{"title":"A stable high-level energy estimation methodology for battery-powered embedded systems","authors":"R. Ren, E. Juárez, F. Pescador, C. Sanz","doi":"10.1109/ISCE.2012.6241689","DOIUrl":null,"url":null,"abstract":"In this paper, a methodology which aims to solve the accuracy susceptibility problem in PMC-driven energy estimation models is developed. The application characteristics representativeness of PMCs and training benchmarks to generate an accurate and stable energy estimation model are considered. The results show a good accuracy and stability with average relative error of 4.8%.","PeriodicalId":6297,"journal":{"name":"2012 IEEE 16th International Symposium on Consumer Electronics","volume":"os-41 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 16th International Symposium on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2012.6241689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, a methodology which aims to solve the accuracy susceptibility problem in PMC-driven energy estimation models is developed. The application characteristics representativeness of PMCs and training benchmarks to generate an accurate and stable energy estimation model are considered. The results show a good accuracy and stability with average relative error of 4.8%.
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