Improving Dam and Reservoir Operation Rules Using Stochastic Dynamic Programming and Artificial Neural Network Integration Model

Improving Dam and Reservoir Operation Rules Using Stochastic Dynamic Programming and Artificial Neural Network Integration Model

The simulation elevation-surface area-storage interrelationship of a reservoir is a crucial task in developing ideal water release policies for reservoir and dam operations. In this study, an inclusive (stochastic dynamic programming-artificial neural network (SDP-ANN)) model was established and app...

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Bibliographic Details
Main Authors: Sabah Saadi Fayaed, Seef Saadi Fiyadh, Wong Jee Khai, Ali Najah Ahmed, Haitham Abdulmohsin Afan, Rusul Khaleel Ibrahim, Chow Ming Fai, Suhana Koting, Nuruol Syuhadaa Mohd, Wan Zurina Binti Jaafar, Lai Sai Hin, Ahmed El-Shafie
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sustainability
Subjects:
sg. langat dam
reservoir operation policy
stochastic dynamic programming (sdp)
optimization technique
simulation technique
artificial neural network (ann)
Online Access:https://www.mdpi.com/2071-1050/11/19/5367

Internet

https://www.mdpi.com/2071-1050/11/19/5367

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