Low-voltage transformer area user power consumption data clustering method based on mean shift clustering
A technology of electricity consumption data and low-voltage station areas, which is applied in data processing applications, instruments, calculations, etc., can solve the problems of waste of power big data resources, and the real information value of power big data is not fully utilized, and achieve the goal of improving the quality foundation Effect
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[0056] As a specific implementation of the method for clustering user electricity consumption data in low-voltage station area based on mean-shift clustering provided by the present invention, the step S1 includes the following content:
[0057] The density estimation function of user electricity consumption data is:
[0058]
[0059] In the formula, C k is a constant, k(x) is the kernel function, h is the kernel width, and x is the initial data center point.
[0060] As a specific implementation of the method for clustering user electricity consumption data in low-voltage station area based on mean-shift clustering provided by the present invention, the step S2 includes the following content:
[0061] The gradient function of the density estimation function of the user's electricity consumption data is:
[0062]
[0063] As a specific implementation of the method for clustering electricity consumption data of users in low-voltage station area based on mean-shift clust...
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