{"title":"智能电表数据访问的优化调度:参数化研究","authors":"Mohammed S. Kemal, R. Olsen, H. Schwefel","doi":"10.1109/SmartGridComm.2018.8587478","DOIUrl":null,"url":null,"abstract":"Smart meter data is usually accessed periodically with low time granularity, which creates limitations for near real-time information. This paper first introduces information quality metrics that can be used to optimize real-time data access to smart meter data. Then, a systematic parametric study assesses the impact of smart meter access scheduling on information quality. Finally, the paper evaluates a previously proposed heuristic optimization of scheduling of smart meter data access. The result shows that the heuristic optimization algorithm in all investigated scenarios shows less than 15% degradation as compared to the achievable best schedule.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Optimized Scheduling of Smart Meter Data Access: A Parametric Study\",\"authors\":\"Mohammed S. Kemal, R. Olsen, H. Schwefel\",\"doi\":\"10.1109/SmartGridComm.2018.8587478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Smart meter data is usually accessed periodically with low time granularity, which creates limitations for near real-time information. This paper first introduces information quality metrics that can be used to optimize real-time data access to smart meter data. Then, a systematic parametric study assesses the impact of smart meter access scheduling on information quality. Finally, the paper evaluates a previously proposed heuristic optimization of scheduling of smart meter data access. The result shows that the heuristic optimization algorithm in all investigated scenarios shows less than 15% degradation as compared to the achievable best schedule.\",\"PeriodicalId\":213523,\"journal\":{\"name\":\"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SmartGridComm.2018.8587478\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartGridComm.2018.8587478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimized Scheduling of Smart Meter Data Access: A Parametric Study
Smart meter data is usually accessed periodically with low time granularity, which creates limitations for near real-time information. This paper first introduces information quality metrics that can be used to optimize real-time data access to smart meter data. Then, a systematic parametric study assesses the impact of smart meter access scheduling on information quality. Finally, the paper evaluates a previously proposed heuristic optimization of scheduling of smart meter data access. The result shows that the heuristic optimization algorithm in all investigated scenarios shows less than 15% degradation as compared to the achievable best schedule.