2022
DOI: 10.1016/j.eswa.2022.118161
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Multiresolutional statistical machine learning for testing interdependence of power markets: A Variational Mode Decomposition-based approach

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Cited by 6 publications
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“…However, this method lacks a solid mathematical foundation ( 8 9 ). In contrast, the variational mode decomposition (VMD) method, employed by Saadaoui et al, provides an alternative but struggles to separate signal components that are indistinct in the Fourier spectrum ( 10 ). To surpass these limitations, Qian et al ( 11 13 ) have developed the adaptive Fourier decomposition (AFD), which offers a robust mathematical structure and improved adaptation to the signal wave curve, facilitating a more precise analysis of COVID-19 case fluctuations (Supplementary Material, available at https://weekly.chinacdc.cn/ ).…”
mentioning
confidence: 99%
“…However, this method lacks a solid mathematical foundation ( 8 9 ). In contrast, the variational mode decomposition (VMD) method, employed by Saadaoui et al, provides an alternative but struggles to separate signal components that are indistinct in the Fourier spectrum ( 10 ). To surpass these limitations, Qian et al ( 11 13 ) have developed the adaptive Fourier decomposition (AFD), which offers a robust mathematical structure and improved adaptation to the signal wave curve, facilitating a more precise analysis of COVID-19 case fluctuations (Supplementary Material, available at https://weekly.chinacdc.cn/ ).…”
mentioning
confidence: 99%