By Clive Jones
Up to date from the 1996 version, this booklet deals valuable equipment of statistical research of key standards, with an emphasis on software instead of thought. insurance contains forecasting techniques, resources of knowledge for forecasting, curve becoming, water use coefficient versions, causal/structural forecast versions, forecasting seasonal and top water calls for, inhabitants and fiscal forecasts, results of conservation, rate, and climate. comprises CD-ROM with examples that help the tools
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Additional resources for Forecasting Urban Water Demand
As the water system grows in size, customer water-use aggregates become more predictable. Developing a sectoral water-demand forecast, which focuses on movements of water use by major customer class, can result in gains in accuracy and explicability. In chapter 5, we present an in-depth discussion of the development of sectoral or per-customer forecasting models, coordinated with estimates of the impacts of a generic water conservation program focused on water-efficient fixtures for residences.
When we subtract these minimum levels from monthly water sales through the year, we arrive at estimates of water use for outdoor purposes (see example in chapter 6). In many water systems, outdoor water use is largely from residential customers. This can have implications for utility rates and revenues. Residential water use typically is more responsive to changes in water commodity charges, or rates, than other customer categories. Furthermore, outdoor residential water use is more responsive to rate changes than indoor water usage.
Residential End Uses of Water. : AwwaRF. , J. M. McGuckin, J. Reid, L. Thelen, and P. Manning. 1998. Residential Water Use, Rate, Revenue and Nonprice Conservation Program Database. : AwwaRF and AWWA. R. A. Perlman. 1998. Estimated Use of Water in the United States in 1995. USGS Circular 1200. : USGS. book Page 31 Tuesday, January 29, 2008 3:31 PM Forecasting Urban Water Demand CHAPTER 3 Choosing a Forecasting Approach The choice of a forecasting approach depends on the expected uses for the forecast results, as well as the size and other characteristics of the utility and its service area.