Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering

被引：373

作者：

Louka, P. ^{[1
,2
]}

Galanis, G. ^{[1
,3
]}

Siebert, N. ^{[4
]}

Kariniotaki, G. ^{[4
]}

Katsafados, P. ^{[1
]}

Pytharoulis, I. ^{[1
,2
]}

Kallos, G. ^{[1
]}

机构：

[1] Univ Athens, Sch Phys, Atmospher Modelling & Weather Forecasting Grp, Div Appl Phys, Athens 15784, Greece

[2] Hellen Natl Meteorol Serv, Athens 16777, Greece

[3] Naval Acad Greece, Xatzikyriakion 18539, Piraeus, Greece

[4] Ecole Natl Super Mines, Sophia Antipolis, Les Lucioles, France

来源：

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS | 2008年 / 96卷 / 12期

关键词：

Wind speed forecasting; Kalman filtering; Wind power forecasting;

D O I：

10.1016/j.jweia.2008.03.013

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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.

引用

页码：2348 / 2362

页数：15

共 24 条

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