Artificial Intelligence Techniques for the Forecasting of Crude Oil Price: A Literature Review-Reference-Cited by-同舟云学术

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Artificial Intelligence Techniques for the Forecasting of Crude Oil Price: A Literature Review

Published:2023-01-26 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference On Cyber Management And Engineering (CyMaEn)
language:
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Author:

Mohamed Naji Ahmed¹,Messaadia Mourad¹

Affiliation:

1. University of Bahrain,Management & Marketing Department,Sakhir,Bahrain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10050883/10050886/10050945.pdf?arnumber=10050945

Reference22 articles.

1. Multi-perspective crude oil price forecasting with a new decomposition-ensemble framework;jingjun guo;Resources Policy,2022

2. A hybrid optimized artificial intelligent model to forecast crude oil using genetic algorithm;khodayar;African Journal of Business Management,2011

3. Analysis of Timeliness of Oil Price News Information Based on SVM;lu -tao zhao;Science Direct,2022

4. Improved EEMD-based crude oil price forecasting using LSTM networks;yu-xi wu;Physica A,2019

5. The dynamics of crude oil price differentials

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning systems for forecasting the prices of crude oil and precious metals;Financial Innovation;2024-07-16

2. A Novel Approach to Forecasting Crude Oil Price Based on LSTM and Online Learning;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

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