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Crude Oil Price Forecasting Methods by 1289922836 is a document available to read on EtoBox.

This study presents a novel approach for forecasting crude oil prices by integrating trajectory similarity and machine learning models within a decomposition-ensemble framework. Utilizing variational mode decomposition (VMD) and sample entropy (SE), the method effectively separates crude oil price data into high and low-frequency components, allowing for tailored predictions using trajectory similarity (TS) and long short-term memory (LSTM) models. Experimental results demonstrate that this VMD-SE-TS/LSTM a

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1289922836

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EN