A multifractal description of wind speed records
By Rajesh G. Kavasseri, Radhakrishnan Nagarajan. 2004
134 citations recorded by the source corpus.
In this paper, a systematic analysis of hourly wind speed data obtained from four potential wind generation sites in North Dakota is conducted. The power spectra of the data exhibited a power law decay characteristic of 1/fα processes with possible long range correlations. The temporal scaling properties of the records were studied using the sophisticated multifractal detrended fluctuation analysis MFDFA. It is seen that the records at all four locations exhibit similar scaling behavior which is also reflected in the multifractal spectrum determined under the assumption of a binomial multiplicative cascade model.
Subfields: Computer Networks and Communications, Economics and Econometrics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/001485118b417a96ecebd643fef130c297e3794a
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In Computer Networks and Communications
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Citations in the corpus
- Multifractal analysis of the time series of daily means of wind speed in complex regions (2017, methodology): “Kavasseri and Nagarajan [17] showed that the multifractality found in four time series of hourly means of wind speed in USA could be explained by fitting the data with a binomial cascade multiplicative model.”