{"title":"电池供电嵌入式系统稳定的高阶能量估计方法","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":"{\"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}","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}
A stable high-level energy estimation methodology for battery-powered embedded systems
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%.