding under redispatch regimes
[Bachelorthesis]
 
Behavioral Economics and Sustainability
[Masterthesis]