Multiresolutional statistical machine learning for testing interdependence of power markets: A Variational Mode Decomposition-based approach

被引：0
|
作者：
Saâdaoui, Foued [1 ,2 ,3 ]
Mefteh-Wali, Salma [4 ]
Ben Jabeur, Sami [5 ]
机构：
[1] Department of Statistics, Faculty of Sciences, King Abdulaziz University, P.O BOX 80203, Jeddah,21589, Saudi Arabia
[2] University of Monastir, Lab. LR18ES15: Algebra, Number Theory & Nonlinear Analysis, Faculty of Sciences, Monastir,5019, Tunisia
[3] University of Sousse, Institut des Hautes Etudes Commerciales (IHEC), Ring Road, Sahloul 3, B.P. 40, Sousse,4054, Tunisia
[4] ESSCA School of Management, 1 Rue Lakanal, B.P. 40348, Angers,49003, France
[5] Institute of Sustainable Business and Organizations, Sciences and Humanities Confluence Research Center – UCLY, ESDES, 10 Place des Archives, Lyon,69002, France
来源：
Expert Systems with Applications | 2022年 / 208卷
关键词：
COVID-19;
D O I：
118161
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摘要：
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