现代电子技术2013，Vol.36Issue(4)：136-140,5.
电力客户信用动态智能分析系统的设计及实现
Design and implementation of dynamic intelligent analysis system for electricity users' credit evaluation
孔伟伟 1张利益 1郑斌 1马景涛1
作者信息
- 1. 安徽南瑞继远软件有限公司,安徽合肥230088
- 折叠
摘要
Abstract
In order to evaluate the credit level of power customers and enhance the ability of controlling risk,,a credit quan-titative model depending on the analytic hierarchy process (AHP) is proposed in this paper. Based on this model, the Logistic regression model is used to calculate the probability of performance and the probability of default. The loss of default is calculated through the probability of default and the power consumption. The risk early warning model based on the probability of default, the loss of default and the decreasing degree of the credit scores was built. In consequence, the risk dynamic intelligent analysis system for power customer credit score was created. A perfect social benefit and economic benefit are gained with this system.关键词
动态智能分析模型/电力系统/客户信用/违约概率/风险预警Key words
dynamic intelligent analysis model/power system/customer credit/probability of default/risk early warning分类
信息技术与安全科学引用本文复制引用
孔伟伟,张利益,郑斌,马景涛..电力客户信用动态智能分析系统的设计及实现[J].现代电子技术,2013,36(4):136-140,5.
