Articles & Reports


Hansen, ME, Nystrup, P, Møller, JK & Madsen, H 2023, ‘Reconciliation of wind power forecasts in spatial hierarchies‘, Wind Energy, vol. 26, no. 6, pp. 615-632.

Møller, J. K., Nystrup, P., & Madsen, H. (Accepted/In press). Likelihood-based inference in temporal hierarchies. International Journal of Forecasting.

Wang, Qin, Tuohy, Aidan, Ortega-Vazquez, Miguel, Bello, Mobolaji, Ela, Erik, Kirk-Davidoff, Daniel, Hobbs, William B., Ault, David J., and Philbrick, Russ. Quantifying the value of probabilistic forecasting for power system operation planning. United Kingdom: N. p., 2023. Web. doi:10.1016/j.apenergy.2023.121254.


Corinna Möhrlen, John Zack, Gregor Giebel. IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions. 370 pp. Elsevier Academic Press, November 11, 2022. ISBN: 9780443186813. DOI: 10.1016/C2021-0-03549-5 — Link to OpenAccess Book (Download)

Clifton, A., S. Barber, A. Stökl, H. Frank and T. Karlsson: Research challenges and needs for the deployment of wind energy in hilly and mountainous regions. Wind Energy Science 7(6), 2022.

Mikkel L. Sørensen, Peter Nystrup, Mathias B. Bjerregård, Jan K. Møller, Peder Bacher, Henrik Madsen,WIREs Energy Environment – 2022 – S rensen – Recent developments in multivariate wind and solar power forecasting.

Möhrlen, C., Bessa, R. J., & Fleischhut, N. (2022). A decision-making experiment under wind power forecast uncertainty. Meteorological Applications, 29( 3), e2077.  +++OPENAccess Article +++

Jie Yan, Corinna Möhrlen, Tuhfe Göçmen, Mark Kelly, Arne Wessel, and Gregor Giebel, Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain. Renewable and Sustainable Energy Reviews, 165:112519,23, DOI: 10.1016/j.rser.2022.1125192022. +++ OpenAccess Article +++

Möhrlen, C.Ó Foghlú, D.Power, S.Nolan, G.Conway, K.Lambert, E.Ging, J.EirGrid’s met mast and alternatives studyIET Renew. Power Gener. 001– 14 (2022).  +++ OpenAccess Article +++

Joseph C. Y. Lee, Caroline Draxl, Larry K. Berg, Evaluating wind speed and power forecasts for wind-energy applications using an open-source and systematic validation framework, Renewable Energy, 200, 457-475,,


Corinna MöhrlenGregor GiebelRicardo J. Bessa and Nadine Fleischhut, How do Humans decide under Wind Power Forecast Uncertainty — an IEA Wind Task 36 Probabilistic Forecast Games and Experiments initiative, Published under licence by IOP Publishing Ltd, Journal of Physics: Conference SeriesVolume 2151WindEurope Electric City 2021 23/11/2021 – 25/11/2021 Copenhagen, Denmark
DOI: 10.1088/1742-6596/2151/1/012014OpenAccess Article


Jakob W. Messner  Pierre Pinson  Jethro Browell  Mathias B. Bjerregård  Irene Schicker (2020), Evaluation of wind power forecasts—An up‐to‐date view, Wind Energy Volume 23, Issue 6, June 2020 Pages 1461-1481

Sweeney, C, Bessa, RJ, Browell, J, Pinson, P. The future of forecasting for renewable energy. WIREs Energy Environ. 2020; 9:e365.  (Pre-print available here)


S.-E. Haupt, M. Garcia Casado, M. Davidson, J. Dobschinski, P. Du, M. Lange, T. Miller, C. Möhrlen, A. Motley, R. Pestana, J.Zack, IEEE Power and Energy Magazine (Nov.-Dec. 2019) , The use of Probabilistic Forecasts – applying them in theory and practice, IEEE Power and Energy Magazine, vol. 17, no. 6, pp. 46-57

I. Würth, L. Valldecabres, E. Simon, C. Möhrlen, B. Uzunoğlu, C. Gilbert, G. Giebel, D. Schlipf, A. Kaifel (2019), Minute-Scale Forecasting of Wind Power—Results from the Collaborative Workshop of IEA Wind Task 32 and 36., PDF-version,  Energies 2019, 12, 712 – Special Issue Solar and Wind Energy Forecasting. Open Access Online:  PDF Version:


Energies 2017, 10, 1402 
Bessa, R.J.; Möhrlen, C.; Fundel, V.; Siefert, M.; Browell, J.; Haglund El Gaidi, S.; Hodge, B.-M.; Cali, U.; Kariniotakis, G. Towards Improved Understanding of the Applicability of Uncertainty Forecasts in the Electric Power Industry. Energies 2017, 10, 1402, doi:10.3390/en10091402
Open Access Online: PDF Version:
IEEE Power and Energy Magazine ( Volume: 15, Issue: 6, Nov.-Dec. 2017 )
J. Dobschinski, R. Bessa, P. Du, K. Geisler, S.-E. Haupt, M. Lange, C. Möhrlen, D. Nakafuji, M. d.l.T. Rodriguez, Uncertainty Forecasting in a Nutshell: Prediction Models Designed to Prevent Significant Errors,” in IEEE Power and Energy Magazine, vol. 15, no. 6, pp. 40-49, Nov.-Dec. 2017. doi: 10.1109/ MPE.2017.2729100 URL 

Springer Book: Power Electronics and Power Systems (Open access)
Integration of Large-Scale Renewable Energy into Bulk Power Systems – From Planning to Operation, Editors: Du, Pengwei, Baldick, Ross, Tuohy, Aidan (Eds.)  Chapter 3: The Role of Ensemble Forecasting in Integrating Renewables into Power Systems: From Theory to Real-Time Applications, 79-134.  Corinna Möhrlen and Jess U. Jørgensen


Energy Proceedia 99, (2016)
Zhuang Cai, Christian Bussar, Philipp Stöcker, Luiz Moraes, Dirk Magnor, Dirk Uwe Sauer, Optimal Dispatch Scheduling of a Wind-battery-System in German Power Market, Energy Procedia, Volume 99, Pp 137-146, ISSN 1876-6102, Open access:

Journal of Physics: Conference Series 753 (2016)
G Giebel, J Cline, H Frank, W Shaw, P Pinson, B-M Hodge, G Kariniotakis, J Madsen, and C Möhrlen, Wind power forecasting: IEA Wind Task 36 & future research issues. Journal of Physics: Conference Series 753 (2016) 032042, doi:10.1088/1742-6596/753/3/032042.