An Incremental Clustering Algorithm with Pattern Drift Detection for IoT-Enabled Smart Grid System

The IoT-enabled smart grid system provides smart meter data for electricity consumers to record their energy consumption behaviors, the typical features of which can be represented by the load patterns extracted from load data clustering. The changeability of consumption behaviors requires load patt...

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Detalles Bibliográficos
Autores principales: Jiang, Zigui, Lin, Rongheng, Yang, Fangchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512161/
https://www.ncbi.nlm.nih.gov/pubmed/34640791
http://dx.doi.org/10.3390/s21196466

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512161/
https://www.ncbi.nlm.nih.gov/pubmed/34640791
http://dx.doi.org/10.3390/s21196466

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