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...
Saved in:
| Published in: | Aqua (London, England) Vol. 73; no. 5; pp. 870 - 887 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Oxford
IWA Publishing
01.05.2024
|
| Subjects: | |
| ISSN: | 2709-8028, 1606-9935, 2709-8036, 1605-3974 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!