{"title":"Anticipation the consumed electrical power in Smart Home using evolutionary algorithms","authors":"A. Elmahalawy, Newal Elfishawy, M. N. El-dien","doi":"10.1109/MCIT.2010.5444847","DOIUrl":null,"url":null,"abstract":"One of the leading technologies is the Smart Home, where the home itself recognizes certain changes in home environment and provides adequate services to residents. Also, the Smart Home can anticipate the any dangerous state so it can adapt itself for this future case. Our goal is to anticipate states with too large power take-off; it means to eliminate power spikes. Program allows starting of simulation also without anticipation. The results are suitable for comparison with simulations with the block of anticipation. Anticipation based on evolutionary algorithms. So, we can see the quality of anticipation in the best way.","PeriodicalId":285648,"journal":{"name":"2010 International Conference on Multimedia Computing and Information Technology (MCIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Multimedia Computing and Information Technology (MCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCIT.2010.5444847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
One of the leading technologies is the Smart Home, where the home itself recognizes certain changes in home environment and provides adequate services to residents. Also, the Smart Home can anticipate the any dangerous state so it can adapt itself for this future case. Our goal is to anticipate states with too large power take-off; it means to eliminate power spikes. Program allows starting of simulation also without anticipation. The results are suitable for comparison with simulations with the block of anticipation. Anticipation based on evolutionary algorithms. So, we can see the quality of anticipation in the best way.