Selection of forecast model for consumption (four sectors) and transmission (two Piplines) of natural gas in Punjab (Pakistan) based on ARIMA model

  • Authors

    • Maliha Butt Department of StatisticsGC University, Lahore, Pakistan
    2015-05-30
    https://doi.org/10.14419/ijasp.v3i1.4635
  • ARIMA Model, Box Jenkins [3] Approach, Consumption of Natural Gas, Time Series Forecasting, Transmission of Natural Gas.

  • The main purpose of this study is to select an appropriate forecast model for Natural Gas Consumption and Transmission System. For ARIMA model, Box-Jenkins Approach (1976) has been adopted i.e. Stationarity of the series has been checked for each data set, correlogram has been estimated for identification of order of ARIMA model and a class of models has been estimated. Then, most adequate and appropriate model is selected by analyzing diagnostics checks. Later on, by comparing values of Akaike Information Criterion (AIC), Schwarz Information Criterion (SIC), and Standard Error (S.E.) of Regression, Root Mean Square Error (RMSC) and Theil Inequality Coefficient (TIC) for each model, forecast model has been finalized. In the end, forecasts have been made using models and compared these forecast values with the actual values for 2010 in order to check the accuracy of the model.

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