A novel methodology to predict monthly municipal water demand based on weather variables scenario

This study provides a novel methodology to predict monthly water demand based on several weather variables scenarios by using combined techniques including discrete wavelet transform, principal component analysis, and particle swarm optimisation. To our knowledge, the adopted approach is the first t...

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Главные авторы:	Salah L. Zubaidi, Khalid Hashim, Saleem Ethaib, Nabeel Saleem Saad Al-Bdairi, Hussein Al-Bugharbee, Sadik Kamel Gharghan
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Springer 2022-03-01
Серии:	Journal of King Saud University: Engineering Sciences
Предметы:	Australia Discrete wavelet transform Particle swarm optimization Principal component analysis Water demand
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S1018363920303111
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