| 注册
首页|期刊导航|计算机工程|基于金字塔网络的非侵入式负荷辨识及其隐私保护方案

基于金字塔网络的非侵入式负荷辨识及其隐私保护方案

王以良 周鹏 叶卫 戚伟强

计算机工程2024,Vol.50Issue(5):182-189,8.
计算机工程2024,Vol.50Issue(5):182-189,8.DOI:10.19678/j.issn.1000-3428.0067381

基于金字塔网络的非侵入式负荷辨识及其隐私保护方案

Non-Intrusive Load Monitoring and Its Privacy-Preserving Scheme Based on Pyramid Network

王以良 1周鹏 1叶卫 1戚伟强1

作者信息

  • 1. 国网浙江省电力有限公司信息通信分公司,浙江杭州 310016
  • 折叠

摘要

Abstract

Smart grids integrate information systems to provide more effective energy-supply solutions.Smart electricity meters are a key part of smart grids,and in-depth research on smart electricity meter data can provide effective support for smart grid management and decision-making.Non-Intrusive Load Monitoring(NILM)technology provides technical support on the demand-side management;however,existing methods require data interaction between users and NILM servers,resulting in the disclosure of private information during this process.To solve these problems,an NILM based on a pyramid network with a two-dimensional Convolutional Neural Network(2D-CNN)is designed,and privacy is protected by homomorphic encryption and secure multiparty computation technology.Privacy-preserving protocols are designed for operators of pyramid networks,such as convolution,full connection,batch normalization,average pooling,ReLU,and upsampling,and are combined to construct a privacy-preserving 2D-CNN pyramid network.The entire process does not restore the original information contained in the data or the intermediate results,thereby protecting the privacy of both parties.The experimental results on the UK-DALE dataset show that the pyramid network based on 2D-CNN can perform well,with an accuracy of 95.81%,and that the privacy-preserving 2D-CNN pyramid network can maintain the inference performance of the 2D-CNN pyramid network while protecting the privacy of the client data and server model parameters with consistent accuracy and recall.At the same time,the privacy-preserving 2D-CNN pyramid network requires a computation time of less than 5 s in a Wide Area Network(WAN)and less than 0.5 s in a Local Area Network(LAN),with a communication volume of only 4.79 MB,making it suitable for real-world scenarios with NILM tasks.

关键词

智能电网/非侵入式负荷辨识/金字塔网络/同态加密/安全多方计算

Key words

smart grid/Non-Intrusive Load Monitoring(NILM)/pyramid network/homomorphic encryption/secure multi-party computation

分类

信息技术与安全科学

引用本文复制引用

王以良,周鹏,叶卫,戚伟强..基于金字塔网络的非侵入式负荷辨识及其隐私保护方案[J].计算机工程,2024,50(5):182-189,8.

基金项目

国网浙江省电力有限公司科技项目(5211XT220002). (5211XT220002)

计算机工程

OA北大核心CSTPCD

1000-3428

访问量0
|
下载量0
段落导航相关论文