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In this paper, we proposed the newly developed forecasting method that can be easily applicable situations by considering the characteristics of significant independent variables and characteristics of given time series. One remarkable characteristics is that significant independent variables are detected by statistical validation and the detected significant variables are utilized as important input variables for a given model structure.Compared to conventional approach such as Box-Jenkins and neural network, proposed method is better interms of forecasting accuracy.