Crude oil price forecasting using K-means clustering and LSTM model enhanced by dense-sparse-dense strategy

Abstract Crude oil is an essential energy source that affects international trade, transportation, and manufacturing, highlighting its importance to the economy. Its future price prediction affects consumer prices and the energy markets, and it shapes the development of sustainable energy. It is ess...

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Hauptverfasser:	Alireza Jahandoost, Farhad Abedinzadeh Torghabeh, Seyyed Abed Hosseini, Mahboobeh Houshmand
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	SpringerOpen 2024-08-01
Schriftenreihe:	Journal of Big Data
Schlagworte:	Crude oil Dense-sparse-dense LSTM Price Prediction Financial Time Series K-means
Online-Zugang:	https://doi.org/10.1186/s40537-024-00977-8
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Crude oil price forecasting using K-means clustering and LSTM model enhanced by dense-sparse-dense strategy

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