Volume 20, Issue 1 (2013)                   EIJH 2013, 20(1): 1-12 | Back to browse issues page

‎ 20.1001.1.25382640.2013.20.1.6.3

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Kazemi A, Modarres M, Mehregan M. Energy Demand Forecast of Iran’s Industrial Sector Using Markov Chain Grey Model. EIJH 2013; 20 (1) :1-12
URL: http://eijh.modares.ac.ir/article-27-10532-en.html
Energy Demand Forecast of Iran’s Industrial Sector Using Markov Chain Grey Model
Aliyeh Kazemi , Mohammad Modarres , Mohammad.Reza Mehregan
Abstract:   (3385 Views)
The aim of this paper is to develop a prediction model of energy demand of Iran’s industrial sector. For that matter a Markov Chain Grey Model (MCGM) has been proposed to forecast such energy demand. To find the effectiveness of the proposed model, it is then compared with Grey Model (GM) and regression model. The comparison reveals that the MCGM model has higher precision than those of the GM and the regression. The MCGM is then used to forecast the annual energy demand of industrial sector in Iran up to the year 2020. The results provide scientific basis for the planned development of the energy supply of industrial sector in Iran.
Keywords: Energy Demand, Industrial Sector, Forecasting, GM, MCGM, Regression
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Received: 2012/04/9 | Accepted: 2012/10/5 | Published: 2014/02/4
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