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国际石油价格长期趋势预测系统的研制与应用
引用本文:何森雨,杨瑞广,梁晓捷,赵鲁涛,梁巧梅.国际石油价格长期趋势预测系统的研制与应用[J].北京理工大学学报(社会科学版),2013,15(3):13-20.
作者姓名:何森雨  杨瑞广  梁晓捷  赵鲁涛  梁巧梅
作者单位:北京理工大学管理与经济学院能源与环境政策研究中心,北京,100081;中国科学院科技政策与管理科学研究所,北京,100190
基金项目:国家自然科学基金资助项目(71001007);高等学校博士学科点专项科研基金资助项目(20091101110044)
摘    要:国际石油价格的剧烈波动将对经济乃至整个社会产生巨大的影响。如何准确预测国际油价趋势已成为一个非常重要的课题。基于小波多尺度分析长期趋势多步预测模型, 设计并开发了国际石油价格长期趋势预测系统(LOFS)。该系统的应用证明:LOFS系统在一定程度上可以预测未来国际油价的变化趋势, 但预测的关键是选取合适的参数(小波波形、峰谷选取严格度、波动检验量常数)。基于计算实验的思想, 提出了一套确定参数的方法, 并据此预测了2013年Brent原油价格的走势。

关 键 词:油价预测系统  动态服务器页面(Asp.Net)  模型—视图—控制器(MVC)  计算实验
收稿时间:4/2/2013 12:00:00 AM

Development and Application of Long-term and Multi-stage Oil Price Forecasting System
HE Senyu,YANG Ruiguang,LIANG Xiaojie,ZHAO Lutao and LIANG Qiaomei.Development and Application of Long-term and Multi-stage Oil Price Forecasting System[J].Journal of Beijing Institute of Technology(Social Sciences Edition),2013,15(3):13-20.
Authors:HE Senyu  YANG Ruiguang  LIANG Xiaojie  ZHAO Lutao and LIANG Qiaomei
Institution:1.Center for Energy and Environmental Policy Research, School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China2.Institute of Policy and Management, Chinese Academy of Science, Beijing 100190, China
Abstract:The intense volatility of the oil price may have great effects not only on the economy but also on the whole society. It has become a very important task to forecast the trend of oil price accurately. This paper designs and develops Long-term and Multi-stage Oil Price Forecasting System(LOFS)based on MAW model. The application of LOFS proves that LOFS can forecast the trend of oil price in the future in a certain degree, but the key of the forecast is the choice of appropriate parameters(e.g. wave type). This paper proposes a method to determine these parameters based on computational experiments and accordingly forecasts the trend of Brent crude oil price in 2013.
Keywords:oil price forecast system  active server pages (Asp  Net)  model-view-controller (MVC)  computational experiments
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