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...

Descripción completa

Detalles Bibliográficos
Autores principales: Al-Bazzaz, Hussein, Azam, Muhammad, Amayri, Manar, Bouguila, Nizar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575252/
https://www.ncbi.nlm.nih.gov/pubmed/37837127
http://dx.doi.org/10.3390/s23198296

Ejemplares similares