Consideration of streamflow forecast uncertainty in the development of short-term hydropower station optimal operation schemes: A novel approach based on mean-variance theory

被引：0

作者：

Liu, Yuan ^{[1
]}

Ji, Changming ^{[1
]}

Wang, Yi ^{[1
]}

Zhang, Yanke ^{[1
]}

Hou, Xiaoning ^{[1
]}

Ma, Haoyu ^{[1
]}

机构：

[1] School of Water Resources and Hydropower Engineering, North China Electric Power University, 2 Beinong Rd, Changping, Beijing,102206, China

来源：

Journal of Cleaner Production | 2021年 / 304卷

基金：

中国国家自然科学基金;

关键词：

Dependent structure - Forecast errors - Hydropower stations - Leadtime - Mean-variance theory - Multivariate hydrologic uncertainty processor - Optimal hydropower generation - Optimal operation - Short term - Streamflow forecast uncertainty;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 3 条

[1] Consideration of streamflow forecast uncertainty in the development of short-term hydropower station optimal operation schemes: A novel approach based on mean-variance theory
Liu, Yuan
Ji, Changming
Wang, Yi
Zhang, Yanke
Hou, Xiaoning
Ma, Haoyu
[J]. JOURNAL OF CLEANER PRODUCTION, 2021, 304
[2] Short-term optimal operation model of hydropower station coupling the integrality of forecast uncertainty
Ji C.
Liu Y.
Wang Y.
Zhang Y.
Chen P.
Wang L.
[J]. Wang, Yi (51102473@ncepu.edu.cn), 1600, International Research and Training Center on Erosion and Sedimentation and China Water and Power Press (52): : 907 - 916
[3] A MEAN-VARIANCE APPROACH TO SHORT-TERM TIMBER SELLING AND FOREST TAXATION UNDER MULTIPLE SOURCES OF UNCERTAINTY
OLLIKAINEN, M
[J]. CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE, 1993, 23 (04): : 573 - 581

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