{"title":"Poster Abstract: Personal Energy Footprint in Shared Building Environment","authors":"Xiaoqi Chen, Rishikanth Chandrasekaran, Fengyi Song, Xiaofan Jiang","doi":"10.1109/IPSN.2016.7460710","DOIUrl":null,"url":null,"abstract":"With smart buildings becoming popular, it is important to track the wastage of energy in public shared buildings to save energy. Current monitoring systems do not provide real-time visibility into the impact of occupants' actions on energy consumption of a building. We propose a system that tracks the energy consumed by users in shared spaces such as offices thereby making them aware and accountable for the energy they consume. Our system combines energy monitoring with localization techniques to generate real-time energy footprints for every occupant in a shared space and provides actionable feedback to them in the form of visualization.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPSN.2016.7460710","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
With smart buildings becoming popular, it is important to track the wastage of energy in public shared buildings to save energy. Current monitoring systems do not provide real-time visibility into the impact of occupants' actions on energy consumption of a building. We propose a system that tracks the energy consumed by users in shared spaces such as offices thereby making them aware and accountable for the energy they consume. Our system combines energy monitoring with localization techniques to generate real-time energy footprints for every occupant in a shared space and provides actionable feedback to them in the form of visualization.