文献
J-GLOBAL ID:202202235595001603
整理番号:22A0561099
短期カスケード水力発電所運転最適化のための河川流量予測不確実性の定量化【JST・京大機械翻訳】
Quantifying streamflow predictive uncertainty for the optimization of short-term cascade hydropower stations operations
著者 (6件):
Liu Yuan
(School of Water Resources and Hydropower Engineering, North China Electric Power University, 2 Beinong Rd, Changping, Beijing 102206, PR China)
,
Ji Changming
(School of Water Resources and Hydropower Engineering, North China Electric Power University, 2 Beinong Rd, Changping, Beijing 102206, PR China)
,
Wang Yi
(School of Water Resources and Hydropower Engineering, North China Electric Power University, 2 Beinong Rd, Changping, Beijing 102206, PR China)
,
Zhang Yanke
(School of Water Resources and Hydropower Engineering, North China Electric Power University, 2 Beinong Rd, Changping, Beijing 102206, PR China)
,
Hou Xiaoning
(School of Water Resources and Hydropower Engineering, North China Electric Power University, 2 Beinong Rd, Changping, Beijing 102206, PR China)
,
Xie Yutao
(School of Water Resources and Hydropower Engineering, North China Electric Power University, 2 Beinong Rd, Changping, Beijing 102206, PR China)
資料名:
Journal of Hydrology
(Journal of Hydrology)
巻:
605
ページ:
Null
発行年:
2022年
JST資料番号:
C0584A
ISSN:
0022-1694
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)