K-Means and Alternative Clustering Methods in Modern Power Systems
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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
4Topics & keywords
Topics
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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