English

A Multifractal Description of Wind Speed Records

Statistical Mechanics 2015-06-24 v1

Abstract

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/fα1/f^{\alpha} processes with possible long range correlations. The temporal scaling properties of the records were studied using multifractal detrended fluctuation analysis {\em 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.

Keywords

Cite

@article{arxiv.cond-mat/0411534,
  title  = {A Multifractal Description of Wind Speed Records},
  author = {Rajesh G. Kavasseri and Radhakrishnan Nagarajan},
  journal= {arXiv preprint arXiv:cond-mat/0411534},
  year   = {2015}
}