Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management

Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management

As a result of global climate change, sustainable water supply management is becoming increasingly difficult. Dams and reservoirs are key tools for controlling and managing water resources

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Bibliographic Details
Main Authors: Latif S.D., Ahmed A.N.
Other Authors: 57216081524
Format: Article
Published: Springer Science and Business Media B.V. 2024
Subjects:
Boosted regression tree (BRT)
Dokan dam
Long short-term memory (LSTM)
Reservoir inflow
Brain
Climate change
Economics
Errors
Flood control
Learning algorithms
Learning systems
Mean square error
Reservoirs (water)
Water conservation
Water management
Water supply
Boosted regression tree
Boosted regression trees
Long short-term memory
Machine learning algorithms
Root mean square errors
Streamflow prediction
Sustainable water supply
Water supply management
regression analysis
reservoir
sustainable development
water management
water resource
water supply
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Description
Summary:As a result of global climate change, sustainable water supply management is becoming increasingly difficult. Dams and reservoirs are key tools for controlling and managing water resources

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