Energy Demand Forecast of Iran’s Industrial Sector Using Markov Chain Grey Model
Publish place: The International Journal of Humanities، Vol: 20، Issue: 1
Publish Year: 1391
Type: Journal paper
Language: English
View: 17
This Paper With 12 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
JR_EIJH-20-1_001
Index date: 12 March 2025
Energy Demand Forecast of Iran’s Industrial Sector Using Markov Chain Grey Model 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.
Energy Demand Forecast of Iran’s Industrial Sector Using Markov Chain Grey Model Keywords:
Energy Demand , Industrial Sector , Forecasting , GM , MCGM , Regression , واژگان کلیدی: تقاضای انرژی , بخش صنعت , پیشبینی , مدل خاکستری , مدل زنجیره مارکوف خاکستری , مدل رگرسیون
Energy Demand Forecast of Iran’s Industrial Sector Using Markov Chain Grey Model authors
