Title :
A trust evaluation model of electricity customers based on cloud model
Author :
Zhang, Shaomin ; Yang, Sha ; Wang, Baoyi
Author_Institution :
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Baoding, China
Abstract :
In the competitive electricity market, large power customers who consume a large quantity of electricity through the behaviors of malicious arrears of electricity fee and evasion of electricity will seriously affect the normal operation of electricity supply enterprises. Therefore, a trust evaluation model based on the specific characteristics index system of evaluation object´ operating environment is constructed, which is based on cloud model, shows experts´ opinions with trust vectors. The paper describes the generating method of trust evaluation cloud, and proposes synthetic formula of trust evaluation cloud and decision-making algorithm, which are applied to the trust evaluation of large power customers, provides decision-making basis for the power supply companies choosing trustworthy power customers. Experimental results show that the model is feasible and effective.
Keywords :
Internet; data privacy; decision making; power engineering computing; power markets; cloud model; competitive electricity market; decision making algorithm; electricity customers; electricity supply enterprise; trust evaluation cloud; trust evaluation model; trust vectors; Clouds; Computational modeling; cloud model; credit; large power customers; trust evaluation; uncertainty;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620541