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Graph-based two-level clustering for electric vehicle usage patterns
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DOI：10.1016/j.egyai.2025.100539.png)
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Abstract
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• A two level clustering framework for electric vehicle driving and charging patterns. • Application of the clustering framework on real data with 3,100 electric vehicles. • Analysis of charging and battery patterns for each group of vehicles. • Identification of clusters with distinct battery usage characteristics.
Keywords:
Electric vehicles
Time-series clustering
Two-level clustering
Graph-based clustering
Multivariate time-series
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