Discriminant analysis of clients´ credit management In electricity market

Author

Zhou, H. ; Niu, W.J. ; Wang, Y.

Author_Institution

Sch. of Electr. Eng., Beijing Jiaotong Univ.

fYear

2005

fDate

2005

Firstpage

1

Lastpage

6

Abstract

Credit management is very important for utility in electricity market, and to predict which types of credit the clients would be is one of key work. Based on the data of MIS and objection of credit management, a special credit index system is designed. With the multi-variables statistics theory, a model of discriminant analysis is established and tested, which has high precision and lower error-judgment rate, so the model could be used to classified the clients according to its credit scoring and the result could be regards as reference for making different credit management policy in the process of sales and past due management

Keywords

financial management; power markets; statistical analysis; MIS; clients credit management policy; credit index system; credit scoring; discriminant analysis; electric utilities; electricity market; error-judgment rate; multivariables statistics theory; sales process; Communication industry; Companies; Electricity supply industry; Energy consumption; Energy management; Error analysis; Financial management; Marketing and sales; Power system management; Statistical analysis; Discriminant analysis; credit management; electricity market; error-judgment rate; multi-variables statistics theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES

Conference_Location

Dalian

Print_ISBN

0-7803-9114-4

Type

conf

DOI

10.1109/TDC.2005.1546953

Filename

1546953