The paper presents a performance assessment of load profiles clustering methods using
silhouette value criterion, a method of interpretation and validation of consistency within
clusters of data. Three of the most common clustering methods are considered: Density-
Based Spatial Clustering of Applications with Noise, Hierarchical cluster analysis, k-means
clustering. Based on a large dataset of real medium voltage (MV) substation load profiles,
the approaches have been first assessed on multiple smaller subsets of randomly selected …

The thesis is about a methodology for grouping MV substation load profiles based on
clustering methods and cluster validation techniques. Real data from the DSO UNARETI
was taken each 15 minutes for one year. The aim of this study is to analyze the performance
of some clustering methods mainly based on cluster validation approaches. The clustering
methodology includes the following steps: Loading raw load data from the database; load
data filter and load data simplification; analysis of samples and subsequent analysis of the …