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NTIS 바로가기한국수소 및 신에너지학회 논문집 = Transactions of the Korean Hydrogen and New Energy Society, v.33 no.5, 2022년, pp.591 - 597
김가영 (이화여자대학교 엘텍공과대학 기후.에너지시스템공학전공) , 이상훈 (이화여자대학교 엘텍공과대학 기후.에너지시스템공학전공)
Recently, technologies for efficient power grid operation have become important due to climate change. For this reason, predicting power demand using deep learning is being considered, and it is necessary to understand the influence of characteristics of each region, industrial structure, and climat...
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