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Multi-agent deep reinforcement learning for resilience-driven routing and scheduling of mobile energy storage systems

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  1. Sun, Yuxin & Huang, Xujun & Wang, Guibin & Zhang, Xian & Qiu, Jing & Strbac, Goran, 2025. "Low-carbon traffic resilience-enhanced robust planning of coupled transportation and power distribution network based on modified user equilibrium model," Applied Energy, Elsevier, vol. 397(C).
  2. Yang, Ruizhang & Xiao, Zhuang & Xiong, Wei & Hou, Yunhe, 2026. "Coordinative multi-stage approach to railway energy system resilience enhancement: From risk-aware FTPSS planning to emergency energy management and adaptive train control," Applied Energy, Elsevier, vol. 402(PB).
  3. Xie, Hongbin & Zhang, Haoran & Song, Ge & Zhang, Jingyuan & Fu, Hongdi & Zhang, Liyu & Chen, Nianru & Song, Xuan, 2026. "Enhancing resilience of electric vehicle charging management in hydrogen–electric coupled distribution networks: A risk-characterization multi-agent reinforcement learning approach," Applied Energy, Elsevier, vol. 404(C).
  4. Yan, Xingyu & Gao, Ciwei & Francois, Bruno, 2025. "Multi-objective optimization of a virtual power plant with mobile energy storage for a multi-stakeholders energy community," Applied Energy, Elsevier, vol. 386(C).
  5. Harrold, Daniel J.B. & Cao, Jun & Fan, Zhong, 2022. "Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning," Applied Energy, Elsevier, vol. 318(C).
  6. Sun, Shaohua & Li, Gengfeng & Bie, Zhaohong & Zhang, Dingmao & Huang, Yuxiong, 2025. "Hybrid multi-agent deep reinforcement learning for multi-type mobile resources dispatching under transportation and power network recovery," Applied Energy, Elsevier, vol. 399(C).
  7. Hajialigol, Parisa & Nweye, Kingsley & Aghaei, Mohammadreza & Najafi, Behzad & Moazami, Amin & Nagy, Zoltan, 2025. "Enhancing self-consumption ratio in a smart microgrid by applying a reinforcement learning-based energy management system," Energy, Elsevier, vol. 335(C).
  8. Kang, Hyuna & Jung, Seunghoon & Kim, Hakpyeong & Jeoung, Jaewon & Hong, Taehoon, 2024. "Reinforcement learning-based optimal scheduling model of battery energy storage system at the building level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PA).
  9. Gabriel Pesántez & Wilian Guamán & José Córdova & Miguel Torres & Pablo Benalcazar, 2024. "Reinforcement Learning for Efficient Power Systems Planning: A Review of Operational and Expansion Strategies," Energies, MDPI, vol. 17(9), pages 1-25, May.
  10. Wu, Chuantao & Wang, Tao & Zhou, Dezhi & Cao, Shankang & Sui, Quan & Lin, Xiangning & Li, Zhengtian & Wei, Fanrong, 2023. "A distributed restoration framework for distribution systems incorporating electric buses," Applied Energy, Elsevier, vol. 331(C).
  11. Venkatasubramanian, Balaji V. & Panteli, Mathaios, 2023. "Power system resilience during 2001–2022: A bibliometric and correlation analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
  12. Zhang, Xi & Dong, Zihang & Huangfu, Fenyu & Ye, Yujian & Strbac, Goran & Kang, Chongqing, 2024. "Strategic dispatch of electric buses for resilience enhancement of urban energy systems," Applied Energy, Elsevier, vol. 361(C).
  13. An, Sihai & Qiu, Jing & Lin, Jiafeng & Yao, Zongyu & Liang, Qijun & Lu, Xin, 2025. "Planning of a multi-agent mobile robot-based adaptive charging network for enhancing power system resilience under extreme conditions," Applied Energy, Elsevier, vol. 395(C).
  14. Kumar, Roshan & De, Mala, 2025. "Advancement in power system resilience through deep reinforcement learning: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 222(C).
