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Wind Energy

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94 H. Kantz et al.<br />

relative frequency<br />

[arbitrary units]<br />

160<br />

120<br />

80<br />

40<br />

0 2<br />

4<br />

6<br />

8<br />

0<br />

0 2 4 6 8 10 12 −6−4−2 fluctuation<br />

14 16 −8 around minute mean [m/s]<br />

minute mean [m/s]<br />

standard deviation of c-pdf [m/s]<br />

1.8<br />

1.6<br />

1.4<br />

1.2<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

0 2 4 6 8 10 12 14 16<br />

minute mean [m/s]<br />

Fig. 16.1. Conditional pdfs p(vt − ¯vt|¯vt), where ¯vt is the moving 1-minute mean,<br />

of data of three different days and the standard deviations of conditional pdfs as a<br />

function of ¯vt for all 10 days<br />

grow linearly with ¯vt Fig. 16.1, so that the noise amplitude of the supposed<br />

stochastic process is a function of the state (multiplicative noise). In summary,<br />

the very simplest model for wind speeds could read vt+1 = αvt + βvtξt, where<br />

0

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