Method for predicting monthly-scale domestic water demand

The invention discloses a method for predicting monthly-scale domestic water demand, and belongs to the field of water resource and water quantity allocation. The method specifically comprises the following steps: S1, constructing a life water demand characteristic evaluation index system; s2, constructing a prediction model set; s3, formulating an optimal prediction method for each living water demand evaluation partition; s4, screening monthly-scale living water demand key influence factors, and providing a basis for a multiple regression method and a feedforward neural network model; s5, predicting the monthly-scale living water demand. The step S1 comprises the following steps: S1-1, selecting a living water demand characteristic evaluation index; s1-2, formulating an evaluation index grading threshold value; s1-3, calculating a total evaluation value, and quantitatively evaluating the living water demand condition. The method has the advantages that 1) the method has a monthly-scale prediction capability