Research on recommendation algorithm of private charging pile based on collaborative filtering

Pan Zhang; Gang Chen; Xinyi Liu; Ying Gao; Yaqi Liu

doi:10.1117/12.3011802

8 November 2023 Research on recommendation algorithm of private charging pile based on collaborative filtering

Pan Zhang, Gang Chen, Xinyi Liu, Ying Gao, Yaqi Liu

Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 129230D (2023) https://doi.org/10.1117/12.3011802
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China

Abstract

Aiming at the charging difficulty of electric vehicles, this paper starts from the idea of private charging pile sharing, takes into account the needs of electric vehicles, and builds an intelligent recommendation model by adopting the collaborative filtering algorithm. By analyzing and quantifying the characteristics of electric vehicle charging demand, an evaluation model for the selection of private charging piles by electric vehicles is constructed to truly reflect the preferences of electric vehicles for charging piles. By introducing collaborative filtering recommendation algorithm, the recommendation model is proposed to obtain final recommendation results. The simulation results show that the proposed recommendation model can provide effectively charging guidance service for electric vehicles by setting the optimal recommended list length and optimal neighbor length.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Pan Zhang, Gang Chen, Xinyi Liu, Ying Gao, and Yaqi Liu "Research on recommendation algorithm of private charging pile based on collaborative filtering", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 129230D (8 November 2023); https://doi.org/10.1117/12.3011802

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