Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique

Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique

This paper introduces a new hybrid time series forecasting technique to obtain an efficient and accurate daily crude oil prices forecast. The proposed hybrid technique combines the features of various regression, time series, and machine learning models to improve forecast accuracy. First, it involv...

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Bibliographic Details
Main Authors: Hasnain Iftikhar, Moiz Qureshi, Paulo Canas Rodrigues, Muhammad Usman Iftikhar, Javier Linkolk Lopez-Gonzales
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Crude oil price forecasting
regression models
time series models
machine learning models
hybrid time series forecasting technique
decision making
Online Access:https://ieeexplore.ieee.org/document/11017674/
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