AnEEMD-basedmulti-scalefuzzyentropyapproachforcomplexityanalysisincleanenergymarkets
作者:Tang, L(Tang, Ling);Lv, HL(Lv, Huiling);Yu, LA(Yu, Lean)
APPLIED SOFT COMPUTING
DOI:10.1016/j.asoc.2017.03.008
出版年:JUL 2017
摘要
To measure the efficiency ofcleanenergymarkets, amulti-scalecomplexityanalysisapproachis proposed. Due to the coexisting characteristics ofcleanenergymarkets, the "divide and conquer" strategy is introduced to provide a more comprehensivecomplexityanalysisframeworkforboth overall dynamics and hidden features (indifferent time scales), and to identify the leading factors contributing to thecomplexity.Inthe proposedapproach, ensemble empirical mode decomposition (EEMD), a competitivemulti-scaleanalysistool, is first implemented to capture meaningful features hiddeninthe original market system. Second,fuzzyentropy,aneffectivecomplexitymeasurement, is employed to analyze both the whole system and inner features.Inempiricalanalysis, the nuclearenergyand hydropowermarketsinChina and US are investigated, and some interesting results are obtained.Foroverall dynamics, the UScleanenergymarketsappear a significantly highercomplexitylevel than China'smarkets, implying market maturity and efficiency of UScleanenergyrelative to China.Forinner features, similar features (interms of similar time scales)indifferentmarketspresent similarcomplexitylevels.Fordifferent inner features, there are some distinct differencesincleanenergymarketsbetween US and China. China'smarketsare mainly driven by upward long-term trends with a low-levelcomplexity, while short-term fluctuations with high-levelcomplexityare the leading featuresforthe USmarkets. All these results demonstrate that the proposedEEMD-basedmulti-scalefuzzyentropyapproachcan provide a newanalysistool to understand thecomplexityofcleanenergymarkets. (C) 2017 Elsevier B.V. All rights reserved.
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
研究方向:Computer Science
Web of Science 类别:Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications
