Time Series Models to Predict the Monthly and Annual Consumption of Natural Gas in Iran
محورهای موضوعی : policy making
Arash Farrokhi
1
(
Department of Industrial Engineering, University College of Ayandegan, Tonekabon, Iran
)
Reza Hassanzadeh
2
(
Department of Industrial Engineering, University College of Rouzbahan, Sari,, Iran, Iran
)
کلید واژه: Consumption, SARIMA, ARIMA, Forecast Gas,
چکیده مقاله :
Considering the fact that natural gas is a widely used energy source, the prediction of its consumption can be useful (Derek LAM, 2013). As Iran has one of the largest gas reserves in the world, its consumption in the country can affect the worldwide price of gas, Therefore, the current research is useful both from economic and environmental point of view. The goal of the study is to select the best model for the prediction of gas consumption. To achieve the goal time series analysis are used. The findings indicate that ARIMA (0, 1, 0) is the best model for the prediction of annual gas consumption, while SARIMA (1, 0, 0) (1, 1, 0) for the prediction of monthly gas consumption
