articleIEEE AccessJan 1, 2023GOLD OA

K-Means and Alternative Clustering Methods in Modern Power Systems

Politecnico di Milano

Indexed incrossrefdoaj

Abstract

As power systems evolve by integrating renewable energy sources, distributed generation, and electric vehicles, the complexity of managing these systems increases. With the increase in data accessibility and advancements in computational capabilities, clustering algorithms, including K-means, are becoming essential tools for researchers in analyzing, optimizing, and modernizing power systems. This paper presents a comprehensive review of over 440 articles published through 2022, emphasizing the application of K-means clustering, a widely recognized and frequently used algorithm, along with its alternative clustering methods within modern power systems. The main contributions of this study include a…

Citation impact

207
total citations
FWCI
25.78
Percentile
100%
References
444
Citations per year

Authors

4

Topics & keywords

Keywords
  • Cluster analysis
  • Computer science
  • Electric power system
  • Data mining
  • Machine learning
  • Power (physics)
UN Sustainable Development Goals
  • Affordable and clean energy
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