Evaluating the performance of feature selection techniques and machine learning algorithms on future residential water demand

Evaluating the performance of feature selection techniques and machine learning algorithms on future residential water demand

The provision of potable water as a severe challenge has engaged many people worldwide. So, identifying influential factors in water demand forecasting (WDF) for the residential sector performs a vital role in water crisis management. Nowadays, long-term macro-planning for vast geographical areas he...

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Bibliographic Details
Main Authors: Marziyeh Pourmousavi, Hossein Nasrollahi, Abdolhamid Amirkaveh Najafabadi, Ahmad Kalhor
Format: Article
Language:English
Published: IWA Publishing 2022-08-01
Series:Water Supply
Subjects:
feature selection
machine learning
mutual information
regression model
water demand forecasting
Online Access:http://ws.iwaponline.com/content/22/8/6833

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http://ws.iwaponline.com/content/22/8/6833

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