A. S. Minor, N. Polyakhov, I. Prikhodko, E. Vorobyova
{"title":"Forecasting of a temporary row on the basis of the caterpillar method — Ssa","authors":"A. S. Minor, N. Polyakhov, I. Prikhodko, E. Vorobyova","doi":"10.1109/SCM.2015.7190439","DOIUrl":null,"url":null,"abstract":"Based on the Visual representation of the results of the decomposition of the singular trajectory matrix time series that contains the data of power consumption for 28 days, the trend and the periodic component of the series. The accuracy of the prediction when you use the <;<;Caterpillar-SSA>> was 1.75 %.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2015.7190439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Based on the Visual representation of the results of the decomposition of the singular trajectory matrix time series that contains the data of power consumption for 28 days, the trend and the periodic component of the series. The accuracy of the prediction when you use the <;<;Caterpillar-SSA>> was 1.75 %.