摘要
非侵入式负荷识别技术是通过分析用户电表采集到的电流电压等数据信息,得到负荷设备的各种信息,如电器的数量、电器的种类以及每种电器耗电信息等,这对于智慧电网和智能家居的发展具有较大意义。本文首先介绍负荷识别算法的框架,接着分别介绍了数据采集和预处理、事件检测、特征提取以及负荷分解等的常用算法,最后对现有非侵入式负荷识别方法进行总结和展望。
The non-intrusive load monitoring technology get the characteristics of electrical appliances,such as the number,type and state of different electrical appliances and their energy consumption,through the collected data.This is of great significance to the development of smart grid and smart home.In this pa⁃per,we introduce the framework of the non-intrusive load monitoring technology firstly.We also list the methods used in different steps,including the data gathering and preprocessing,event detection,feature extrac⁃tion and energy disaggregation.The research methods are summarized finally.
作者
章为昆
邬永强
杜磊
韩伟健
陈炎
张石清
Zhang Weikun;Wu Yongqiang;Du Lei;Han Weijian;Chen Yan;Zhang Shiqing(Zhejiang Wellsun Intelligent Technology Co.Ltd.,Tiantai 317200,China;School of Electronics and Information Engineering,Taizhou University,Linhai 317000,China)
出处
《台州学院学报》
2021年第6期48-54,共7页
Journal of Taizhou University
关键词
非侵入
模式识别
特征提取
负荷分解
non-intrusive
pattern recognition
feature extraction
energy disaggregation
