文献
J-GLOBAL ID:202102263897443330
整理番号:21A1009857
改良Gaussプロセス回帰に基づく中国における短期再生可能エネルギー消費のための新しい予測アプローチ【JST・京大機械翻訳】
A Novel Prediction Approach for Short-Term Renewable Energy Consumption in China Based on Improved Gaussian Process Regression
著者 (5件):
Huang Yuansheng
(School of Economics and Management, North China Electric Power University, Beijing 102206, China)
,
Yang Lei
(School of Economics and Management, North China Electric Power University, Beijing 102206, China)
,
Gao Chong
(School of Economics and Management, North China Electric Power University, Baoding 071003, China)
,
Jiang Yuqing
(School of Economics and Management, North China Electric Power University, Baoding 071003, China)
,
Dong Yulin
(School of Economics and Management, North China Electric Power University, Baoding 071003, China)
資料名:
Energies (Web)
(Energies (Web))
巻:
12
号:
21
ページ:
4181
発行年:
2019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)