A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach

A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach

<b>: </b>Accurate and reliable urban water demand prediction is imperative for providing the basis to design, operate, and manage water system, especially under the scarcity of the natural water resources. A new methodology combining discrete wavelet transform (DWT) with an adaptive neur...

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Bibliographic Details
Main Authors: Salah L. Zubaidi, Hussein Al-Bugharbee, Sandra Ortega-Martorell, Sadik Kamel Gharghan, Ivan Olier, Khalid S. Hashim, Nabeel Saleem Saad Al-Bdairi, Patryk Kot
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Water
Subjects:
ANFIS
crow search algorithm
municipal water demand
wavelet denoising
Online Access:https://www.mdpi.com/2073-4441/12/6/1628

Internet

https://www.mdpi.com/2073-4441/12/6/1628

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