Based on BP neural network theory, the energy consumption statistics platform and prediction system are established by using Delphi 6.0. The maximum value method is used to normalize the input sample data finally, the learning and training process of neural network is determined. Second, based on an analysis of the mechanism by which the BP neural network operates, this article optimizes it and describes the structure of the neural network, which includes the number of network layers, the number of neurons in each layer, and the number of latent neuron layers. In addition, to establish reliable consumer authority control to ensure the security and management of the database. First, to study the system of statistical index of building energy consumption and the system of statistical reporting of energy consumption of civil construction. In order to solve the energy consumption hypothesis of large buildings, the energy consumption hypothesis based on the BP neural network is proposed.
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January 2023
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