V. Krishna, Deokwoo Jung, Ngo Quang Minh Khiem, H. Nguyen, David K. Y. Yau
{"title":"EnergyTrack:传感器驱动的能源使用分析系统","authors":"V. Krishna, Deokwoo Jung, Ngo Quang Minh Khiem, H. Nguyen, David K. Y. Yau","doi":"10.1145/2528282.2534158","DOIUrl":null,"url":null,"abstract":"We design and demonstrate a sensor-driven energy use analysis system, EnergyTrack, that continuously analyzes, evaluates, and interprets building energy use in real-time. The system incorporates an energy usage model that simultaneously considers the energy consumption of end-loads, occupancy changes, and occupant utility. The EnergyTrack testbed is implemented in a commercial building office space. We demonstrate our occupancy estimation algorithm as well as energy analysis results that are based on these occupancy estimates. These results include energy wastage tracking, consumption anomaly detection, and visualization of energy-break down by end-loads, building zones, and consumers.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"EnergyTrack: Sensor-Driven Energy Use Analysis System\",\"authors\":\"V. Krishna, Deokwoo Jung, Ngo Quang Minh Khiem, H. Nguyen, David K. Y. Yau\",\"doi\":\"10.1145/2528282.2534158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We design and demonstrate a sensor-driven energy use analysis system, EnergyTrack, that continuously analyzes, evaluates, and interprets building energy use in real-time. The system incorporates an energy usage model that simultaneously considers the energy consumption of end-loads, occupancy changes, and occupant utility. The EnergyTrack testbed is implemented in a commercial building office space. We demonstrate our occupancy estimation algorithm as well as energy analysis results that are based on these occupancy estimates. These results include energy wastage tracking, consumption anomaly detection, and visualization of energy-break down by end-loads, building zones, and consumers.\",\"PeriodicalId\":184274,\"journal\":{\"name\":\"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2528282.2534158\",\"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 ACM Workshop on Embedded Systems For Energy-Efficient Buildings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2528282.2534158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EnergyTrack: Sensor-Driven Energy Use Analysis System
We design and demonstrate a sensor-driven energy use analysis system, EnergyTrack, that continuously analyzes, evaluates, and interprets building energy use in real-time. The system incorporates an energy usage model that simultaneously considers the energy consumption of end-loads, occupancy changes, and occupant utility. The EnergyTrack testbed is implemented in a commercial building office space. We demonstrate our occupancy estimation algorithm as well as energy analysis results that are based on these occupancy estimates. These results include energy wastage tracking, consumption anomaly detection, and visualization of energy-break down by end-loads, building zones, and consumers.