The invention discloses a power consumption predicting method for a double-sided variable flow ground-source heat pump system for a difference parallel HCMAC neural network. The method comprises the following steps of: predicting input of a model by determining the power consumption of the ground-source heat pump system; dividing a sample data space into a plurality of sub spaces according to the characteristics of sample data to determine a reference value of each sub space output to obtain difference of each sub space output, and learning the output difference value by means of a HCMAC neural network sub model; and inputting a to-be-predicted sample into the constructed difference parallel HCMAC neural network to obtain the a power consumption predicting result of the ground-source heat pump system. The predicting precision of the method disclosed by the invention is far higher than that of a conventional HCMAC neural network model, and the method can be used for predicting the operating power consumption of the double-sided variable flow ground-source heat pump system.