SVM-based power consumer credit risk early warning method and system

A power user and risk early warning technology, applied in forecasting, data processing applications, instruments, etc., to achieve high prediction accuracy and good early warning effect
CN110458313AInactive Publication Date: 2019-11-15SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI +2
1 Cites 12 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
Publication Date
2019-11-15
Estimated Expiration
Not applicable · inactive patent

Smart Images

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

Abstract

The invention relates to an SVM-based power consumer credit risk early warning method and system, and the method comprises the steps: setting a threshold value for a power consumer credit risk basic index, and dividing risk early warning intervals of different power consumer credit risk basic indexes according to the threshold value; selecting sample data, processing the sample data, distributingcorresponding weights to the power consumer credit risk basic indexes by using a principal component analysis method, calculating a risk early warning evaluation value of the sample data, and dividingrisk categories where the risk early warning evaluation value is located according to the risk early warning evaluation value; establishing a power consumer credit risk early warning SVM model, and predicting the power consumer credit risk; and taking the obtained optimal parameter value as a parameter value of a power consumer credit risk early warning SVM model, and optimizing the power consumer credit risk early warning SVM model. According to the method, parameter optimization is carried out through the SVM classification model, the prediction accuracy for the nonlinear relationship and the small sample model is high, and a good early warning effect is achieved in credit risk early warning.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of credit early warning, in particular to a method and system for early warning of credit risk of electric power users based on SVM. Background technique

[0002] With the continuous deepening of power system reform, power companies are facing more and more credit risks for power customers. Power customers have the phenomenon of arrears of electricity bills, electricity theft, and illegal use of electricity, which affects the normal business activities of power supply companies, disrupts the normal order of electricity market transactions, and has a huge negative impact on the development of power companies and equipment updates. In order to prevent potential risks faced by power companies, credit risk assessment and early warning must be carried out for power customers.

[0003] With the increasingly complex economic environment, the early warning methods of corporate credit risk are also constantly update...

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