An EV Charging Station Siting Model Based on Machine Learning

Author:

Dai YufangORCID,Liu MinghaoORCID,Liao XiangliORCID

Publisher

Springer Nature Singapore

Reference10 articles.

1. Chen, Q., Sun, J., Chen, K., et al.: Research status and development trend of battery management system for pure electric vehicle home and abroad. Mod. Veh. Power (01), 1–6+35 (2022)

2. Deng, K., Feng, H., Xu, G., et al.: Site selection method of banking facility location based on multi-source big data fusion. J. Chongqing Univ. Posts Telecommun. (Nat. Sci. Ed.) 32(04), 664–672 (2020)

3. Liu, C., Liu, H., et al.: Multi-objective EV charging station planning with consideration of road network reliability and distribution network reliability. Electric Power Autom. Equip. 37(08), 28–34 (2017)

4. Li, S., Sun, Q., Bai, X., et al.: Optimal planning model for electric vehicle charging stations considering users’ demands. Renew. Energy Res. 36(04), 568–573 (2018)

5. Yang, J., Dong, J., Hu, L.: A data-driven optimization-based approach for siting and sizing of electric taxi charging stations. Transport. Res. Part C: Emerg. Technol. 77, 462–477 (2017)

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