• DocumentCode
    120190
  • Title

    Multiscale Fractal Analysis of Electricity Markets

  • Author

    Lijun Wang ; Kaijian He ; Yingchao Zou

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Univ. of Chem. Technol., Beijing, China
  • fYear
    2014
  • fDate
    4-6 July 2014
  • Firstpage
    378
  • Lastpage
    382
  • Abstract
    The fractal characteristic of the electricity market has attracted significant research attention in recent years. And the heterogeneous microstructure analysis of the fractal behaviors represent a natural step forward to the understanding and modeling of the complex electricity price behaviors. In this paper, we introduce the Empirical Mode Decomposition (EMD) to analyze the heterogeneous microstructure underlying the electricity market. The Multifractal Detrended Fluctuation Analysis method (MFDFA) is used to analyze the fractal characteristics in the EMD decomposed domain. Empirical studies have been conducted in four electricity markets in Australia. Results show that the market consists of heterogeneous underlying Data Generating Process (DGP) that exhibits significant fractal characteristics.
  • Keywords
    Hilbert transforms; fractals; power markets; EMD; MFDFA; complex electricity price behaviors; data generating process; electricity markets; empirical mode decomposition; fractal behaviors; heterogeneous microstructure analysis; multifractal detrended fluctuation analysis method; multiscale fractal analysis; Analytical models; Educational institutions; Electricity; Electricity supply industry; Empirical mode decomposition; Fractals; Time series analysis; EMD; Electricity market; MFDFA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-5371-4
  • Type

    conf

  • DOI
    10.1109/CSO.2014.79
  • Filename
    6923707