Evidence of crossover phenomena in wind speed data
| dc.creator | Kavasseri, Rajesh G. | |
| dc.creator | Nagarajan, Radhakrishnan | |
| dc.date | 2004-11-20 | |
| dc.date.accessioned | 2026-07-07T05:53:32Z | |
| dc.date.available | 2026-07-07T05:53:32Z | |
| dc.description | 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 $1/f^α$ 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 ($α$). At short time scales, a scaling exponent of $α\sim 1.4$ indicated that the data resembled Brownian noise, whereas for larger time scales the data exhibited long range correlations ($α\sim 0.7$). The scaling exponents obtained were similar across the three locations. Our findings suggest the possibility of multiple scaling exponents characteristic of multifractal signals. | |
| dc.identifier | https://arxiv.org/abs/physics/0411194 | |
| dc.identifier | http://arxiv.org/abs/physics/0411194 | |
| dc.identifier | IEEE Transactions on Circuits and Systems, vol.51 (11), 2004, 2255-2262 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/86675 | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.title | Evidence of crossover phenomena in wind speed data | |
| dc.type | text |