Evidence of crossover phenomena in wind-speed data

被引:71
|
作者
Kavasseri, RG [1 ]
Nagarajan, R
机构
[1] N Dakota State Univ, Dept Elect & Comp Engn, Fargo, ND 58105 USA
[2] Univ Arkansas Med Sci, Little Rock, AR 72205 USA
基金
美国国家科学基金会;
关键词
crossover phenomena; detrended fluctuation analysis (DFA); Hurst exponents; long-range correlations; wind speed;
D O I
10.1109/TCSI.2004.836846
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, a systematic analysis of hourly wind-speed data obtained from three potential wind-generation sites (in North Dakota) is analyzed. The power spectra of the data exhibited a power-law decay characteristic of 1/f(alpha) processes with possible long-range correlations. Conventional analysis using Hurst exponent estimators proved to be inconclusive. Subsequent analysis using detrended fluctuation analysis revealed a crossover in the scaling exponent (a). At short time scales, a scaling exponent of alpha similar to 1.4 indicated that the data resembled Brownian noise, whereas for larger time scales the data exhibited long-range correlations (alphasimilar to0.7). The scaling exponents obtained were similar across the three locations. Our findings suggest the possibility of multiple scaling exponents characteristic of multifractal signals.
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收藏
页码:2255 / 2262
页数:8
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