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Dynamic pricing and energy management for profit maximization in multiple smart electric vehicle charging stations: A privacy-preserving deep reinforcement learning approach

Citations

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  1. Xiao, Jun & Li, Chengjin & She, Buxin & Jiao, Heng & Wang, Chuanqi & Zhang, Shihao, 2024. "Distribution system security region with energy storage systems," Energy, Elsevier, vol. 313(C).
  2. Paudel, Diwas & Das, Tapas K., 2023. "A deep reinforcement learning approach for power management of battery-assisted fast-charging EV hubs participating in day-ahead and real-time electricity markets," Energy, Elsevier, vol. 283(C).
  3. Chen, Minghao & Sun, Yi & Xie, Zhiyuan & Lin, Nvgui & Wu, Peng, 2023. "An efficient and privacy-preserving algorithm for multiple energy hubs scheduling with federated and matching deep reinforcement learning," Energy, Elsevier, vol. 284(C).
  4. Zhang, Shulei & Jia, Runda & Pan, Hengxin & Cao, Yankai, 2023. "A safe reinforcement learning-based charging strategy for electric vehicles in residential microgrid," Applied Energy, Elsevier, vol. 348(C).
  5. Qiu, Dawei & Wang, Yi & Hua, Weiqi & Strbac, Goran, 2023. "Reinforcement learning for electric vehicle applications in power systems:A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
  6. Panagiotis Michailidis & Iakovos Michailidis & Elias Kosmatopoulos, 2025. "Reinforcement Learning for Electric Vehicle Charging Management: Theory and Applications," Energies, MDPI, vol. 18(19), pages 1-50, October.
  7. Wang, Haibing & Zhu, Libo & Sun, Weiqing & Khan, Muhammad Qasim & Liu, Bin, 2024. "Research on energy pricing of the hydrogen refueling station based on master-slave game in multi-market," Applied Energy, Elsevier, vol. 373(C).
  8. Feng, Bin & Liu, Zhuping & Huang, Gang & Guo, Chuangxin, 2023. "Robust federated deep reinforcement learning for optimal control in multiple virtual power plants with electric vehicles," Applied Energy, Elsevier, vol. 349(C).
  9. Huang, Pei & Sandström, Maria, 2025. "Do smart charging and vehicle-to-grid strengthen or strain power grids with rising EV adoption? Insights from a Swedish residential network," Applied Energy, Elsevier, vol. 401(PB).
  10. Truong, Van Binh & Le, Long Bao, 2024. "Electric vehicle charging design: The factored action based reinforcement learning approach," Applied Energy, Elsevier, vol. 359(C).
  11. Zhang, Hao & Yang, Guixiang & Lei, Nuo & Chen, Chaoyi & Chen, Boli & Qiu, Lin, 2025. "Scenario-aware electric vehicle energy control with enhanced vehicle-to-grid capability: A multi-task reinforcement learning approach," Energy, Elsevier, vol. 335(C).
  12. Yang, Guixiang & Zhang, Hao & Qiu, Lin, 2026. "Graph-based multi-agent reinforcement learning with an enriched environment for joint ride-sharing and charging optimization," Applied Energy, Elsevier, vol. 405(C).
  13. Cui, Jingshi & Jiang, Wenqian & Wu, Chenye, 2025. "Pricing mechanism design for future EV charging station with hybrid fixed and mobile charging modes," Applied Energy, Elsevier, vol. 380(C).
  14. Monica Alonso & Hortensia Amaris & David Martin & Arturo de la Escalera, 2023. "Proximal Policy Optimization for Energy Management of Electric Vehicles and PV Storage Units," Energies, MDPI, vol. 16(15), pages 1-20, July.
  15. Li Cui & Yanping Wang & Hongquan Qu & Yiqiang Li & Mingshen Wang & Qingyuan Wang, 2025. "Decision Making for Energy Acquisition of Electric Vehicle Taxi with Profit Maximization," Sustainability, MDPI, vol. 17(11), pages 1-24, June.
  16. Li, Jing & Lin, Xueru & Huang, Hao & Wang, Rui & Zhong, Wei & Lin, Xiaojie & Wei, Wei, 2026. "Optimal operation of grid-friendly megawatt-level ultra-fast EV charging stations: A review on constraints, objectives and algorithms for grid-interactive operation," Applied Energy, Elsevier, vol. 405(C).
  17. Md Sahabul Hossain & Craig Rodine & Eirini Eleni Tsiropoulou, 2024. "A Blockchain and PKI-Based Secure Vehicle-to-Vehicle Energy-Trading Protocol," Energies, MDPI, vol. 17(17), pages 1-52, August.
  18. Pinthurat, Watcharakorn & Surinkaew, Tossaporn & Hredzak, Branislav, 2024. "An overview of reinforcement learning-based approaches for smart home energy management systems with energy storages," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
  19. Matkovic, Daria & Pilski, Terezija Matijasevic & Capuder, Tomislav, 2025. "Participation of electric vehicle charging station aggregators in the day-ahead energy market using demand forecasting and uncertainty-based pricing," Energy, Elsevier, vol. 328(C).
  20. Yang, Meng & Chen, Yue & Huang, Shihan & Chen, Laijun, 2025. "Recent advances in coordination and optimization of power-transportation systems: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 220(C).
  21. George-Williams, H. & Wade, N. & Carpenter, R.N., 2022. "A probabilistic framework for the techno-economic assessment of smart energy hubs for electric vehicle charging," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
  22. Mahmud, Sakib & Sayed, Aya Nabil & Himeur, Yassine & Nhlabatsi, Armstrong & Bensaali, Faycal, 2026. "A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PE).
  23. Zhao, Zhonghao & Lee, Carman K.M. & Yan, Xiaoyuan & Wang, Haonan, 2024. "Reinforcement learning for electric vehicle charging scheduling: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 190(C).
  24. Lange, Fabian & Schlosser, Rainer, 2025. "Dynamic pricing with waiting and price-anticipating customers," Operations Research Perspectives, Elsevier, vol. 14(C).
  25. Ji, Zhenya & Teng, Feiyang & Teng, Changlong & Bao, Yuqing & Zhang, Ziqi & Liu, Xiaofeng, 2025. "User-preference-aware charging scheduling for electric vehicles based on motivation-hygiene theory," Energy, Elsevier, vol. 335(C).
  26. Pegah Alaee & Julius Bems & Amjad Anvari-Moghaddam, 2023. "A Review of the Latest Trends in Technical and Economic Aspects of EV Charging Management," Energies, MDPI, vol. 16(9), pages 1-28, April.
  27. Qin Chen & Komla Agbenyo Folly, 2022. "Application of Artificial Intelligence for EV Charging and Discharging Scheduling and Dynamic Pricing: A Review," Energies, MDPI, vol. 16(1), pages 1-26, December.
  28. Chuming Pang & Yongkui Shi & Yang Liu, 2023. "Research on Sustainable Development of Mining Goaf Management Based on Economic Models," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
  29. Homod, Raad Z. & Togun, Hussein & Kadhim Hussein, Ahmed & Noraldeen Al-Mousawi, Fadhel & Yaseen, Zaher Mundher & Al-Kouz, Wael & Abd, Haider J. & Alawi, Omer A. & Goodarzi, Marjan & Hussein, Omar A., 2022. "Dynamics analysis of a novel hybrid deep clustering for unsupervised learning by reinforcement of multi-agent to energy saving in intelligent buildings," Applied Energy, Elsevier, vol. 313(C).
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