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,...

Full description

Saved in:
Bibliographic Details
Main Authors: Latif, Sarmad Dashti, Ahmed, Ali Najah, Sathiamurthy, Edlic, Huang, Yuk Feng, El-Shafie, Ahmed
Format: Article
Published: Springer 2021
Subjects:
Online Access:http://eprints.um.edu.my/27887/
Tags: Add Tag
No Tags, Be the first to tag this record!