Comparative Study of Coupling Models of Feature Selection Methods and Machine Learning Techniques for Predicting Monthly Reservoir Inflow

Comparative Study of Coupling Models of Feature Selection Methods and Machine Learning Techniques for Predicting Monthly Reservoir Inflow

Effective reservoir operation under the effects of climate change is immensely challenging. The accuracy of reservoir inflow forecasting is one of the essential factors supporting reservoir operations. This study aimed to investigate coupling models of feature selection (FS) and machine learning (ML...

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Bibliographic Details
Main Authors: Jakkarin Weekaew, Pakorn Ditthakit, Quoc Bao Pham, Nichnan Kittiphattanabawon, Nguyen Thi Thuy Linh
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Water
Subjects:
backward elimination
genetic algorithm
multiple linear regression
reservoir inflow forecasting
artificial neural network
support vector regression
Online Access:https://www.mdpi.com/2073-4441/14/24/4029

Internet

https://www.mdpi.com/2073-4441/14/24/4029

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