A. Lima, Alexandre P. Alves da Silva, Diego Nascimento
{"title":"住宅负荷的无创监测","authors":"A. Lima, Alexandre P. Alves da Silva, Diego Nascimento","doi":"10.1109/ISGTEurope.2012.6465785","DOIUrl":null,"url":null,"abstract":"This paper presents a new methodology for the noninvasive identification of residential loads. The main goal is to develop a prototype capable to determine in real-time consumers loads based upon their energy signatures. The mathematical modeling is based on identification using signal processing techniques. Both simulation and measurements were considered in the analysis.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Noninvasive monitoring of residential loads\",\"authors\":\"A. Lima, Alexandre P. Alves da Silva, Diego Nascimento\",\"doi\":\"10.1109/ISGTEurope.2012.6465785\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new methodology for the noninvasive identification of residential loads. The main goal is to develop a prototype capable to determine in real-time consumers loads based upon their energy signatures. The mathematical modeling is based on identification using signal processing techniques. Both simulation and measurements were considered in the analysis.\",\"PeriodicalId\":244881,\"journal\":{\"name\":\"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGTEurope.2012.6465785\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGTEurope.2012.6465785","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a new methodology for the noninvasive identification of residential loads. The main goal is to develop a prototype capable to determine in real-time consumers loads based upon their energy signatures. The mathematical modeling is based on identification using signal processing techniques. Both simulation and measurements were considered in the analysis.
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