Pattern recognition as a tool to support decision making in the management of the electric sector. Part II: A new method based on clustering of multivariate time series
Method new of clustering and pattern recognition of multivariate time series. Proposes a approach to recognize consumption patterns in the electricity sector. Unlike Fuzzy C-Means method, the number of clusters is obtained automatically. The results demonstrate its good performance in samples with heterogeneous data.
pattern clustering multivariate time series electricity distribution