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石油模型研究综述 被引量:3

Review on Oil Models
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摘要 针对石油能源开发综合研究问题,从时间序列、灰色理论、神经网络以及组合预测等不同的角度,对石油产量、价格、需求等单一模型的成果进行研究,并对各类模型优缺点进行比较。为进一步开展与石油问题相关的复杂系统建模提供参考,针对国家能源政策和能源政策分析的需要,与目前国际上比较具有代表性的综合能源模型系统,从复杂系统分析与建模的角度,介绍了各系统的建模方法、功能、应用。综合以上各类研究成果和现实需求,为今后石油以及能源模型的开发提出设想和展望。 This paper gave a study on some oil models which have some functions such as oil production, oil price, and oil demand and so on. From four different viewpoints, time series, grey theory, neural networks, and combination of forecasts, the paper compared the advantages and disadvantages of each model in order to develop the modeling and simulation of the complex systems relating to oil problems in the further study. For the needs of the na- tional energy policy and energy policy analysis, some typical integrated energy models developed by international or- ganizations were shown and their approaches, functions, and applications were introduced based on modeling and simulation of complex system. Consolidated above researches and practical needs, some proposed ideas and prospects for modeling and simulation on oil and energy models in the future were given.
出处 《计算机仿真》 CSCD 北大核心 2013年第6期4-10,共7页 Computer Simulation
基金 Cyber攻击对国家关键基础设施级联失效影响建模仿真研究(61174035) Cyberspace网络化效应建模方法研究(61273189)
关键词 石油 能源 模型 复杂性 安全 Oil Energy Model Complex Security
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  • 1Gonzalo Cortzar, Eduardo S Schwartz. Implementing a stochastic model for oil futures prices[ J]. Energy Economics, 2003,25 (3) : 215 -238.
  • 2Xie Wen, Yu Lean, Xu Shanying, Wang Shouyang. A new meth- od for crude oil price forecasting based on support vector machines [ C ]. Lecture Notes in Computer Science, 2006, 3994:441 -451.
  • 3J David Cabedo, Ismael Moya. Estimating oil price ' Value at Risk' using the historical simulation approach [ J ]. Energy conomics, 2003,25 ( 3 ) :239 - 253.
  • 4Pierre Giot, S Laurent. Modeling Daily Value - at - Risk Using Realized Volatility and ARCH Type Models[ J]. Journal of Empir- ical Finance, 2004,11 ( 3 ) :379 - 398.
  • 5Iwan Awaludin, Nordin Saad, Herman Agustiawan. A prediction of oil demand in Malaysia using time series modeling approach [ C ]. Proceedings International Symposium on Information Tech- nology, 2008,3:1 -4.
  • 6Hassan Mohammadi, Lixian Su. International evidence on crude oil price dynamics : Applications of ARIMA - GARCH models [ J ]. Energy Economics, 2010,32 ( 5 ) : 1001 - 1008.
  • 7Paolo Agnolucci. Volatility in crude oil futures: A comparison of the predictive ability of GARCH and implied volatility models[ J]. Energy Economics, 2009,31 (2) :316 -321.
  • 8Sajal Ghosh. Future demand of petroleum products in India [ J ]. Energy Policy, 2006,34 ( 15 ) : 2032 - 2037.
  • 9丁静之,闵骐,林怡.ARIMA模型在石油价格预测中的应用[J].物流技术,2008,27(10):156-159. 被引量:11
  • 10侯璐.基于ARIMA模型的石油价格短期分析预测[D].暨南大学学位论文,2009.

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