Title: Study on forecasting of water demands based on grey theory in big city
Abstract: The importance and some methods of water demands forecasting in cities are analyzed to find that the grey theory-based forecasting is better than conventional random analysis which is based on probability and statistics.The GM(1,1) model is established and applied to a practical project for hourly water demands forecasting.By checking up the precision,the model is proved to be feasible and effective.
Publication Year: 2006
Publication Date: 2006-01-01
Language: en
Type: article
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