Title of article :
Energy Demand Forecast of Iran’s Industrial Sector Using Markov Chain Grey Model
Author/Authors :
Kazemi, Aliyeh university of tehran - Faculty of Management - Department of Industrial Management, تهران, ايران , Modarres, Mohammad sharif university of technology - Department of Industrial Engineering, تهران, ايران , Mehregan, M.Reza university of tehran - Faculty of Management - Department of Industrial Management, تهران, ايران
Abstract :
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
Journal title :
The International Journal Of Humanities
Journal title :
The International Journal Of Humanities
