MULTIFRACTAL DETRENDED FLUCTUATION ANALYSIS OF ELECTRIC LOAD SERIES-Reference-Cited by-同舟云学术

MULTIFRACTAL DETRENDED FLUCTUATION ANALYSIS OF ELECTRIC LOAD SERIES

Published:2015-05-28 Issue:02 Volume:23 Page:1550010
ISSN:0218-348X
Container-title:Fractals
language:en
Short-container-title:Fractals

Author:

YUAN XIAOHUI¹,JI BIN¹,YUAN YANBIN²,HUANG YUEHUA³,LI XIANSHAN³,LI WENWU³

Affiliation:

1. School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, P. R. China

2. School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, P. R. China

3. College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, P. R. China

Abstract

Multifractal detrended fluctuation analysis (MF-DFA) method is applied to analyze the daily electric load time series. The results of the MF-DFA show that there are three crossover timescales at seven days, 15 days and 365 days approximately in the fluctuation function. Also we find that these fluctuations have multifractal nature with long range correlation behavior. The multifractal singularity spectrum of the daily electric load series has been fitted by the quadratic function model. Comparing the MF-DFA results of the original load series with those of shuffled and surrogate series, it concludes that the multifractal characteristics of the daily electric load time series is due to both broadness of the probability density function and long-range correlation, and the long-range correlation is dominant.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Geometry and Topology,Modelling and Simulation

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218348X15500103

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