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Title: Forecasting Daily Gas Sendout-A Comparison Of Two Methods
Author: R. D. Haenel
Source: American Gas Association 1974
Year Published: 1974
Abstract: During the past few years the Southem California Gas Company has devoted considerable effort to developing an analytical model to forecast daily natural gas sendout on a continuous basis. Many techniques for data reduction and modeling were tried-some successful, some not. It is the purpose of this paper to present the results of this study and to demonstrate those techniques which were found to be most helpful. The two analytical models compared and presently being used are based on the multiple stepwise regresaon procedure. However, each uses a different data weighting method to provide responsiveness to current changes in relationships between factors influencing gas sendout.

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