Intelligent crude oil price probability forecasting: Deep learning models and industry applications-Reference-Cited by-同舟云学术

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Intelligent crude oil price probability forecasting: Deep learning models and industry applications

Published:2024-12 Issue: Volume:163 Page:104150
ISSN:0166-3615
Container-title:Computers in Industry
language:en
Short-container-title:Computers in Industry

Author:

Shen Liang,Bao Yukun^ORCID,Hasan Najmul^ORCID,Huang Yanmei^ORCID,Zhou Xiaohong,Deng Changrui

Publisher

Elsevier BV

Reference80 articles.

1. A novel hybrid model for forecasting crude oil price based on time series decomposition;Abdollahi;Appl. Energy,2020

2. Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets;Ali Salamai;Expert Syst. Appl.,2023

3. The financial impacts of jump processes in the crude oil price: evidence from G20 countries in the pre- and post-COVID-19;Alqahtani;Resour. Policy,2021

4. Does crude oil futures price really help to predict spot oil price? New evidence from density forecasting;Bai;Int. J. Financ. Econ.,2022

5. Forecasting the Real Price of Oil in a Changing World: A Forecast Combination Approach;Baumeister;J. Bus. Econ. Stat.,2015

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