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

Published in:	IEEE Access
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
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/