Photovoltaic Power Pattern Clustering

A method to cluster Photovoltaic power pattern data. Clustering algorithms, to determine the optimum number of clusters and to produce cluster representatives for Photovoltaic power pattern data, from different clustering categories are involved: K-means from partitional clustering, Hierarchical Ward¿s minimum variance (WMV) from agglomerative clustering, Fuzzy C-means (FCM) from fuzzy clustering, self-organizing maps (SOM) from neural network based algorithms, and Ant Colony and Bat from bio-inspired swarm optimization methods.