Literature DB >> 23556966

Cross-correlation detection and analysis for California's electricity market based on analogous multifractal analysis.

Fang Wang1, Gui-ping Liao, Jian-hui Li, Rui-biao Zou, Wen Shi.   

Abstract

A novel method, which we called the analogous multifractal cross-correlation analysis, is proposed in this paper to study the multifractal behavior in the power-law cross-correlation between price and load in California electricity market. In addition, a statistic ρAMF-XA, which we call the analogous multifractal cross-correlation coefficient, is defined to test whether the cross-correlation between two given signals is genuine or not. Our analysis finds that both the price and load time series in California electricity market express multifractal nature. While, as indicated by the ρAMF-XA statistical test, there is a huge difference in the cross-correlation behavior between the years 1999 and 2000 in California electricity markets.

Mesh:

Year:  2013        PMID: 23556966     DOI: 10.1063/1.4793355

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  1 in total

1.  Detecting PM2.5's Correlations between Neighboring Cities Using a Time-Lagged Cross-Correlation Coefficient.

Authors:  Fang Wang; Lin Wang; Yuming Chen
Journal:  Sci Rep       Date:  2017-08-31       Impact factor: 4.379

  1 in total

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