فهرست مقالات Arash Farrokhi


  • مقاله

    1 - Time Series Models to Predict the Monthly and Annual Consumption of Natural Gas in Iran
    پژوهشگر , شماره 2 , سال 2 , بهار 2017
    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, There چکیده کامل
    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 پرونده مقاله