Identifying daily water consumption patterns based on K-means Clustering, Agglomerative Hierarchical Clustering, and Spectral Clustering algorithms

Understanding daily water consumption patterns is crucial for efficient management and distribution of water resources, as well as for promoting energy conservation and achieving carbon peaking and neutrality targets. It compares performance of three clustering algorithms, K-means Clustering (KC), A...

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Bibliographic Details
Published in:Aqua (London, England) Vol. 73; no. 5; pp. 870 - 887
Main Authors: Guo, Hongyuan, Liu, Xingpo, Zhang, Qichen
Format: Journal Article
Language:English
Published: Oxford IWA Publishing 01.05.2024
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ISSN:2709-8028, 1606-9935, 2709-8036, 1605-3974
Online Access:Get full text
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