文档介绍：基于遗传算法和BP神经网络的大电力客户信用评
价模型
卢雯嘉|童杰「3李杨|栗秋华"2周林2
（1、重庆市江北供电局 重庆市401147, 2、输配电装备及系统安全与新技术国家重点实验室 重庆大学 电气工程学院重庆市400044, 3、重庆市电机工程学会 重庆市400014,）
摘要：电力客户用电行为分析是电力营销的重要工作，其中关键的一项就是对电力客户的信用进行分析 评估，这对于供电企业将电力输送给可靠的电力用户，提高企业经济效益具有重要意义。在分析影响电力 客户信用影响因素的基础上，构建了电力客户信用评价指标体系，将遗传算法神经网络原理引入电力客户 信用评价领域，提出了基于遗传算法和神经网络的电力客户信用评价模型，为电力客户的信用评估研究提 供模型和方法的支撑。实证结果表明：模型具有较强的自组织、自学****和自适应能力，模型评估结果比较 客观合理。
关键词：供电企业；大电力客户；信用评估；遗传算法；神经网络；
中图分类号： 文献标识码：A
Evaluation Model of Large Electricity Customers Credit Based on Genetic Algorithm and BP
Neural Network
Lu Wen-jia1, Li Yang1, Li Qiu-hua1,2 Zhou Lin1
(1、Chongqing Jiangbei Power Supply Bureau, Chongqing 401147
2、The State laboratory of power transmission equipment & system Security and new technology, Electrical
Engineering College of Chongqing University, Chongqing 400044)
ABSTRACT: It is important to analyze the action of the electricity customers, among the analysis to evaluate the customers credit is a very important work. If the power supply enterprise commands the credit of the electricity customers, then they can transport the electricity to the reliable electricity customers, this will conduce to boost he economic benefit of the power supply enterprise. Based on analyze the factor witch affect the credit of the electricity customers, we fabricate the credit evaluation index system to evaluate the credit of the electricity customers