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
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