文献
J-GLOBAL ID:202102269989189258
整理番号:21A2037538
住宅電力負荷におけるクラスタ化した悪いデータの確率的予測に基づく結合検出と補完【JST・京大機械翻訳】
Probabilistic Forecasting Based Joint Detection and Imputation of Clustered Bad Data in Residential Electricity Loads
著者 (5件):
Park Soyeong
(School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), 123 Cheomdangwagi-ro, Buk-gu, Gwangju 61005, Korea)
,
Yoon Seungwook
(School of Mechatronics, GIST, 123 Cheomdangwagi-ro, Buk-gu, Gwangju 61005, Korea)
,
Lee Byungtak
(Honam Research Center, Electronics and Telecommunications Research Institute, Gwangju 61012, Korea)
,
Ko Seokkap
(Honam Research Center, Electronics and Telecommunications Research Institute, Gwangju 61012, Korea)
,
Hwang Euiseok
(School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), 123 Cheomdangwagi-ro, Buk-gu, Gwangju 61005, Korea)
資料名:
Energies (Web)
(Energies (Web))
巻:
14
号:
1
ページ:
165
発行年:
2020年
JST資料番号:
U7016A
ISSN:
1996-1073
CODEN:
ENERGA
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)