{"title":"智能电网管理的识别方法","authors":"Galina Kryvoboka","doi":"10.1109/ESS50319.2020.9160071","DOIUrl":null,"url":null,"abstract":"The article deals with the application of a multilevel information system in order to optimize electricity production by forecasting power consumption. For the purpose of efficient application of such system, a method is offered which provides unbiased parameter estimates in the real situation of noisy measurements of input and output signals of the primary converters.","PeriodicalId":169630,"journal":{"name":"2020 IEEE 7th International Conference on Energy Smart Systems (ESS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification methods for smart grid management\",\"authors\":\"Galina Kryvoboka\",\"doi\":\"10.1109/ESS50319.2020.9160071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article deals with the application of a multilevel information system in order to optimize electricity production by forecasting power consumption. For the purpose of efficient application of such system, a method is offered which provides unbiased parameter estimates in the real situation of noisy measurements of input and output signals of the primary converters.\",\"PeriodicalId\":169630,\"journal\":{\"name\":\"2020 IEEE 7th International Conference on Energy Smart Systems (ESS)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 7th International Conference on Energy Smart Systems (ESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESS50319.2020.9160071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 7th International Conference on Energy Smart Systems (ESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESS50319.2020.9160071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The article deals with the application of a multilevel information system in order to optimize electricity production by forecasting power consumption. For the purpose of efficient application of such system, a method is offered which provides unbiased parameter estimates in the real situation of noisy measurements of input and output signals of the primary converters.
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