Wind Farm Power Forecasting

被引:5
|
作者
Haouas, Nabiha [1 ,2 ]
Bertrand, Pierre R. [1 ]
机构
[1] Univ Clermont Ferrand 2, Math Lab, CNRS, UMR 6620, F-63177 Clermont Ferrand, France
[2] Computat Math Lab, Monastir, Tunisia
关键词
PREDICTION; ENERGY;
D O I
10.1155/2013/163565
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Forecasting annual wind power production is useful for the energy industry. Until recently, attention has only been paid to the mean annual wind power energy and statistical uncertainties on this forecasting. Recently, Bensoussan et al. (2012) have pointed that the annual wind power produced by one wind turbine is a Gaussian random variable under a reasonable set of assumptions. Moreover, they can derive both mean and quantiles of annual wind power produced by one wind turbine. The novelty of this work is the obtainment of similar results for estimating the annual wind farm power production. Eventually, we study the relationship between the power production for each turbine of the farm in order to avoid interaction between them.
引用
收藏
页数:5
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