Evaluation of deep learning algorithm for inflow forecasting: A case study of Durian Tunggal Reservoir, Peninsular Malaysia
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 learning (ML) models have become widely prevalent in capturing the complexity of reservoir inflow time-series data. However,...
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Main Authors: | Latif, Sarmad Dashti, Ahmed, Ali Najah, Sathiamurthy, Edlic, Huang, Yuk Feng, El-Shafie, Ahmed |
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Format: | Article |
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Springer
2021
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Online Access: | http://eprints.um.edu.my/27887/ |
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