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• W3117321808 endingPage "106669" @default.
• W3117321808 startingPage "106669" @default.
• W3117321808 abstract "Crude oil price prediction helps to get a better understanding of the global economic situation. Recently, variational mode decomposition (VMD) is introduced into the field of crude oil price forecasting. However, there is a lack of general selection rule for VMD-parameter and the widely adopted one-time decomposition strategy seems not suitable for practical application. Thus, an improved signal-energy based (ISE) rule is proposed as an improvement of the existing signal-energy based (SE) rule for the VMD-parameter selection. The moving-window strategy is put forward as a supplement for the decomposition strategy. Finally, a prediction model (VMD-LSTM-MW model) is built by combining the VMD, the long short-term memory (LSTM) network, and the moving-window strategy. The effectiveness of the ISE rule, the validity of the moving-window strategy, and the superiority of the VMD-LSTM-MW model are demonstrated by conducting monthly and daily crude oil price prediction experiments." @default.
• W3117321808 created "2021-01-05" @default.
• W3117321808 creator A5022499329 @default.
• W3117321808 creator A5073846535 @default.
• W3117321808 date "2021-02-01" @default.
• W3117321808 modified "2023-10-07" @default.
• W3117321808 title "A new crude oil price forecasting model based on variational mode decomposition" @default.
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• W3117321808 doi "https://doi.org/10.1016/j.knosys.2020.106669" @default.
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