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Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency
Smart meter datasets have recently transitioned from monthly intervals to one-second granularity, yielding invaluable insights for diverse metering functions. Clustering analysis, a fundamental data mining technique, is extensively applied to discern unique energy consumption patterns. However, the...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575252/ https://www.ncbi.nlm.nih.gov/pubmed/37837127 http://dx.doi.org/10.3390/s23198296 |