{"title":"Development of a Smart Meter with Non-intrusive Load Monitoring Function","authors":"Hanmiao Cheng, Zengkai Ouyang, Zecheng Ding, Kaijie Fang, Yixuan Huang, Wei Tang","doi":"10.1109/CEEPE55110.2022.9783385","DOIUrl":null,"url":null,"abstract":"Currently, demand of precise and refined energy consumption service for residents is growing constantly. Aiming at this situation, according to the principles of International Recommendation 46, an electricity meter for non-intrusive load monitoring based on multicore modularity is designed to improve the level of detailed electrical data analysis. With general function module, metering module and load analysis module embedded separately, intelligent identification for type, turn-on/off time and electricity consumption of household appliances is achieved in triple cores management mode by load data sampling, characteristic quantity extraction, load matching and record upload. At the same time, a remote update scheme relying on electricity information acquisition system is proposed to ensure that load identification algorithm and load signature database could be updated online.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783385","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Currently, demand of precise and refined energy consumption service for residents is growing constantly. Aiming at this situation, according to the principles of International Recommendation 46, an electricity meter for non-intrusive load monitoring based on multicore modularity is designed to improve the level of detailed electrical data analysis. With general function module, metering module and load analysis module embedded separately, intelligent identification for type, turn-on/off time and electricity consumption of household appliances is achieved in triple cores management mode by load data sampling, characteristic quantity extraction, load matching and record upload. At the same time, a remote update scheme relying on electricity information acquisition system is proposed to ensure that load identification algorithm and load signature database could be updated online.