{"title":"Smart Energy III","authors":"","doi":"10.1109/sst49455.2020.9264046","DOIUrl":null,"url":null,"abstract":"This paper proposed the use of the decomposable time series model for the short-term forecast of the KE of a power system. A study case based on the KE of the Nordic Power System (NPS) has been used to assess the proposed approach. The cross-validation process revelled the mean absolute percentage error indicate forecast the error in the forecasting is below 5% for predictions one hour into the future.","PeriodicalId":284895,"journal":{"name":"2020 International Conference on Smart Systems and Technologies (SST)","volume":"254 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Smart Systems and Technologies (SST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/sst49455.2020.9264046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
This paper proposed the use of the decomposable time series model for the short-term forecast of the KE of a power system. A study case based on the KE of the Nordic Power System (NPS) has been used to assess the proposed approach. The cross-validation process revelled the mean absolute percentage error indicate forecast the error in the forecasting is below 5% for predictions one hour into the future.
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