微型电脑应用2025，Vol.41Issue(2)：128-131,4.
基于深度卷积神经网络的客户侧用电安全性评估模型研究
Research on Customer-side Power Safety Evaluation Model Based on Deep Convolutional Neural Network
王白根 1鲍兴江 1邵竹星 1陆钦 1胡中鲲1
作者信息
- 1. 国网安徽省电力有限公司安庆供电公司,安徽,安庆 246000
- 折叠
摘要
Abstract
Considering the excellent performance of deep convolutional neural networks,a customer-side power safety evaluation model based on deep convolutional neural networks is proposed.Based on the actual situation of power consumption safety on the customer-side,this paper constructs the power consumption safety rating index system on the customer-side,uses the huge data processing and computing performance of deep convolutional neural network,a customer-side power safety evaluation mod-el based on deep convolutional neural network is constructed.The experimental results show that the performance index of the proposed model is good,and its F1 value reaches 0.962,the Recall value reached 0.962,and the AUC value reached 0,949,the accuracy rate reached 0.978.In the actual detection,the accuracy reaches 0.978,which was 0.027～0.066 higher than that of the deep neural network,support vector machine model and logistic regression model.The correct rate of real-time early warn-ing reached 0.957,and the false alarm rate of real-time early warning was only 0.037.Therefore,the proposed model is more efficient and practical in the power safety evaluation.关键词
深度学习/深度卷积神经网络/粗糙集/评级指标体系/安全评估/用电安全Key words
deep learning/deep convolutional neural network/rough set/rating index system/safety evaluation/power safety分类
信息技术与安全科学引用本文复制引用
王白根,鲍兴江,邵竹星,陆钦,胡中鲲..基于深度卷积神经网络的客户侧用电安全性评估模型研究[J].微型电脑应用,2025,41(2):128-131,4.
