首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Evaluation of deep learning algorithm for inflow forecasting: a case study of Durian Tunggal Reservoir,Peninsular Malaysia
Authors:Latif  Sarmad Dashti  Ahmed  Ali Najah  Sathiamurthy  Edlic  Huang  Yuk Feng  El-Shafie  Ahmed
Institution:1.Civil Engineering Department, College of Engineering, Komar University of Science and Technology, Sulaimany, 46001, Kurdistan Region, Iraq
;2.Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional (UNITEN), 43000, Selangor, Malaysia
;3.Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Terengganu, Malaysia
;4.Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia
;5.Department of Civil Engineering, Faculty of Engineering, University of Malaya (UM), 50603, Kuala Lumpur, Malaysia
;6.National Water and Energy Center, United Arab Emirates University, P.O. Box. 15551, Al Ain, United Arab Emirates
;
Abstract:Natural Hazards - Forecasting of reservoir inflow is one of the most vital concerns when it comes to managing water resources at reservoirs to mitigate natural hazards such as flooding. Machine...
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号