Journal
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
Volume 96, Issue 12, Pages 2348-2362Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jweia.2008.03.013
Keywords
Wind speed forecasting; Kalman filtering; Wind power forecasting
Categories
Funding
- European Projects ANEMOS [ENK5-CT-2002-00665]
- POW'WOW (Prediction Of Waves, Wakes and Offshore Wind) [019898(SES6)]
Ask authors/readers for more resources
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. (C) 2008 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available