电测与仪表2018，Vol.55Issue(11)：35-40,6.
基于GA-BP神经网络的反窃电系统研究与应用
Research and application of electricity anti-stealing system based on GA-BP neural network
王庆宁 1张东辉 2孙香德 2沈杨 2许湘莲1
作者信息
- 1. 武汉理工大学,武汉430070
- 2. 国网电力科学研究院武汉南瑞有限责任公司,武汉430074
- 折叠
摘要
Abstract
In order to improve the situation about the increasingly serious power theft in the electric power industry,the suspicion coefficient of electricity stealing is analyzed,and an improved evaluation model based on GA-BP neural network is introduced in this paper.Several limitations exist in traditional BP neural network,it takes a long time to converge and is fragile to errors and easy to get stuck in local minima.For the weakness of BP neural network algorithm,GA algorithm is used to optimize algorithm performance to effectively avoid the problem of local optimality.In this paper,some typical companies are selected to verify the improved evaluation model,and the accuracy of suspicion coefficient of power theft reached 88％.The evaluation model studied in this paper provides a feasible idea for the power theft problem.关键词
窃电嫌疑因子/指标评价体系/BP神经网络/遗传算法Key words
suspicion coefficient of power theft/indictor evaluation system/BP neural network/genetic algorithm分类
信息技术与安全科学引用本文复制引用
王庆宁,张东辉,孙香德,沈杨,许湘莲..基于GA-BP神经网络的反窃电系统研究与应用[J].电测与仪表,2018,55(11):35-40,6.
