R. Devika, Gannamani Gehnavi Devi, Haseena, V. Subramaniyaswamy
{"title":"Decision Support System for Efficient Township Building Energy Management using a Fuzzy Logic Controller","authors":"R. Devika, Gannamani Gehnavi Devi, Haseena, V. Subramaniyaswamy","doi":"10.1109/ICCMC48092.2020.ICCMC-00071","DOIUrl":null,"url":null,"abstract":"Recently most of the modern industries or buildings are aiming at efficient usage of the power energy available without compromising on occupant comfort. The energy once distributed cannot be stored back. The best way for efficient usage is an intelligent way of the distribution of power. This can be achieved through Decision support systems. These expert systems help in decision making activities to make decisions on the amount of distribution of power based on the conditions prevailing. DSSs are very much essential and emerging technology in industrial automation. This paper describes how the decision on energy distribution activities can be taken using fuzzy logic controllers with the help of clustering algorithms and association rule mining.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-00071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Recently most of the modern industries or buildings are aiming at efficient usage of the power energy available without compromising on occupant comfort. The energy once distributed cannot be stored back. The best way for efficient usage is an intelligent way of the distribution of power. This can be achieved through Decision support systems. These expert systems help in decision making activities to make decisions on the amount of distribution of power based on the conditions prevailing. DSSs are very much essential and emerging technology in industrial automation. This paper describes how the decision on energy distribution activities can be taken using fuzzy logic controllers with the help of clustering algorithms and association rule mining.