Dynamics of Electricity Consumers for Classifying Power Consumption Data Using PCA

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dc.contributor.authorKim, Minkyungko
dc.contributor.authorPark, Sangdonko
dc.contributor.authorHan, Kireemko
dc.contributor.authorKim, Nakyoungko
dc.contributor.authorChoi, Jun Kyunko
dc.date.accessioned2019-07-18T06:12:59Z-
dc.date.available2019-07-18T06:12:59Z-
dc.date.created2019-06-24-
dc.date.created2019-06-24-
dc.date.created2019-06-24-
dc.date.issued2018-01-15-
dc.identifier.citation2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, pp.697 - 700-
dc.identifier.urihttp://hdl.handle.net/10203/263595-
dc.description.abstractThis paper newly proposes a dynamics of an electricity consumer with the concept of principal component analysis, which collectively analyzes the power consumption data. The dynamics is proposed as a characteristic of consumer. It is applied various consumers of different five data sets. Through the results, the comparison of different power consumption data sets is performed. Furthermore, we discussed the applications of the consumer groups classified by dynamics.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleDynamics of Electricity Consumers for Classifying Power Consumption Data Using PCA-
dc.typeConference-
dc.identifier.wosid000435014000120-
dc.identifier.scopusid2-s2.0-85048506962-
dc.type.rimsCONF-
dc.citation.beginningpage697-
dc.citation.endingpage700-
dc.citation.publicationname2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018-
dc.identifier.conferencecountryCC-
dc.identifier.conferencelocationShanghai-
dc.identifier.doi10.1109/BigComp.2018.00129-
dc.contributor.localauthorChoi, Jun Kyun-
dc.contributor.nonIdAuthorKim, Minkyung-
dc.contributor.nonIdAuthorPark, Sangdon-
dc.contributor.nonIdAuthorHan, Kireem-
dc.contributor.nonIdAuthorKim, Nakyoung-
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EE-Conference Papers(학술회의논문)
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