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Prof. Dr. Florian Ziel

Prof. Dr. Florian Ziel
Universität Duisburg-Essen
Fakultät für Wirtschaftswissenschaften
Juniorprofessur für Umweltökonomik, insb. Ökonomik erneuerbarer Energien
Universitätsstraße 12
45141 Essen
R11 T07 C12
+49 201 18-37608
Consultation Hour:
nach Vereinbarung

Curriculum Vitae

since 07.2020 Appointed Member of the Junge Akademie at the Berlin-Brandenburg Academy of Sciences and Humanities (BBAW) and the German National Academy of Sciences Leopoldina

since 02.2017 Assistant Professor for Environmental Economics, esp. Economics for Renewable Energies, University of Duisburg-Essen, Germany (positve evaluation on 11.2019, equivalent to habilitation)

04.2019-09.2019 Parental leave (10% part time employed as Assistant Professor)

01.2019-04.2019 Visiting researcher in the research programm 'The Mathematics for Energy Systems', Isaac Newton Institute, Cambridge, UK

09.2012-01.2017 Research Associate, Faculty of Business Administration and Economics, European University Viadrina, Frankfurt (Oder), Germany

07.2016-12.2016 Academic Visitor at the Centre for Industrial and Applied Mathematics (OCIAM), University of Oxford, Oxford, UK

09.2012-06.2016 PhD in Business Administration and Economics at the European University Viadrina, Frankfurt (Oder), Germany

06.2015-09.2015 DAAD-visiting research at the European Centre for Advanced Research in Economics and Statistics (ECARES) of the Université libre de Bruxelles (ULB), Brussels, Belgium

10.2008-02.2013 Diplom in Mathematics, Technical University of Dresden, Dresden, Germany

