EV aggregation modeling based on improved K-means

Wenshan Xiao; Jun Wu; Zihui Guo; Wenxin Huang; Zichen Liu

doi:10.1117/12.2689418

10 August 2023 EV aggregation modeling based on improved K-means

Wenshan Xiao, Jun Wu, Zihui Guo, Wenxin Huang, Zichen Liu

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127482Y (2023) https://doi.org/10.1117/12.2689418
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

An improved K-means clustering algorithm based on the initial clustering center is used to cluster the charging data of electric vehicles. The multi-classification method is studied, and the clustering effect of different number of clusters is analyzed with the contour coefficient as the evaluation standard. The simulation results show that this method can properly cluster the group characteristics of electric vehicles

Citation Download Citation

Wenshan Xiao, Jun Wu, Zihui Guo, Wenxin Huang, and Zichen Liu "EV aggregation modeling based on improved K-means", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127482Y (10 August 2023); https://doi.org/10.1117/12.2689418

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