Robust Methods for Identifying Optimal Reservoir Operation Strategies Using Deterministic and Stochastic Formulations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-009-9566-3.pdf
Reference37 articles.
1. Araghinejad S, Burn DH, Karamouz M (2006) Long-lead probabilistic forecasting of streamflow using ocean-atmospheric and hydrological predictors. Water Resour Res 42:1–11. doi: 10.1029/2004WR003853
2. Bannayan M, Hoogenboom G (2008) Predicting realization of daily weather data for climate forecasts using the non-parametric nearest-neighbor re-sampling technique. Int J Climatol 28(10):1357–1368. doi: 10.1002/joc.1637
3. Burn DH, Yulianti S (2001) Waste-load allocation using genetic algorithms. J Water Res Plan Manage 127(2):121–129. doi: 10.1061/(ASCE)0733-9496(2001)127:2(121)
4. Celeste AB, Suzuki K, Kadota A (2008) Integrating long- and short-term reservoir operation models via stochastic and deterministic optimization: case study in Japan. J Water Res Plan Manage 134(5):440–448
5. Chang F, Hui S, Chen Y (2002) Reservoir operation using grey fuzzy stochastic dynamic programming. Hydrol Processes 16(12):2395–2408
Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Systematic Review of Optimization of Dams Reservoir Operation Using the Meta-heuristic Algorithms;Water Resources Management;2023-04-17
2. Development of water re-allocation policy under uncertainty conditions in the inflow to reservoir and demands parameters: a case study of Karaj AmirKabir dam;Soft Computing;2023-02-08
3. Development of water re-allocation policy under uncertainty conditions in the inflow to reservoir and demands parameters: A case study of Karaj AmirKabir dam;2023-01-12
4. Quantifying the contribution of uncertainty sources of artificial neural network models using ANOVA for reservoir power generation;Hydrology Research;2022-12-01
5. Evaluating the impact of the environment on depleting groundwater resources: a case study from a semi-arid and arid climatic region;Hydrological Sciences Journal;2022-03-24
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3