Short-term wind power forecasting using advanced statistical methods
| Autor: | Nielsen, T. S., Madsen, H., Nielsen, H. Aa, Pinson, Pierre, Kariniotakis, Georges, Siebert, Nils, Ignacio Marti, Lange, Matthias, Focken, Ulrich, Bremen, Lueder V., Louka, G., Kallos, George, Galanis, Georges |
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| Přispěvatelé: | Department of Informatics and Mathematical Modeling, Technical University of Denmark [Lyngby] ( DTU ), Centre Énergétique et Procédés ( CEP ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), CENER, Centro Nacional de Energias Renovables, Fachbereich Informatik - Oldenburg, University of Oldenburg, Carl Von Ossietzky Universität Oldenburg, Division of Applied Physics, Atmospheric Modelling and Weather Forecasting Group, National Technical University of Athens, Department of Informatics and Mathematical Modeling [Lyngby] (DTU), Technical University of Denmark [Lyngby] (DTU), Centre Énergétique et Procédés (CEP), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), National Technical University of Athens [Athens] (NTUA) |
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| Zdroj: | Scopus-Elsevier HAL Proceedings of The European Wind Energy Conference, EWEC 2006 The European Wind Energy Conference, EWEC 2006 The European Wind Energy Conference, EWEC 2006, Feb 2006, Athènes, Greece. 9 p., 2006 BASE-Bielefeld Academic Search Engine The European Wind Energy Conference, EWEC 2006, Feb 2006, Athènes, Greece. 9 p Georges Kariniotakis Ignacio Marti |
| Popis: | Disponible sur : http://anemos.cma.fr/download/publications/pub_2006_paper_EWEC06_WP3statistical.pdf; International audience; This paper describes some of the statistical methods considered in the ANEMOS project for short-termforecasting of wind power. The total procedure typically involves various steps, and all these steps are described in the paper. These steps include downscaling from reference MET forecasts to the actual wind farm, wind farm power curve models, dynamical models for prediction of wind power or wind speed, estimating the uncertainty of the wind power forecast, and finally, methods for upscaling are considered. The upscaling part considers how a total regional production can be estimated using a small number of reference wind farms. Keywords: Forecasting, power curve, wind farmpower curve, upscaling, uncertainty estimation, probabilistic forecasts, adaptation. |
| Databáze: | OpenAIRE |
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