IEA Wind TCP

2023

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. https://doi.org/10.1002/we.2819

Møller, J. K., Nystrup, P., & Madsen, H. (Accepted/In press). Likelihood-based inference in temporal hierarchies. International Journal of Forecasting.
https://doi.org/10.1016/j.ijforecast.2022.12.005

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.

2022

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.

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.2022.112519, 2022. +++ OpenAccess Article +++

Möhrlen, C., Ó Foghlú, D., Power, S., Nolan, G., Conway, K., Lambert, E., Ging, J.: EirGrid’s met mast and alternatives study. IET Renew. Power Gener. 00, 1– 14 (2022). https://doi.org/10.1049/rpg2.12502  +++ 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, https://doi.org/10.1016/j.renene.2022.09.111, 2022

2019

2021

Corinna Möhrlen, Gregor Giebel, Ricardo 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 Series, Volume 2151, WindEurope Electric City 2021 23/11/2021 – 25/11/2021 Copenhagen, Denmark
DOI: 10.1088/1742-6596/2151/1/012014 -- OpenAccess Article

2020

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

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

R. Bessa, C. Möhrlen, V. Fundel, M. Siefert, J. Browell, S. Haglund El Gaidi, B.-M. Hodge, Ü. Cali, and G. Kariniotakis (2017),  Towards Improved Understanding of the Applicability of Uncertainty Forecasts in the Electric Power Industry  Energies 2017, 10(9), 1402

J. Dobschinski, R. Bessak, P. Du, K. Geisler, S.E. Haupt, M. Lange, C. Möhrlen, D. Nakafuji and M. de la Torre Rodriguez (2017),  Uncertainty Forecasting in a Nutshell: Prediction Models Designed to Prevent Significant Errors IEEE Power and Energy Magazine, vol. 15, no. 6, pp. 40-49, Nov.-Dec