Therefore, the six input factors wi

Therefore, the six input factors with large correlation coefficients (x_h) are used to select historical data that is close to the input factor of the predicted data, thereby reducing the data capacity of the historical data; that is, the |Δ| and μ corresponding to the x_h input factor For comparison, choose historical data with |∆|≤μ. Where μ is the data selection coefficient of the input factor of x_h, which is mapped with |Δ|, and the size of μ needs to be continuously adjusted and optimized; if it is too large, all historical data are easy to pass, and the input factor that is close to the predicted data input cannot be selected. Historical data; μ too small to discard all historical data, resulting in no historical data to find.