09.2011-08.2012 M.Sc. in Statistics, University College Dublin, Dublin, Ireland


  • Michał Narajewski, Florian Ziel: Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories. In: Applied Energy (2020).
  • Jens Kley-Holsteg, Florian Ziel: Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with Lasso. In: Journal of Water Resources Planning and Management, Vol 146 (2020) No 10. doi:10.1061/(ASCE)WR.1943-5452.0001268
  • Ziel, Florian: The energy distance for ensemble and scenario reduction, 2020.
  • Michał Narajewski, Florian Ziel: Changes in Electricity Demand Pattern in Europe Due to COVID-19 Shutdowns. In: IAEE Energy Forum (2020), p. 44-47.
  • Ziel, Florian: Load Nowcasting: Predicting Actuals with Limited Data. In: Energies, Vol 13 (2020) No 6. doi:10.3390/en13061443
  • Bahman Rostami-Tabar, Florian Ziel: Anticipating special events in Emergency Department forecasting. In: International Journal of Forecasting (2020). doi:10.1016/j.ijforecast.2020.01.001
  • Peru Muniain, Florian Ziel: Probabilistic forecasting in day-ahead electricity markets: Simulating peak and off-peak prices. In: International Journal of Forecasting (2020). doi:10.1016/j.ijforecast.2019.11.006
  • Michał Narajewski, Florian Ziel: Estimation and Simulation of the Transaction Arrival Process in Intraday Electricity Markets. In: Energies, Vol 12 (2019) No 23. doi:10.3390/en12234518
  • Florian Ziel, Kevin Berk: Multivariate Forecasting Evaluation: On Sensitive and Strictly Proper Scoring Rules, 2019.
  • Michał Narajewski, Florian Ziel: Econometric modelling and forecasting of intraday electricity prices. In: Journal of Commodity Markets (2019). doi:10.1016/j.jcomm.2019.100107
  • Christopher Kath, Florian Ziel: Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets, 2019.
  • Sergei Kulakov, Florian Ziel: The impact of renewable energy forecasts on intraday electricity prices.
  • Sergei Kulakov, Florian Ziel: Determining the Demand Elasticity in a Wholesale Electricity Market.
  • Christopher Kath, Florian Ziel: The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts. In: Energy Economics, Vol 76 (2018), p. 411-423. doi:10.1016/j.eneco.2018.10.005
  • Florian Ziel, Rick Steinert: Probabilistic mid- and long-term electricity price forecasting. In: Renewable and Sustainable Energy Reviews, Vol 94 (2018), p. 251-266. doi:10.1016/j.rser.2018.05.038
  • Ziel, Florian: Quantile Regression for Qualifying Match of GEFCom2017 Probabilistic Load Forecasting. In: International Journal of Forecasting (2018). doi:10.1016/j.ijforecast.2018.07.004
  • Rick Steinert, Florian Ziel: Short-to Mid-term Day-Ahead Electricity Price Forecasting Using Futures. In: The Energy Journal (2018). doi:10.5547/01956574.40.1.rste
  • Florian Ziel, Rafal Weron: Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks. In: Energy Economics, Vol 70 (2018), p. 396-420. doi:10.1016/j.eneco.2017.12.016
  • Uniejewski, Bartosz; Weron, Rafal; Ziel, Florian: Variance Stabilizing Transformations for Electricity Spot Price Forecasting. In: IEEE Transactions on Power Systems, Vol 99 (2017) No 1. doi:10.1109/TPWRS.2017.2734563
  • Yunusov, Timur; Haben, Stephen; Lee, Tamsin; Ziel, Florian; Holderbaum, William; Potter, Ben: Evaluating the effectiveness of storage control in reducing peak demand on low voltage feeders. In: 24th International Conference & Exhibition on Electricity Distribution (CIRED). IET, 2017. doi:10.1049/oap-cired.2017.0626
  • Ziel, Florian: Modeling the impact of wind and solar power forecasting errors on intraday electricity prices. In: 14th International Conference on the European Energy Market (EEM 2017). IEEE, 2017. doi:10.1109/EEM.2017.7981900
  • Ziel, Florian: Forecasting Electricity Spot Prices Using Lasso: On Capturing the Autoregressive Intraday Structure. In: IEEE Transactions on Power Systems, Vol 31 (2016) No 6, p. 4977-4987. doi:10.1109/TPWRS.2016.2521545
  • Ziel, Florian; Croonenbroeck, Carsten; Ambach, Daniel: Forecasting wind power - Modeling periodic and non-linear effects under conditional heteroscedasticity. In: Applied Energy, Vol 177 (2016), p. 285-297. doi:10.1016/j.apenergy.2016.05.111
  • Florian Ziel, Rick Steinert: Electricity price forecasting using sale and purchase curves: The X-Model. In: Energy Economics, Vol 59 (2016), p. 435-454. doi:10.1016/j.eneco.2016.08.008
  • Ziel, Florian: Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR-ARCH type processes. In: Computational Statistics & Data Analysis, Vol 100 (2016), p. 773-793. doi:10.1016/j.csda.2015.11.016
  • Florian Ziel, Bidong Liu: Lasso estimation for GEFCom2014 probabilistic electric load forecasting. In: International Journal of Forecasting, Vol 32 (2016) No 3, p. 1029-1037. doi:10.1016/j.ijforecast.2016.01.001
  • Ziel, Florian: Modelling and forecasting electricity load using lasso methods. In: Modern Electric Power Systems (MEPS), 2015. IEEE, 2016, p. 1-6. doi: 10.1109/MEPS.2015.7477217
  • Ziel, Florian; Steinert, Rick; Husmann, Sven: Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity markets. In: Energy Economics, Vol 51 (2015), p. 430-444. doi:10.1016/j.eneco.2015.08.005
  • Ziel, Florian: Quasi-maximum Likelihood Estimation of Periodic Autoregressive, Conditionally Heteroscedastic Time Series. In: Steland, A.; Rafajłowicz, E.; Szajowski, K. (Ed.): Stochastic Models, Statistics and Their Applications. Springer Proceedings in Mathematics & Statistics. Springer, 2015, p. 207-214. doi:10.1007/978-3-319-13881-7_23
  • Ziel, Florian; Steinert, Rick; Husmann, Sven: Efficient modeling and forecasting of electricity spot prices. In: Energy Economics, Vol 47 (2015), p. 98-111. doi:10.1016/j.eneco.2014.10.012