Mehdi Maasoumy, Alberto L. Sangiovanni-Vincentelli
{"title":"基于模型预测控制的建筑暖通空调系统总能耗和峰值能耗最小化","authors":"Mehdi Maasoumy, Alberto L. Sangiovanni-Vincentelli","doi":"10.1109/MDT.2012.2200871","DOIUrl":null,"url":null,"abstract":"This article addresses the challenge of realizing the building automation and control system using a distributed network of embedded computers. A specification methodology and design space exploration framework are proposed to raise the level of abstraction at which building control systems are designed, to reduce design effort, and to lower implementation cost.","PeriodicalId":50392,"journal":{"name":"IEEE Design & Test of Computers","volume":"29 1","pages":"26-35"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/MDT.2012.2200871","citationCount":"16","resultStr":"{\"title\":\"Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control\",\"authors\":\"Mehdi Maasoumy, Alberto L. Sangiovanni-Vincentelli\",\"doi\":\"10.1109/MDT.2012.2200871\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article addresses the challenge of realizing the building automation and control system using a distributed network of embedded computers. A specification methodology and design space exploration framework are proposed to raise the level of abstraction at which building control systems are designed, to reduce design effort, and to lower implementation cost.\",\"PeriodicalId\":50392,\"journal\":{\"name\":\"IEEE Design & Test of Computers\",\"volume\":\"29 1\",\"pages\":\"26-35\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/MDT.2012.2200871\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Design & Test of Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MDT.2012.2200871\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Design & Test of Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MDT.2012.2200871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control
This article addresses the challenge of realizing the building automation and control system using a distributed network of embedded computers. A specification methodology and design space exploration framework are proposed to raise the level of abstraction at which building control systems are designed, to reduce design effort, and to lower implementation cost.