Electric power user credit evaluation method based on global optimal fuzzy kernel clustering model

A technology of fuzzy kernel clustering and power users, applied in the field of information processing, can solve problems such as weak anti-risk ability, low efficiency, and error in evaluation results, and achieve the goals of improving scientificity and precision, reducing manpower input, and saving management costs Effect
CN109472453BActive Publication Date: 2021-09-21DAREWAY SOFTWARE
0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
DAREWAY SOFTWARE
Publication Date
2021-09-21

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a power user credit evaluation method based on a global optimal fuzzy kernel clustering model, comprising: establishing a power user credit evaluation index system, and performing preprocessing on evaluation index data; establishing a global optimal fuzzy kernel clustering algorithm model; Input the preprocessed power user credit evaluation data to be evaluated into the established global optimal fuzzy kernel clustering algorithm model to obtain the clustering results; perform qualitative analysis on the obtained clustering results to obtain the credit rating of each category; extract The characteristic index and corresponding characteristic value of each cluster in the clustering result; according to the extracted characteristic value index and corresponding characteristic value of each cluster, evaluate the credit result of the power user to be evaluated again. It replaces the manual evaluation of the power user's credit, reduces the input of manpower, saves the management cost of the power enterprise, and improves the scientificity and accuracy of the evaluation work.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The present disclosure relates to the technical field of information processing, in particular to a power user credit evaluation method based on a globally optimal fuzzy kernel clustering model. Background technique

[0002] With the rapid development of the country's economy and energy industry, power users' demand for electric energy is increasing. In the process of power marketing for power supply companies, the credit status of power users will have a direct impact on the operation of power companies. In the current huge power user group, there are quite a few users who are weak in anti-risk ability, prone to poor capital turnover, unable to pay bills on time, resulting in the occurrence of similar credit loss phenomena such as power theft and arrears. These phenomena have brought power enterprises Therefore, how to evaluate and grasp the credit situation of power users in a timely manner and effectively avoid operating risks is a practical problem...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More