Clustering-based typical daily load curve selecting method and device
A daily load and curve technology, applied in the field of typical daily load curve selection device based on clustering, which can solve problems such as inability to represent and dissimilar curve shapes
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[0037] The solutions of the present invention are described in detail below in conjunction with the examples.
[0038] Such as image 3 As shown, it is a schematic flow chart of an embodiment of the method for selecting a typical daily load curve based on clustering in the present invention, such as image 3 As shown, it includes the steps:
[0039] Step S101, read in the daily load curves within the preset time span, and proceed to step S102;
[0040] Step S102, determine the number k of typical daily load curves, and enter step S103;
[0041] Step S103: select k daily load curves as the collection center, and enter step S104;
[0042] Step S104, respectively calculate the distance between each daily load curve and each collection center, classify each daily load curve into the collection where the nearest collection center is located, and enter step S105;
[0043] Step S105, calculate the sample mean value of each set, use the sample mean value as the new set center of t...
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