Power management system in the microgrid with the proper electric vehicle data preprocessing

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dc.contributor.authorKim, Jangkyumko
dc.contributor.authorKim, Nakyoungko
dc.contributor.authorHan, Jaeseobko
dc.contributor.authorSeo, Hyeonseokko
dc.contributor.authorChoi, Jun Kyunko
dc.contributor.authorKim, J.ko
dc.contributor.authorKim, N.ko
dc.contributor.authorHan, J.ko
dc.contributor.authorSeo, H.ko
dc.contributor.authorKyun, Choi J.ko
dc.date.accessioned2021-10-19T07:50:26Z-
dc.date.available2021-10-19T07:50:26Z-
dc.date.created2021-10-19-
dc.date.created2021-10-19-
dc.date.issued2020-10-
dc.identifier.citation11th International Conference on Information and Communication Technology Convergence (ICTC) - Data, Network, and AI in the age of Untact (ICTC), v.2020-October, pp.1748 - 1751-
dc.identifier.isbn9781728167589-
dc.identifier.issn2162-1233-
dc.identifier.urihttp://hdl.handle.net/10203/288256-
dc.description.abstractThis paper proposes power management method in the electric vehicle charging station with the consideration of the charging characteristics of the vehicles. In our model, charging facilities determine the amount of power supplied to the electric vehicle based on the pricing data and the peak load in the region. Especially, unlike the previous researches, the proposed model can be applied to a actual environment by analyzing the practical electric vehicle charging data that gathered from the facilities. By suggesting an appropriate data classification algorithm and an energy operation method, we could reduce peak load in the region more than 20% and reduce the total charge compared with the case that proper energy operation technology is not applied.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titlePower management system in the microgrid with the proper electric vehicle data preprocessing-
dc.typeConference-
dc.identifier.wosid000692529100438-
dc.identifier.scopusid2-s2.0-85098939881-
dc.type.rimsCONF-
dc.citation.volume2020-October-
dc.citation.beginningpage1748-
dc.citation.endingpage1751-
dc.citation.publicationname11th International Conference on Information and Communication Technology Convergence (ICTC) - Data, Network, and AI in the age of Untact (ICTC)-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationJeju, SOUTH KOREA-
dc.identifier.doi10.1109/ICTC49870.2020.9289422-
dc.contributor.localauthorChoi, Jun Kyun-
dc.contributor.localauthorKyun, Choi J.-
dc.contributor.nonIdAuthorKim, Jangkyum-
dc.contributor.nonIdAuthorKim, Nakyoung-
dc.contributor.nonIdAuthorHan, Jaeseob-
dc.contributor.nonIdAuthorSeo, Hyeonseok-
dc.contributor.nonIdAuthorKim, J.-
dc.contributor.nonIdAuthorKim, N.-
dc.contributor.nonIdAuthorHan, J.-
dc.contributor.nonIdAuthorSeo, H.-
dc.type.journalArticleConference Paper-
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EE-Conference Papers(학술회의논문)
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