BP neural network intelligent industrial park energy consumption model establishment method based on principal component analysis
A technology of BP neural network and principal component analysis, applied in biological neural network models, neural learning methods, data processing applications, etc., can solve problems such as inability to accurately predict user energy consumption and low accuracy of energy consumption models
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[0061] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.
[0062] Such as figure 1 As shown, it is a flow chart of the present invention. First, the historical energy consumption data of industrial users in the park are entered, including: coal industry, iron and steel industry, petroleum, chemical industry, electric power production industry, textile industry, cement industry, pharmaceutical industry industry, rubber and plastic industry, and electronics industry; then, the historical power consumption data of each industrial user is used as a sub-sequence, and the total energy consumption data of the park is used as a parent sequence to preprocess the historical energy consumption data, including normalization processing, calculation The gray correla...
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Abstract
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