Citation:
Xiang Y, Hong J, Yang Z, et al., (2020) Slope-based shape cluster method for smart metering load profiles. IEEE Transactions on Smart Grid, Volume 11, Issue 2, March 2020, pp.1809-1811
Abstract:
Cluster analysis is used to study the group of load profiles from smart meters to improve the operability in distribution network. The traditional K-means clustering analysis method employs Euclidean distance as similarity measurement, which is insufficient in reflecting the shape similarities of load profiles. In this work, we propose a novel shape cluster method based on the segmented slope of load profiles. Compared with traditional K-means and two improved algorithms, the proposed method can improve the clustering accuracy and efficiency by capturing the shape features of smart metering load profiles.