River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network

River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network

One of the largest hydropower facilities currently in operation in Malaysia is the Terengganu hydroelectric facility. As a result, for hydropower generation to be sustainable, future water availability in hydropower plants must be known. Therefore, it is necessary to precisely estimate how the river...

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Bibliographic Details
Main Authors: Zanial W.N.C.W., Malek M.B.A., Reba M.N.M., Zaini N., Ahmed A.N., Sherif M., Elshafie A.
Other Authors: 57205239441
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2024
Subjects:
ANN
Hybrid CS-ANN
Hydropower Plant
River flow
Malaysia
Biomimetics
Hydroelectric power
Hydroelectric power plants
Learning algorithms
Machine learning
Neural networks
Optimization
Rivers
Stream flow
Artificial neural network modeling
Case-studies
Hybrid CS-artificial neural network
Hydropower plants
Machine learning methods
Prediction-based
River flow prediction
Stand -alone
Statistical indices
algorithm
artificial neural network
hydroelectric power plant
machine learning
precipitation intensity
prediction
river flow
Mean square error
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