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

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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Bibliographic Details
Main Authors: Alireza Jahandoost, Farhad Abedinzadeh Torghabeh, Seyyed Abed Hosseini, Mahboobeh Houshmand
Format: Article
Language:English
Published: SpringerOpen 2024-08-01
Series:Journal of Big Data
Subjects:
Crude oil
Dense-sparse-dense
LSTM
Price Prediction
Financial Time Series
K-means
Online Access:https://doi.org/10.1186/s40537-024-00977-8

Internet

https://doi.org/10.1186/s40537-024-00977-8

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