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...
Saved in:
Main Authors: | Zanial, Wan Norsyuhada Che Wan, Malek, Marlinda Binti Abdul, Reba, Mohd Nadzri Md, Zaini, Nuratiah, Ahmed, Ali Najah, Sherif, Mohsen, Ahmed ElShafie, Ahmed Hussein Kamel |
---|---|
Format: | Article |
Published: |
Springer Heidelberg
2023
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/39148/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
River flow prediction based on improved machine learning method: Cuckoo search-artificial neural network
by: Che Wan Zanial, Wan Norsyuhada, et al.
Published: (2023) -
River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network
by: Zanial W.N.C.W., et al.
Published: (2024) -
Application of augmented bat algorithm with artificial neural network in forecasting river inflow in Malaysia
by: Wee, Wei Joe, et al.
Published: (2023) -
Enhancing reservoir operations with charged system search (CSS) algorithm: Accounting for sediment accumulation and multiple scenarios
by: Almubaidin, Mohammad Abdullah Abid, et al.
Published: (2024) -
Enhancing reservoir operations with charged system search (CSS) algorithm: Accounting for sediment accumulation and multiple scenarios
by: Almubaidin, Mohammad Abdullah Abid, et al.
Published: (2024)