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Whole Time Series Data Streams Clustering: Dynamic Profiling of the Electricity Consumption
Data from smart grids are challenging to analyze due to their very large size, high dimensionality, skewness, sparsity, and number of seasonal fluctuations, including daily and weekly effects. With the data arriving in a sequential form the underlying distribution is subject to changes over the time...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765420/ https://www.ncbi.nlm.nih.gov/pubmed/33333937 http://dx.doi.org/10.3390/e22121414 |