{"title":"基于遗传算法的住宅能耗调度移动应用","authors":"F. J. Reballo, I. Casella","doi":"10.1109/ISCE.2016.7797386","DOIUrl":null,"url":null,"abstract":"This article aims to present a mobile application to remotely optimize the use of household appliances in a home based on the dynamic variation of electricity price throughout the day. The customer defines the limits of hourly consumption and the use time interval of each appliance throughout the day in the mobile application, and it communicates with Matlab software installed on a computer to perform the scheduling optimization through a genetic algorithm.","PeriodicalId":193736,"journal":{"name":"2016 IEEE International Symposium on Consumer Electronics (ISCE)","volume":"338 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Mobile application for residential energy consumption scheduling employing GA\",\"authors\":\"F. J. Reballo, I. Casella\",\"doi\":\"10.1109/ISCE.2016.7797386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article aims to present a mobile application to remotely optimize the use of household appliances in a home based on the dynamic variation of electricity price throughout the day. The customer defines the limits of hourly consumption and the use time interval of each appliance throughout the day in the mobile application, and it communicates with Matlab software installed on a computer to perform the scheduling optimization through a genetic algorithm.\",\"PeriodicalId\":193736,\"journal\":{\"name\":\"2016 IEEE International Symposium on Consumer Electronics (ISCE)\",\"volume\":\"338 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Symposium on Consumer Electronics (ISCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCE.2016.7797386\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Symposium on Consumer Electronics (ISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2016.7797386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile application for residential energy consumption scheduling employing GA
This article aims to present a mobile application to remotely optimize the use of household appliances in a home based on the dynamic variation of electricity price throughout the day. The customer defines the limits of hourly consumption and the use time interval of each appliance throughout the day in the mobile application, and it communicates with Matlab software installed on a computer to perform the scheduling optimization through a genetic algorithm.