Lei Jiang, Jiaming Li, S. Luo, Jesse S. Jin, S. West
{"title":"权力分解的文献综述","authors":"Lei Jiang, Jiaming Li, S. Luo, Jesse S. Jin, S. West","doi":"10.1109/ICMIC.2011.5973672","DOIUrl":null,"url":null,"abstract":"There are mainly two classes of approaches in power disaggregation, including Intrusive Load Monitoring (ILM) and Nonintrusive Load Monitoring (NILM). This paper presents the literature review on the NILM approaches. NILM is a process for detecting changes in the voltage and current going through a house, deducing what appliances are used in the house, as well as their individual energy consumption, with a single set of sensors. Different strategies and approaches for NILM systems have been developed over the past thirty years. This paper reviews the current state of the algorithms and systems of NILM. The paper points out that NILM can be utilised presently on available commercial devices and provides meaningful feedback. Our vision on the future of NILM is also summarized.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"256 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Literature review of power disaggregation\",\"authors\":\"Lei Jiang, Jiaming Li, S. Luo, Jesse S. Jin, S. West\",\"doi\":\"10.1109/ICMIC.2011.5973672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are mainly two classes of approaches in power disaggregation, including Intrusive Load Monitoring (ILM) and Nonintrusive Load Monitoring (NILM). This paper presents the literature review on the NILM approaches. NILM is a process for detecting changes in the voltage and current going through a house, deducing what appliances are used in the house, as well as their individual energy consumption, with a single set of sensors. Different strategies and approaches for NILM systems have been developed over the past thirty years. This paper reviews the current state of the algorithms and systems of NILM. The paper points out that NILM can be utilised presently on available commercial devices and provides meaningful feedback. Our vision on the future of NILM is also summarized.\",\"PeriodicalId\":210380,\"journal\":{\"name\":\"Proceedings of 2011 International Conference on Modelling, Identification and Control\",\"volume\":\"256 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2011 International Conference on Modelling, Identification and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMIC.2011.5973672\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2011 International Conference on Modelling, Identification and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMIC.2011.5973672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
There are mainly two classes of approaches in power disaggregation, including Intrusive Load Monitoring (ILM) and Nonintrusive Load Monitoring (NILM). This paper presents the literature review on the NILM approaches. NILM is a process for detecting changes in the voltage and current going through a house, deducing what appliances are used in the house, as well as their individual energy consumption, with a single set of sensors. Different strategies and approaches for NILM systems have been developed over the past thirty years. This paper reviews the current state of the algorithms and systems of NILM. The paper points out that NILM can be utilised presently on available commercial devices and provides meaningful feedback. Our vision on the future of NILM is also summarized.