M. Suresh, M. Anbarasi, R. Jayasre, C. Shivani, P. Sowmiya
{"title":"使用粒子群优化的智能仪表数据分析","authors":"M. Suresh, M. Anbarasi, R. Jayasre, C. Shivani, P. Sowmiya","doi":"10.1109/ICSCAN.2019.8878833","DOIUrl":null,"url":null,"abstract":"Smart meter data are raw data. The pervasive recognition of smart meters generates an enormous quantity of electricity utilization data to be collected. The huge amount of data generated by smart meters are collected periodically and it will be analyzed for predicting the electricity demand which will be for convenience companies and inhabitants. Now our proposed work is to Forecasting the usage and price of smart meter data analytics using particle swarm optimization and k-means algorithm. The k-means algorithm is using for given best solution for prediction.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Smart Meter Data Analytics Using Particle Swarm Optimization\",\"authors\":\"M. Suresh, M. Anbarasi, R. Jayasre, C. Shivani, P. Sowmiya\",\"doi\":\"10.1109/ICSCAN.2019.8878833\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Smart meter data are raw data. The pervasive recognition of smart meters generates an enormous quantity of electricity utilization data to be collected. The huge amount of data generated by smart meters are collected periodically and it will be analyzed for predicting the electricity demand which will be for convenience companies and inhabitants. Now our proposed work is to Forecasting the usage and price of smart meter data analytics using particle swarm optimization and k-means algorithm. The k-means algorithm is using for given best solution for prediction.\",\"PeriodicalId\":363880,\"journal\":{\"name\":\"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCAN.2019.8878833\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCAN.2019.8878833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smart Meter Data Analytics Using Particle Swarm Optimization
Smart meter data are raw data. The pervasive recognition of smart meters generates an enormous quantity of electricity utilization data to be collected. The huge amount of data generated by smart meters are collected periodically and it will be analyzed for predicting the electricity demand which will be for convenience companies and inhabitants. Now our proposed work is to Forecasting the usage and price of smart meter data analytics using particle swarm optimization and k-means algorithm. The k-means algorithm is using for given best solution for prediction.
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