Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...

Abstract: Analyzing the uncertainty of electric vehicle (EV) charging behavior is of great significance for the safety, stability, and reliability of power distribution networks. Cluster analysis can ...