Improved model and application of elastic coefficient method for forecasting water demand for life

water demand forecasting;  Living with water;  factor extraction;  grey association;  Data preprocessing

The elastic coefficient method is a widely used water demand prediction method, and the key step of modeling is to extract reasonable water demand influencing factors. In order to effectively extract the main influencing factors of water demand, the grey correlation method was used to analyze the relationship between elastic coefficient model variables. A natural logarithmic pretreatment method is proposed, and the forecast of domestic water demand in Zhengzhou City is taken as an example to compare and analyze the methods. The results show that the method is reasonable and effective. The application of grey correlation analysis is further enriched. The water demand prediction results are also in line with the actual situation, which can provide a reference basis for Zhengzhou water resources planning.