Fractal Analysis of Electrical Power Time Series
| dc.creator | Sanchez, J. R. | |
| dc.creator | Arizmendi, C. M. | |
| dc.date | 1999-12-07 | |
| dc.date.accessioned | 2026-07-07T03:15:26Z | |
| dc.date.available | 2026-07-07T03:15:26Z | |
| dc.description | Fractal time series has been shown to be self-affine and are characterized by a roughness exponent H. The exponent H is a measure of the persistence of the fluctuations associated with the time series. We use a recently introduced method for measuring the roughness exponent, the mobile averages analysis, to compare electrical power demand of two different places, a touristic city and a whole country. | |
| dc.description | 10 pages, 3 figures | |
| dc.identifier | https://arxiv.org/abs/cond-mat/9912112 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/9912112 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/30027 | |
| dc.subject | Statistical Mechanics | |
| dc.title | Fractal Analysis of Electrical Power Time Series | |
| dc.type | text |