Practical Water Demand Forecastingby G. K. Young, GKY & Associates Inc, Springfield, VA, USA,
R. T. Kilgore, GKY & Associates Inc, Springfield, VA, USA,
K. G. Saunders, GKY & Associates Inc, Springfield, VA, USA,
Abstract: The authors describe their experience in designing, building, and applying a water demand forecasting model for the Denver metropolitan area. In the presence of incomplete and sometimes inconsistent data, a method is presented through which adversarial interests may participate in the building and ultimate acceptance of the model and its corresponding forecasts. The model itself is a two-tiered approach to forecasting in which use factors are applied to demographic variables (for example, households and population) for a first approximation of forecast demand. Then, through regression analysis of various socio-economic variables (for example, lot size and price), the preliminary estimates are fine-tuned.
Subject Headings: Forecasting | Water demand | Regression analysis | Hydrologic models | Building design | Social factors | Data processing | Urban areas | North America | Denver | Colorado | United States
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