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Demand Forecasting: A Model for San Francisco
Author(s) -
Metzner Rudolph C.
Publication year - 1989
Publication title -
journal ‐ american water works association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 74
eISSN - 1551-8833
pISSN - 0003-150X
DOI - 10.1002/j.1551-8833.1989.tb03163.x
Subject(s) - demand forecasting , per capita , population , class (philosophy) , econometrics , economics , operations research , environmental science , computer science , engineering , operations management , demography , artificial intelligence , sociology
Water demand forecasts are commonly calculated by multiplying population by per‐capita demand. This forecasting technique assumes that population is the only factor influencing water demand. In this article, the author describes a mathematical model that has been applied to forecast water demands by customer class in San Francisco, Calif., to the year 2005. The model considers several variables in addition to population on which demand is dependent. The forecasts by customer class are compared to a forecast of overall water use in San Francisco.