Research on the classification prediction yearly water demand in urban
Zhi Zhang · Journal of Water Resources and Water Engineering · 2006
Based on pre-processing the time-series data of annual water consumptions in one city,we has found out that this city's one-accumulate of the time-series data of living water quantity possessed the obvious linear trend,the time-series data of industry water quantity submitted one kind of variety polynomial.And this paper divided the total annual water consumption into three types: industry,living and the other water consumption and carryed on the classification forecast,using one-accumulate exponent smoothing forecast and 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 be used for this city's annual water consumption forecast.