Predicting the urban water demand by equipping intelligent-based methods with discrete wavelet transform function
Abstract To satisfy the consumer demand, urban infrastructures are generally designed. The water distribution network (WDN) is one of the most important urban infrastructures in which optimal design and operation of it is essential during the operation period. For this purpose, in this research, art...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2025-01-01
|
Series: | Applied Water Science |
Subjects: | |
Online Access: | https://doi.org/10.1007/s13201-025-02368-7 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|