CAFO Working Papers, Centre for Labour Market Policy Research (CAFO), School of Business and Economics, Linnaeus University
Applying Wavelet Variance on Swedish Wind Speed Data
Abstract: In this paper we utilise the wavelet transform to analyse
the Swedish wind speed data from monitoring centers at different locations
throughout Sweden. The long memory structure has been tested by using least
squares method. The wavelet variance has been applied for studying the
variations at different scales. The wavelet variance shows to be a useful
tool in detecting the variations at different scales.
Keywords: Wavelet; Time-series; (follow links to similar papers)
JEL-Codes: C01; (follow links to similar papers)
17 pages, September 17, 2009
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