Ardiansyah Musa Efendi, I. G. D. Nugraha, K. Ramli, Deokjai Choi
{"title":"数据驱动的住宅建筑能源使用概况设计:海报摘要","authors":"Ardiansyah Musa Efendi, I. G. D. Nugraha, K. Ramli, Deokjai Choi","doi":"10.1145/3276774.3281021","DOIUrl":null,"url":null,"abstract":"In this paper, we designed a method for data-driven energy-use profiling using smart-meter data in residential buildings. The process includes a model-based energy disaggregation, appliance rate-of-use statistics, and inter-appliances association mining. Our goal is to provide the energy-use profile which includes what appliances, when did they use, and the relationship between them. These results can be used for further help in the design of building energy management systems for adaptive and transactive energy control.","PeriodicalId":294697,"journal":{"name":"Proceedings of the 5th Conference on Systems for Built Environments","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A design of data-driven energy-use profiling in residential buildings: poster abstract\",\"authors\":\"Ardiansyah Musa Efendi, I. G. D. Nugraha, K. Ramli, Deokjai Choi\",\"doi\":\"10.1145/3276774.3281021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we designed a method for data-driven energy-use profiling using smart-meter data in residential buildings. The process includes a model-based energy disaggregation, appliance rate-of-use statistics, and inter-appliances association mining. Our goal is to provide the energy-use profile which includes what appliances, when did they use, and the relationship between them. These results can be used for further help in the design of building energy management systems for adaptive and transactive energy control.\",\"PeriodicalId\":294697,\"journal\":{\"name\":\"Proceedings of the 5th Conference on Systems for Built Environments\",\"volume\":\"96 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th Conference on Systems for Built Environments\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3276774.3281021\",\"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 the 5th Conference on Systems for Built Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3276774.3281021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A design of data-driven energy-use profiling in residential buildings: poster abstract
In this paper, we designed a method for data-driven energy-use profiling using smart-meter data in residential buildings. The process includes a model-based energy disaggregation, appliance rate-of-use statistics, and inter-appliances association mining. Our goal is to provide the energy-use profile which includes what appliances, when did they use, and the relationship between them. These results can be used for further help in the design of building energy management systems for adaptive and transactive energy control.
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