dorsal/arxiv
View SchemaEvidence of crossover phenomena in wind speed data
| Authors | Rajesh G. Kavasseri, Radhakrishnan Nagarajan |
|---|---|
| Categories | |
| ArXiv ID | physics/0411194 |
| URL | https://arxiv.org/abs/physics/0411194 |
| Journal | IEEE Transactions on Circuits and Systems, vol.51 (11), 2004, 2255-2262 |
Abstract
In this report, 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 (DFA) revealed a crossover in the scaling exponent ($\alpha$). At short time scales, a scaling exponent of $\alpha \sim 1.4$ indicated that the data resembled Brownian noise, whereas for larger time scales the data exhibited long range correlations ($\alpha \sim 0.7$). 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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"abstract": "In this report, a systematic analysis of hourly wind speed data obtained from\nthree potential wind generation sites (in North Dakota) is analyzed. The power\nspectra of the data exhibited a power-law decay characteristic of\n$1/f^{\\alpha}$ processes with possible long-range correlations. Conventional\nanalysis using Hurst exponent estimators proved to be inconclusive. Subsequent\nanalysis using detrended fluctuation analysis (DFA) revealed a crossover in the\nscaling exponent ($\\alpha$). At short time scales, a scaling exponent of\n$\\alpha \\sim 1.4$ indicated that the data resembled Brownian noise, whereas for\nlarger time scales the data exhibited long range correlations ($\\alpha \\sim\n0.7$). The scaling exponents obtained were similar across the three locations.\nOur findings suggest the possibility of multiple scaling exponents\ncharacteristic of multifractal signals.",
"arxiv_id": "physics/0411194",
"authors": [
"Rajesh G. Kavasseri",
"Radhakrishnan Nagarajan"
],
"categories": [
"physics.data-an"
],
"journal_ref": "IEEE Transactions on Circuits and Systems, vol.51 (11), 2004,\n 2255-2262",
"title": "Evidence of crossover phenomena in wind speed data",
"url": "https://arxiv.org/abs/physics/0411194"
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