Evaluation of advanced wind power forecasting models - Results of the anemos project

European Wind Energy Conference and Exhibition 2006, EWEC 2006

Volumn 3, Issue , 2006, Pages 2473-2481

  Marti I ^a   Kariniotakis, G ^b   Pinson, P ^b   Sanchez, I ^d   Nielsen, T S ^c   Madsen, H ^c   Giebel, G ^a   Usaola, J ^d   Palomares, A M ^a   Brownsword, R ^a   Tambke, J ^e   Focken, U ^a   Lange, M ^a   Sideratos, G ^a   Descombes, G ^a  

^a CENER ^*  (France)

^b PSL RESEARCH UNIVERSITY   (France)

^c IMM DTU   (France)

^d UNIVERSIDAD CARLOS III DE MADRID   (Spain)

^e UNIVERSITY OF OLDENBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BETTER PERFORMANCE; COMBINATION APPROACHES; ERROR CHARACTERIZATIONS; MODEL COMBINATION; POWER SYSTEM OPERATORS; PREDICTION SYSTEMS; WIND POWER FORECASTING; WIND POWER PREDICTIONS;

EXHIBITIONS; FORECASTING;

WIND POWER;

EID: 84876543170     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. http://anemos.cma.fr
2. Kariniotakis, G., Marti, I., et al What performance can be expected by short-term wind power prediction models depending on site characteristics?. Proceedings of the 2004 European Union Wind Energy Conference and Exhibition, London, UK, November 22-25, 2004.
3. Bowen, A.J., Mortensen, N.G., Exploring the limits of WAsP: the Wind Atlas Analysis and Application Program. Proceedings of the 1996 European Union Wind Energy Conference and Exhibition, Göteborg, Sweden, May 20-24, 1996, pp. 584-587
4. Giebel, G., G. Kariniotakis, R. Brownsword: The State-of-the-Art in Short-Term Prediction of Wind Power - A Literature Overview. Position paper for the ANEMOS project, download from http://anemos.cma.fr
5. Giebel, G., Boone, B., A Comparison of the DMI-Hirlam and DWD-Lokalmodell for Short-Term Forecasting. Proceedings of the EWEC, London (UK), 22-25 November 2004.
6. Madsen, H., Kariniotakis, G., Nielsen, H.Aa., Nielsen, T.S., Pinson, P., "A Protocol for Standardising the Performance Evaluation of Short-Term Wind Power Prediction Models", CD-rom Procd. of the Global WindPower 2004 Conference, Chicago, USA, Mar. 28-31, 2004.
7. Papadopoulos, A., Katsafados, P., Kallos, G., Regional weather forecasting for marine application. Global Atmos. Ocean Syst., 8, No 2-3, 2001, 219-237.
8. A. H. Murphy and R. L. Winkler. A general framework for forecast verification. Monthly Weather Review, 115:1330-1338, 1987.
9. A. H. Murphy. What is a good forecast? An essay on the nature of goodness in weather forecasting. Weather Forecasting, 8(2):281-293, 1993.
10. H. Madsen, P. Pinson, T.S. Nielsen, H.Aa. Nielsen, G. Kariniotakis. Standardizing the performance evaluation of short-term wind power prediction models. Wind Engineering, 2006. In Press.
11. M. Lange. On the uncertainty of wind power predictions - Analysis of the forecast accuracy and statistical distribution of errors. Trans. of the ASME, J. Solar Energy Eng., 127(2):177-194, May 2005
12. P. Pinson. Estimation of the uncertainty in wind power foerecasting, PhD thesis, Ecole des Mines de Paris, Center for Energy & Processes, 23 March 2006.