{"title":"学生研究摘要:智能建筑节能需求行为分析与协调调度","authors":"Siyun Chen","doi":"10.1145/2554850.2555193","DOIUrl":null,"url":null,"abstract":"A large proportion of energy is consumed in buildings, which could be saved with optimized operation and management without changing building structure and hardware configuration. A new framework is proposed to reduce whole energy consumption of smart buildings based on load behavior analysis and coordination scheduling, consisting of two parts: Load Behavior Analysis System (LBAS) and Distributed Scheduling Systems (DSS).","PeriodicalId":285655,"journal":{"name":"Proceedings of the 29th Annual ACM Symposium on Applied Computing","volume":"216 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Student research abstract: demand behavior analysis and coordination scheduling for energy saving in smart building\",\"authors\":\"Siyun Chen\",\"doi\":\"10.1145/2554850.2555193\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A large proportion of energy is consumed in buildings, which could be saved with optimized operation and management without changing building structure and hardware configuration. A new framework is proposed to reduce whole energy consumption of smart buildings based on load behavior analysis and coordination scheduling, consisting of two parts: Load Behavior Analysis System (LBAS) and Distributed Scheduling Systems (DSS).\",\"PeriodicalId\":285655,\"journal\":{\"name\":\"Proceedings of the 29th Annual ACM Symposium on Applied Computing\",\"volume\":\"216 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 29th Annual ACM Symposium on Applied Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2554850.2555193\",\"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 29th Annual ACM Symposium on Applied Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2554850.2555193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Student research abstract: demand behavior analysis and coordination scheduling for energy saving in smart building
A large proportion of energy is consumed in buildings, which could be saved with optimized operation and management without changing building structure and hardware configuration. A new framework is proposed to reduce whole energy consumption of smart buildings based on load behavior analysis and coordination scheduling, consisting of two parts: Load Behavior Analysis System (LBAS) and Distributed Scheduling Systems (DSS).