Research on the Classification Prediction Mode of Urban Year Water Demand
Yali Liu · Water Sciences and Engineering Technology · 2006
Based on the pre-processing of annual water quantity time-series data in one city, it.s discover that this city.s one-accumulate living water quantity time-series data have the obvious line trend; The industry water quantity time-series data obey one kind of variety polynomial. And divided the total annual water consumption into three types: industry,living and the other water consumption and carry on the classification forecast,using one-accumulate exponent smoothing forecast;one-accumulate variety polynomial forecast model respectively,its compound related coefficient amount to 0.99.For the sake of comparing and analysising,Gray forecasting model is applied in this city annual water consumption forecast.The result indicated that the classification forecast have the higher accuracy and steady than total forecast, it can used for the city.s annual water consumption forecast.