文章基本信息

标题：Transport energy Demand Forecasting Using Markov Chain Grey Model: Case Study of Iran
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作者：Aliyeh Kazemi ; Mohammad Modarres ; Mohammad Reza Mehregan 等
期刊名称：Industrial Management
印刷版ISSN：2008-5885
电子版ISSN：2423-5369
出版年度：2011
卷号：3
期号：7
页码：117-132
出版社：University of Tehran Electronic Journals Database
摘要：The aim of this paper is to present the prediction model of the transport energy demand in Iran. Markov chain grey model (MCGM) is proposed to forecast the transport energy demand of Iran. Then it is compared with grey model (GM) and regression model. Moreover, the MCGM forecasting model is used to forecast the annual gasoline demand of Iran up to the year 1400. The aim of this paper is to present the prediction model of the transport energy demand in Iran. Markov chain grey model (MCGM) is proposed to forecast the transport energy demand of Iran. Then it is compared with grey model (GM) and regression model. Moreover, the MCGM forecasting model is used to forecast the annual gasoline demand of Iran up to the year 1400. ..
关键词：Forecasting;Grey Model;Markov Chain Grey Model;regression model;Transport Energy Demand.