Multiscale Fractal Analysis of Electricity Markets

Lijun Wang, Kaijian He, Yingchao Zou, Zhimeng Feng
{"title":"Multiscale Fractal Analysis of Electricity Markets","authors":"Lijun Wang, Kaijian He, Yingchao Zou, Zhimeng Feng","doi":"10.1109/CSO.2014.79","DOIUrl":null,"url":null,"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.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2014.79","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

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.
电力市场的多尺度分形分析
近年来,电力市场的分形特征引起了人们的广泛关注。分形行为的异质微观结构分析是理解和建模复杂电价行为的自然步骤。本文引入经验模态分解(EMD)来分析电力市场的异质性微观结构。利用多重分形去趋势波动分析方法(MFDFA)分析了EMD分解域的分形特征。在澳大利亚的四个电力市场进行了实证研究。结果表明,市场由异构的底层数据生成过程(DGP)组成,具有显著的分形特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信