Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance-Reference-Cited by-同舟云学术

Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance

Published:2019-01 Issue: Volume:163 Page:907-926
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Allawi Mohammed Falah,Jaafar Othman,Mohamad Hamzah Firdaus,Koting Suhana Binti,Mohd Nuruol Syuhadaa Binti,El-Shafie Ahmed

Funder

University of Malaya, Malaysia

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference41 articles.

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3. Reservoir optimization using sampling SDP with ensemble streamflow prediction (ESP) forecasts;Faber;J. Hydrol.,2001

4. An effective approach to long-term optimal operation of large-scale reservoir systems: case study of the three gorges system;Li;Water Resour. Manag.,2012

5. Optimizing the reservoir operating rule curves by genetic algorithms;Chang;Hydrol. Process.,2005

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