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Load Forecasting using Hierarchical Clustering Method for Building

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dc.contributor.authorHwang, H.-M.-
dc.contributor.authorLee, S.-H.-
dc.contributor.authorPark, J.-B.-
dc.contributor.authorPark, Y.-G.-
dc.contributor.authorSon, S.-Y.-
dc.date.available2020-02-28T10:45:20Z-
dc.date.created2020-02-12-
dc.date.issued2015-01-
dc.identifier.issn1975-8359-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/10937-
dc.description.abstractIn recent years, energy supply cases to take advantage of EMS(Energy Management System) are increasing according to high interest of energy efficiency. The important factor for essential and economical EMS operation is the supply and demand plan the hourly power demand of building load using the hierarchical clustering method of variety statistical techniques, and use the real historical data of target load. Also the estimated results of study are obtained the reliability through separate tests of validity. Copyright © The Korean Institute of Electrical Engineers.-
dc.language한국어-
dc.language.isoko-
dc.publisherKorean Institute of Electrical Engineers-
dc.relation.isPartOfTransactions of the Korean Institute of Electrical Engineers-
dc.titleLoad Forecasting using Hierarchical Clustering Method for Building-
dc.title.alternative계층적 군집분석방법을 활용한 건물 부하의 전력수요예측-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.doi10.5370/KIEE.2015.64.1.041-
dc.identifier.bibliographicCitationTransactions of the Korean Institute of Electrical Engineers, v.64, no.1, pp.41 - 47-
dc.identifier.kciidART001952866-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-84923614584-
dc.citation.endPage47-
dc.citation.startPage41-
dc.citation.titleTransactions of the Korean Institute of Electrical Engineers-
dc.citation.volume64-
dc.citation.number1-
dc.contributor.affiliatedAuthorSon, S.-Y.-
dc.type.docTypeArticle-
dc.subject.keywordAuthorCluster analysis-
dc.subject.keywordAuthorEnergy management system (EMS)-
dc.subject.keywordAuthorHierarchical clustering method-
dc.subject.keywordAuthorLoad forecasting-
dc.subject.keywordAuthorLoad pattern-
dc.subject.keywordPlusCluster analysis-
dc.subject.keywordPlusEconomics-
dc.subject.keywordPlusElectric load forecasting-
dc.subject.keywordPlusEnergy efficiency-
dc.subject.keywordPlusEnergy management-
dc.subject.keywordPlusEnergy supplies-
dc.subject.keywordPlusHierarchical clustering methods-
dc.subject.keywordPlusHistorical data-
dc.subject.keywordPlusLoad forecasting-
dc.subject.keywordPlusLoad patterns-
dc.subject.keywordPlusPower demands-
dc.subject.keywordPlusStatistical techniques-
dc.subject.keywordPlusSupply and demand-
dc.subject.keywordPlusEnergy management systems-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
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