{"title":"Evaluation of a load composition estimation method using synthetic data","authors":"D.R. Sagi, S. Ranade, A. Ellis","doi":"10.1109/NAPS.2005.1560592","DOIUrl":null,"url":null,"abstract":"This paper explores a method for load composition estimation using fuzzy regression. The method is examined using synthetic data to test the accuracy and robustness. The results obtained show that aggregate load composition can be estimated with acceptable accuracy using assumed load component parameters.","PeriodicalId":101495,"journal":{"name":"Proceedings of the 37th Annual North American Power Symposium, 2005.","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 37th Annual North American Power Symposium, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS.2005.1560592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper explores a method for load composition estimation using fuzzy regression. The method is examined using synthetic data to test the accuracy and robustness. The results obtained show that aggregate load composition can be estimated with acceptable accuracy using assumed load component parameters.
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