Prediction of water consumption or demand is an important part of the planning process in terms of consumption management plans. Predictions range from simple estimates based on population growth to Predictions based on complex models that consider different variables in water consumption, and the change the predictions can be made for the whole network. the predictions for different groups of consumers (residential, commercial, public) are more accurate. In general, water demand forecasting methods are divided into different forms. Sometimes these methods are combined with new methods. Hence the clear division It is difficult to determine a clear border between them. To design different urban water systems such as wells, pumps, distribution networks, treatment plants, and reservoirs, forecasting water demand in different periods is needed. Demand forecasting is usually classified into three groups: short-term, medium-term, and long-term forecasting. Usually, forecasts of one to two years, short-term forecasts, between one to ten years, and mid-term and longer periods are classified as long-term forecasts. The water demand forecast investigated consumption (m3/year) in the isolation area. The results of research showed that Consumption is under the direct influence of NRW (%). In the regression analysis, the water demand forecast as a dependent variable and the NRW as an independent variable had a P-value of 0.955.

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Advanced Technologies and Forecasting Models for Water Demand

  • Ana Cristina Faria Ribeiro,
  • A. K. Haghi

摘要

Prediction of water consumption or demand is an important part of the planning process in terms of consumption management plans. Predictions range from simple estimates based on population growth to Predictions based on complex models that consider different variables in water consumption, and the change the predictions can be made for the whole network. the predictions for different groups of consumers (residential, commercial, public) are more accurate. In general, water demand forecasting methods are divided into different forms. Sometimes these methods are combined with new methods. Hence the clear division It is difficult to determine a clear border between them. To design different urban water systems such as wells, pumps, distribution networks, treatment plants, and reservoirs, forecasting water demand in different periods is needed. Demand forecasting is usually classified into three groups: short-term, medium-term, and long-term forecasting. Usually, forecasts of one to two years, short-term forecasts, between one to ten years, and mid-term and longer periods are classified as long-term forecasts. The water demand forecast investigated consumption (m3/year) in the isolation area. The results of research showed that Consumption is under the direct influence of NRW (%). In the regression analysis, the water demand forecast as a dependent variable and the NRW as an independent variable had a P-value of 0.955.