Short-term water demand forecasts can inform policymaking and contribute to budgetary and operational planning efforts. Accurate predictions allow water utilities to respond in a timely fashion to changing economic and climatic conditions by adjusting rates, reallocating resources, and taking steps to ensure an adequate supply of water. This work examines the development of an econometric water demand forecasting model for El Paso, Texas, a growing city located in the desert Southwest region of the United States. The forecasts produced by this model are then compared to forecasts from alternative models in order to gauge relative accuracy.
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