Subway air conditioner load prediction method based on air enthalpy value

The invention provides a metro air conditioner load prediction method based on an air enthalpy value, and the method comprises the following steps: simulating the hourly load of a metro air conditioner in an air conditioning season through load simulation software, comparing the hourly load with a historical actual operation load to verify the accuracy of simulation data, and building a platform in the load simulation software, the platform can meet the functions that the load is output, and meanwhile factors which cause the load and are high in correlation such as hourly fresh air, outdoor temperature, humidity, people flow and equipment heat dissipation are output; dividing the simulated data into a training set, a verification set and a test set according to a ratio of 7: 2: 1; training the simulated data through a BP neural network algorithm to obtain a first model, and verifying and testing the trained model; and extracting the outdoor temperature, the outdoor humidity and the load predicted by the first