References

NEW: Giebel, G., R. Brownsword, G. Kariniotakis, M. Denhard, and C. Draxl: The State-Of-The-Art in Short-Term Prediction of Wind Power A Literature Overview, 2nd Edition. Project report for the Anemos.plus and SafeWind projects. 109 pp. Ris�, Roskilde, Denmark, 2011

Troen, I, and L. Landberg: Short-Term Prediction of Local Wind Conditions. Proceedings of the European Community Wind Energy Conference, Madrid (ES), September 10-14, 1990, pp. 76-78, ISBN 0-9510271-8-2

Landberg, L.: Short-term Prediction of Local Wind Conditions. PhD-Thesis, Ris�-R-702(EN), Ris� National Laboratory, Roskilde, Denmark 1994, ISBN 87-550-1916-1

Landberg, L., and S.J. Watson: Short-term Prediction of Local Wind Conditions. Boundary-Layer Meteorology 70, p. 171 (1994)

Landberg, L., M.A. Hansen, K. Vesterager, and W. Bergstr�m: Implementing wind forecasting at a utility. Ris�-R-929(EN) (1997) 123 p.

Landberg, L.: A Mathematical Look at a Physical Power Prediction Model. Wind Energy 1, pp. 23-28 (1998). DOI: 10.1002/(SICI)1099-1824(199809)1:1<23::AID-WE9>3.0.CO;2-9

Joensen, A., G. Giebel, L. Landberg, H. Madsen, and H. Aa. Nielsen: Model Output Statistics Applied to Wind Power Prediction. Proceedings of the European Wind Energy Conference, Nice, France, 1-5 March 1999, pp. 1177-1180, ISBN 1 902916 00 X

Landberg, L.: Short-term prediction of local wind conditions. Wind Engineering into the 21^st Century, Proceedings of the Tenth International Conference on Wind Engineering, Copenhagen/Denmark, 21-24 June 1999, Larsen, Larose & Livesey (eds), Balkema, Rotterdam, ISBN 90 5809 059 0, pp. 1997-2003

Giebel, G., L. Landberg, K. M�nnich, H.-P. Waldl: Relative Performance of different Numerical Weather Prediction Models for Short Term Prediction of Wind Energy. Proceedings of the European Wind Energy Conference, Nice, France, 1-5 March 1999, pp. 1078-1081, ISBN 1 902916 00 X

Landberg, L.: Short-term prediction of the power production from wind farms. J. Wind Eng. Ind. Aerodyn., 80, 207-220, 1999.

Waldl, H.-P., and G. Giebel: Einfluss des d�nischen und des deutschen Wettervorhersagemodells auf die Qualit�t einer 48-Stunden-Windleistungsprognose. 5. Deutsche Windenergiekonferenz DEWEK 2000, Wilhelmshaven (DE), 7-8 Jun 2000, pp. 145-148

Waldl, H.-P., and G. Giebel: The Quality of a 48-Hours Wind Power Forecast Using the German and Danish Weather Prediction Model. Wind Power for the 21st Century, EUWEC Special Topic Conference, Kassel (DE), 25-27 Sept 2000

Landberg, L.: Prediktor - An On-Line Prediction System. Wind Power for the 21st Century, EUWEC Special Topic Conference, Kassel (DE), 25-27 Sept 2000. See the prize-winning poster!

Landberg, L., H.-P. Waldl, G. Giebel, U. Focken, M. Lange, K. M�nnich, H.-G. Beyer, A. Luig: Short-term Prediction of Regional Power Production. Final report of the EU project JOR3-CT97-0272 PL971254, Ris� 2000.

Giebel, G.: On the Benefits of Distributed Generation of Wind Energy in Europe. PhD thesis from the Carl von Ossietzky Universit�t Oldenburg. Fortschr.-Ber. VDI Reihe 6 Nr. 444. D�sseldorf, VDI Verlag 2001. ISBN 3-18-344406-2

Watson, R., L. Landberg, R. Costello, D. McCoy, P. O�Donnell: Evaluation of the Prediktor Wind Power Forecasting System in Ireland. Proceedings of the European Wind Energy Conference, Copenhagen, Denmark, 2-6 June 2001, pp. 703-706, ISBN 3-936338-09-4

Landberg, L.: Short-term Prediction of Local Wind Conditions. J. Wind Eng. Ind. Aerodyn. 89, pp. 235-245 (2001)

Landberg, L., G. Giebel, L. Myllerup, J. Badger, T.S. Nielsen, H. Madsen: Poor man�s ensemble forecasting for error estimation. AWEA, Portland/Oregon (US), 2-5 June 2002

Landberg, L., G. Giebel, H.Aa. Nielsen, T.S. Nielsen, H. Madsen: Short-term Prediction - An Overview. Wind Energy 6(3), pp. 273-280, June 2003.  DOI 10.1002/we.96

Giebel, G., R. Brownsword, and G. Kariniotakis: The state-of-the-art in short-term prediction of wind power. A literature overview. Version 1.1. 36 p. (2003) Note: this is obsolete, look at the top for version 2.

McCarthy, E.; Landberg, L.; Badger, J.; Zack, J.; Bailey, B.; Schwartz, M.; White, B.; Koebbe, R.; Sims, R., California wind energy forecasting system development and testing. Phase 2: 12-month testing. Final report, July 2003. (2003)

Landberg, L., Forecasting wind farm power output in California: 2 cases using Prediktor. In: Conference proceedings (CD-ROM). American Wind Energy Association: Windpower 2003, Austin, TX (US), 18-21 May 2003. (AWEA, Washington, DC, 2003)

G. Giebel, A. Boone: A Comparison of DMI-Hirlam and DWD-Lokalmodell for Short-Term Forecasting. and Poster, European Wind Energy Conference, London 2004

G. Kariniotakis, I. Mart�, D. Casas, P. Pinson, T. S. Nielsen, H. Madsen, G. Giebel, J. Usaola, I. S�nch�z, A.M. Palomares, R. Brownsword, U. Focken, M. Lange, J. Tambke, P. Louka, G. Kallos, C. Lac, G. Descombes, G. Sideratos: What performance can be expected by short-term wind power prediction models depending on site characteristics?, European Wind Energy Conference, London 2004

A. Boone, G. Giebel, K. Sattler, H. Feddersen: Analysis of HIRLAM including Turbulent Kinetic Energy. Project report, 2005

A. Boone: Simulation of Short-term Wind Speed Forecast Errors using a Multi-variate ARMA(1,1) Time-series Model. Master thesis at the Royal Institute of Technology in Stockholm, X-ETS/EES-0513, 2005

Gregor Giebel (ed.), Jake Badger, Lars Landberg, Henrik Aalborg Nielsen, Torben Skov Nielsen, Henrik Madsen, Kai Sattler, Henrik Feddersen, Henrik Vedel, John T�fting, Lars Kruse, Lars Voulund: Wind Power Prediction using Ensembles. Ris�-R-1527, September 2005

Additional references regarding other topics of forecasting, such as Ensemble forecasting, can be found on the Zephyr publication page, or in a search through the Ris� publications of Gregor Giebel, Lars Landberg and Jake Badger. For a general introduction, see this report.

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Gregor Giebel, Ris� National Laboratory
2011-02-09