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Multifractal detrended fluctuation analysis for clustering structures of electricity price periods

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成果类型:
期刊论文
作者:
Wang, Fang*;Liao, Gui-ping;Li, Jian-hui;Li, Xiao-chun;Zhou, Tie-jun
通讯作者:
Wang, Fang
作者机构:
[Zhou, Tie-jun; Wang, Fang] Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China.
[Liao, Gui-ping; Wang, Fang; Li, Jian-hui] Hunan Agr Univ, Agr Informat Inst, Changsha 410128, Hunan, Peoples R China.
[Li, Xiao-chun] Hunan Agr Univ, Orient Sci & Technol Coll, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Wang, Fang] H
Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Clustering;Fisher's linear discriminant algorithm;Multifractal detrended fluctuation analysis;Sub-periods electricity price
期刊:
Physica A-Statistical Mechanics and its Applications
ISSN:
0378-4371
年:
2013
卷:
392
期:
22
页码:
5723-5734
基金类别:
National Natural Science Funds of ChinaNational Natural Science Foundation of China (NSFC) [31071328]; Key Project Fund of Science and Technology Program of Hunan Province [2011GK2024]; Ministry of Education Doctoral Research Fund Project of China [20114320110001]
机构署名:
本校为第一且通讯机构
院系归属:
理学院
信息科学技术学院
东方科技学院
摘要:
A new model is proposed to investigate the structure of electricity price in different time periods. A popular method - the multifractal detrended fluctuation analysis (MF-DFA) method is employed to analyze the features achieved from three types of electricity price data after filtering some trends by Fourier detrended fluctuation function. Twelve multifractal parameters are calculated and selected as the characteristic indicators for comparison. Moreover, the minimum number of indicators is determined so that the discriminant accuracy reaches maximum based on Fisher's linear discriminant algo...

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