Data-driven equitable placement for electric vehicle charging stations: Case study San Francisco
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DOI: 10.1016/j.energy.2023.128796
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- Ghani, R. & Farjah, E., 2025. "A two-stage approach for determination of optimal size and site of distributed generations and charging stations in the distribution system, considering load growth and the electric vehicle penetratio," Energy, Elsevier, vol. 319(C).
- Zhang, Yuerong & Kamargianni, Maria & Cheng, Long & De Vos, Jonas & Cao, Mengqiu, 2024. "Evaluating the accessibility of on-street household electric vehicle charging stations in London: Policy insights from equity analysis across emission zones," Energy Policy, Elsevier, vol. 195(C).
- Batic, Djordje & Stankovic, Vladimir & Stankovic, Lina, 2025. "Geodemographic aware electric vehicle charging location planning for equitable placement using Graph Neural Networks: Case study of Scotland metropolitan areas," Energy, Elsevier, vol. 324(C).
- Sepehrzad, Reza & Khodadadi, Amin & Adinehpour, Sara & Karimi, Maede, 2024. "A multi-agent deep reinforcement learning paradigm to improve the robustness and resilience of grid connected electric vehicle charging stations against the destructive effects of cyber-attacks," Energy, Elsevier, vol. 307(C).
- Karmaker, Ashish Kumar & Sturmberg, Bjorn & Behrens, Sam & Pota, Hemanshu Roy, 2025. "Customer-centric meso-level planning for electric vehicle charger distribution," Applied Energy, Elsevier, vol. 389(C).
- Gönül, Ömer & Duman, A. Can & Güler, Önder, 2024. "A comprehensive framework for electric vehicle charging station siting along highways using weighted sum method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
- Dall-Orsoletta, Alaize & Oosthuizen, Rudolph & Dranka, Géremi Gilson & Ferreira, Paula, 2025. "A quantitative modeling approach to energy justice in electric vehicle adoption," Energy, Elsevier, vol. 322(C).
- Hasanien, Hany M. & Alsaleh, Ibrahim & Tostado-Véliz, Marcos & Zhang, Miao & Alateeq, Ayoob & Jurado, Francisco & Alassaf, Abdullah, 2024. "Hybrid particle swarm and sea horse optimization algorithm-based optimal reactive power dispatch of power systems comprising electric vehicles," Energy, Elsevier, vol. 286(C).
- Wang, Zhichao & Guo, Zhaomiao & Liu, Kai & Lin, Zhenhong & Li, Shunxi, 2024. "Multi-stage layout strategies of intercity charging and swapping infrastructure for electric logistics vehicles: random, radical, or conservative?," Transport Policy, Elsevier, vol. 153(C), pages 12-23.
- Cao, Jianing & Han, Yuhang & Pan, Nan & Zhang, Jingcheng & Yang, Junwei, 2024. "A data-driven approach to urban charging facility expansion based on bi-level optimization: A case study in a Chinese city," Energy, Elsevier, vol. 300(C).
- Loni, Abdolah & Asadi, Somayeh, 2024. "A data-driven approach to quantify social vulnerability to power outages: California case study," Applied Energy, Elsevier, vol. 359(C).
- Eazaz Sadeghvaziri & Ramina Javid & Hananeh Omidi & Mahmoud Arafat, 2024. "A Machine Learning Approach to Understanding Sociodemographic Factors in Electric Vehicle Ownership in the U.S," Sustainability, MDPI, vol. 16(23), pages 1-17, November.
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