Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering
This paper studies the application of Kalman filtering as a post-processing method in numerical predictions of wind speed. Two limited-area atmospheric models have been employed, with different options/capabilities of horizontal resolution, to provide wind speed forecasts. The application of Kalman...
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| Published in | Journal of wind engineering and industrial aerodynamics Vol. 96; no. 12; pp. 2348 - 2362 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier Ltd
01.12.2008
Elsevier Science Elsevier |
| Subjects | |
| Online Access | Get full text |
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| Abstract | This paper studies the application of Kalman filtering as a post-processing method in numerical predictions of wind speed. Two limited-area atmospheric models have been employed, with different options/capabilities of horizontal resolution, to provide wind speed forecasts. The application of Kalman filter to these data leads to the elimination of any possible systematic errors, even in the lower resolution cases, contributing further to the significant reduction of the required CPU time. The potential of this method in wind power applications is also exploited. In particular, in the case of wind power prediction, the results obtained showed a remarkable improvement in the model forecasting skill. |
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| AbstractList | This paper studies the application of Kalman filtering as a post-processing method in numerical predictions of wind speed. Two limited-area atmospheric models have been employed, with different options/capabilities of horizontal resolution, to provide wind speed forecasts. The application of Kalman filter to these data leads to the elimination of any possible systematic errors, even in the lower resolution cases, contributing further to the significant reduction of the required CPU time. The potential of this method in wind power applications is also exploited. In particular, in the case of wind power prediction, the results obtained showed a remarkable improvement in the model forecasting skill. |
| Author | Kallos, G. Galanis, G. Pytharoulis, I. Louka, P. Siebert, N. Katsafados, P. Kariniotakis, G. |
| Author_xml | – sequence: 1 givenname: P. surname: Louka fullname: Louka, P. organization: Division of Applied Physics, Atmospheric Modelling and Weather Forecasting Group, School of Physics, University of Athens, University Campus, Bldg. PHYS-V, 15784 Athens, Greece – sequence: 2 givenname: G. surname: Galanis fullname: Galanis, G. organization: Division of Applied Physics, Atmospheric Modelling and Weather Forecasting Group, School of Physics, University of Athens, University Campus, Bldg. PHYS-V, 15784 Athens, Greece – sequence: 3 givenname: N. surname: Siebert fullname: Siebert, N. organization: Ecole Nationale Superieure des Mines de Paris, Rue Claude Daunesse, Sophia Antipolis, Les Lucioles, France – sequence: 4 givenname: G. surname: Kariniotakis fullname: Kariniotakis, G. organization: Ecole Nationale Superieure des Mines de Paris, Rue Claude Daunesse, Sophia Antipolis, Les Lucioles, France – sequence: 5 givenname: P. surname: Katsafados fullname: Katsafados, P. organization: Division of Applied Physics, Atmospheric Modelling and Weather Forecasting Group, School of Physics, University of Athens, University Campus, Bldg. PHYS-V, 15784 Athens, Greece – sequence: 6 givenname: I. surname: Pytharoulis fullname: Pytharoulis, I. organization: Division of Applied Physics, Atmospheric Modelling and Weather Forecasting Group, School of Physics, University of Athens, University Campus, Bldg. PHYS-V, 15784 Athens, Greece – sequence: 7 givenname: G. surname: Kallos fullname: Kallos, G. email: kallos@mg.uoa.gr organization: Division of Applied Physics, Atmospheric Modelling and Weather Forecasting Group, School of Physics, University of Athens, University Campus, Bldg. PHYS-V, 15784 Athens, Greece |
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| SubjectTerms | Applied sciences Buildings. Public works Climatology and bioclimatics for buildings domain_spi.energ Energy Engineering Sciences Exact sciences and technology Kalman filtering Mathematical models Natural energy Numerical prediction Post-processing Systematic errors Wind energy Wind engineering Wind power Wind power forecasting Wind speed Wind speed forecasting |
| Title | Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering |
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