Robust adaptive optimization for sustainable water demand prediction in water distribution systems

Abstract The advancement of the Internet of Things has positioned intelligent water demand forecasting as a critical component in the quest for sustainable water resource management. Despite the potential benefits, the inherent non-stationarity of water consumption data poses significant hurdles to...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Ke Wang, Jiayang Meng, Zhangquan Wang, Kehua Zhao, Banteng Liu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-02-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Water demand prediction Sequence decomposition Permutation entropy Smart water management Long short-term memory network
Online-Zugang:	https://doi.org/10.1038/s41598-025-88628-7
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!