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A multi-stage optimization frame work for a hybrid renewable energy system using machine learning-based forcasting

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dc.contributor.author이상용-
dc.date.accessioned2026-01-17T00:03:02Z-
dc.date.available2026-01-17T00:03:02Z-
dc.date.issued2025-11-06-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/63122-
dc.titleA multi-stage optimization frame work for a hybrid renewable energy system using machine learning-based forcasting-
dc.typeConference-
dc.citation.startPage51-
dc.citation.endPage51-
dc.citation.conferenceNameThe 14th Asia-Pacific Forum on renewable energy (AFORE 2025)-
dc.citation.conferencePlace대한민국-
dc.citation.conferencePlace제주부경호텔 & 리조트-
dc.citation.conferenceDate2025-11-04 ~ 2025-12-08-
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College of Engineering > Department of Mechanical, Robotics and Energy Engineering > 2. Conference Papers

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College of Engineering (Department of Mechanical, Robotics and Energy Engineering)
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