Point and interval forecasting system for crude oil price based on complete ensemble extreme-point symmetric mode decomposition with adaptive noise and intelligent optimization algorithm-Reference-Cited by-同舟云学术

Point and interval forecasting system for crude oil price based on complete ensemble extreme-point symmetric mode decomposition with adaptive noise and intelligent optimization algorithm

Published:2022-12 Issue: Volume:328 Page:120194
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Wang Xuerui,Li Xiangyu,Li Shaoting^ORCID

Funder

Dongbei University of Finance and Economics

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference54 articles.

1. How does investor attention matter for crude oil prices and returns? Evidence from time-frequency quantile causality analysis;Chen;North Am J Econ Finance,2022

2. A new hybrid model for forecasting Brent crude oil price;Abdollahi;Energy,2020

3. A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms;Wang;Appl Energy,2018

4. Analyzing of consumer price index influence on inflation by multiple linear regression;Cogoljević;Physica A,2018

5. Crude oil price analysis and forecasting based on variational mode decomposition and independent component analysis;E;Physica A,2017

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