Air conditioner energy consumption prediction method for optimizing BP neural network based on sparrow search algorithm

• Main Authors: WANG XIYING, PAN YANG, XIAO MIN, PAN LIN, JIANG MINGKE
• Format: Patent
• Language: Chinese; English
• Published: 31.10.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses an air conditioner energy consumption prediction method for optimizing a BP neural network based on a sparrow search algorithm, and the method comprises the following steps: constructing a BP neural network model, and solving a mean square error function of the model; taking a mean square error function of the model as a sparrow population fitness function, performing iterative optimization on the sparrow population fitness function by using a sparrow search algorithm, searching an optimal position of each individual in the sparrow population as an optimization weight and an optimization threshold of a BP neural network model, and substituting the optimization weight and the optimization threshold into the BP neural network model to obtain a sparrow population fitness model; a BP neural network model with input and output in a linear mapping relation is obtained; and inputting the prediction set data into the BP neural network of the linear mapping relation, outputting a network predic