Water Demand Prediction Based on KS-PSO-BP Neural Network Coupled Model： A Case Study of Jiangsu Province

[Objective] Current research on water demand prediction primarily focuses on improving prediction accuracy， while studies on interval prediction of water demand remain limited. This study aims to further improve prediction accuracy， reduce error interval and reflect the actual regional water demand...

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Autor principal:	LI En, SUN Bo-ming, SUN Xiao-wen, ZHAO Min, YAO Xiang-yang, YAN Bing
Formato:	Artigo
Lenguaje:	Chinês
Publicado:	Editorial Office of Journal of Changjiang River Scientific Research Institute 2026-07-01
Colección:	长江科学院院报
Materias:	water demand prediction|principal component analysis|grey relational analysis|pso-bp neural network|k-s normality test
Acceso en línea:	http://ckyyb.crsri.cn/fileup/1001-5485/PDF/1758251381842-296205872.pdf
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