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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Autores principales:	Iftikhar, Hasnain, Qureshi, Moiz, Canas Rodrigues, Paulo, Usman Iftikhar, Muhammad, López Gonzales, Javier Linkolk
Formato:	Artículo
Lenguaje:	inglés
Publicado:	2025
Acceso en línea:	Enlace permanente (DOI o Handle) Enlace permanente (DOI o Handle)
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