Crude oil price decision under considering emergency and release of strategic petroleum reserves-Reference-Cited by-同舟云学术

Crude oil price decision under considering emergency and release of strategic petroleum reserves

Published:2016-05 Issue: Volume:102 Page:436-443
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Liao Shujie,Wang Fengxia,Wu Ting,Pan Wei

Funder

National Science Foundation of China

Fundamental Research Funds for the Central Universities

Wuhan University

Huibei province Science Foundation

Central University Basic Science Research Fund

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference25 articles.

1. Production modeling in the oil and natural gas industry: an application of trend analysis;Aydin;Pet Sci Technol,2015

2. Zhang X，Lai K K，Wang S Y. A new approach for crude oil price analysis based on empirical mode decomposition. Energy Econ. 30(3):905–918.

3. Estimating the effects of extreme events to crude oil price;Zhang;Syst Eng Theory Pract,2009

4. The future of the oil and gas industry: past approaches, new challenges;Longwell;World Energy,2002

5. Energy forecasting: predictions, reality and analysis of causes of error;Utgikar;Energy Policy,2006

Cited by 30 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. Energy imports in turbulent eras: Evidence from China;Energy;2024-10

2. Modelling and Forecasting Crude Oil Prices Using Trend Analysis in a Binary-Temporal Representation;Energies;2024-07-09

3. An oligopoly model for analysing oil extraction in the presence of renewable substitutes;International Journal of Environmental Studies;2023-12-20

4. Improved solid radiation model for thermal response in large crude oil tanks;Energy;2023-12

5. A heterogeneous ensemble architecture coupling model selection sorting and residual error iterative correction for crude oil price forecasting;Applied Soft Computing;2023-11