Deriving Hedging Rules of Multi-Reservoir System by Online Evolving Neural Networks
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/s11269-014-0693-0.pdf
Reference38 articles.
1. Ashrafi SM, Dariane AB (2013) Performance evaluation of an improved search algorithm for numerical optimization: melody search (MS). Eng Appl Artif Intell 26(4):1301–1321. doi: 10.1016/j.engappai.2012.08.005
2. Bhaskar NR (1978) Application of mathematical optimization techniques in reservoir design and management studies. Ph.D. Dissertation, The Ohio state university
3. Bhaskar NR, Whitlatch EE (2010) Derivation of monthly reservoir release policies. Water Resour Res 16(6):987–993. doi: 10.1029/WR016i006p00987
4. Cancelliere A, Ancarani A, Rossi G (1998) Susceptibility of water supply reservoirs to drought conditions. J Hydrol Eng 3(2):140–148. doi: 10.1061/(ASCE)1084-0699(1998)3:2(140)
5. Cancelliere A, Giuliano G, Ancarani A, Rossi G (2002) A neural networks approach for deriving irrigation reservoir operation rules. Water Resour Manag 16:71–88. doi: 10.1023/A:1015563820136
Cited by 29 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. Water resource management and flood mitigation: hybrid decomposition EMD-ANN model study under climate change;Sustainable Water Resources Management;2024-03-05
2. Comparison of Classical and Machine Learning Methods in Estimation of Missing Streamflow Data;Water Resources Management;2024-01-15
3. A Systematic Review of Optimization of Dams Reservoir Operation Using the Meta-heuristic Algorithms;Water Resources Management;2023-04-17
4. Hybrid methods for reservoir operation rule curve determination considering uncertain future condition;Sustainable Computing: Informatics and Systems;2022-09
5. Development of an efficient input selection method for NN based streamflow model;Journal of Applied Water Engineering and Research;2022-06-20
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