  15. Qiu, Dawei & Wang, Yi & Sun, Mingyang & Strbac, Goran, 2022. "Multi-service provision for electric vehicles in power-transportation networks towards a low-carbon transition: A hierarchical and hybrid multi-agent reinforcement learning approach," Applied Energy, Elsevier, vol. 313(C).
  16. Wang, Dawei & Guo, Jingwei & Zhang, Yongxiang & Zhong, Qingwei & Xu, Hongke, 2025. "Optimizing expressway battery electric vehicle charging and mobile storage energy truck scheduling: A two-stage approach to improve photovoltaic generation utilization," Energy, Elsevier, vol. 320(C).
  17. Li, Sichen & Hu, Weihao & Cao, Di & Chen, Zhe & Huang, Qi & Blaabjerg, Frede & Liao, Kaiji, 2023. "Physics-model-free heat-electricity energy management of multiple microgrids based on surrogate model-enabled multi-agent deep reinforcement learning," Applied Energy, Elsevier, vol. 346(C).
  18. Lei, Ying & Zhao, Liyuan & Gu, Junhua & Wang, Jingshu, 2025. "Optimal scheduling of electric-gas-thermal-hydrogen integrated energy system considering uncertainties and safe guarantee: A TD3-MIP-based approach," Energy, Elsevier, vol. 332(C).
  19. 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).
  20. Wanwei Huang & Hongchang Liu & Yingying Li & Linlin Ma, 2025. "ERA-MADDPG: An Elastic Routing Algorithm Based on Multi-Agent Deep Deterministic Policy Gradient in SDN," Future Internet, MDPI, vol. 17(7), pages 1-20, June.
  21. Zhuoxin Lu & Xiaoyuan Xu & Zheng Yan & Dong Han & Shiwei Xia, 2024. "Mobile Energy-Storage Technology in Power Grid: A Review of Models and Applications," Sustainability, MDPI, vol. 16(16), pages 1-19, August.
  22. Li, Yutong & Hou, Jian & Yan, Gangfeng, 2024. "Exploration-enhanced multi-agent reinforcement learning for distributed PV-ESS scheduling with incomplete data," Applied Energy, Elsevier, vol. 359(C).
  23. Qiu, Dawei & Wang, Yi & Zhang, Tingqi & Sun, Mingyang & Strbac, Goran, 2023. "Hierarchical multi-agent reinforcement learning for repair crews dispatch control towards multi-energy microgrid resilience," Applied Energy, Elsevier, vol. 336(C).
  24. Wang, Dawei & Guo, Jingwei & Zhang, Yongxiang & Feng, Tao & Zhang, Chunyang, 2025. "Enhancing solar energy generation utilization along highways: optimizing electric vehicle charging-swapping schemes and scheduling mobile energy storage systems," Applied Energy, Elsevier, vol. 399(C).
  25. Antonio E. C. Momesso & Pedro H. A. Barra & Pedro I. N. Barbalho & Eduardo N. Asada & José C. M. Vieira & Denis V. Coury, 2024. "An Impact Assessment of a Transportable BESS on the Protection of Conventional Distribution Systems," Energies, MDPI, vol. 17(16), pages 1-15, August.
  26. Zhang, Lu & Yu, Shunjiang & Zhang, Bo & Li, Gen & Cai, Yongxiang & Tang, Wei, 2023. "Outage management of hybrid AC/DC distribution systems: Co-optimize service restoration with repair crew and mobile energy storage system dispatch," Applied Energy, Elsevier, vol. 335(C).
  27. Xu, Jiuping & Tian, Yalou & Wang, Fengjuan & Yang, Guocan & Zhao, Chuandang, 2024. "Resilience-economy-environment equilibrium based configuration interaction approach towards distributed energy system in energy intensive industry parks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
  28. Hu, Xiaorui & Guo, Haotian & Lao, Keng-Weng & Hao, Junkun & Liu, Fengrui & Ren, Zhongyu, 2025. "MiniRocket-MARL synergy for storm tide resilience: MESS-DV enhanced recovery in coastal distribution networks," Applied Energy, Elsevier, vol. 401(PB).
  29. 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).
  30. 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.
  31. Muhammad Ikram & Daryoush Habibi & Asma Aziz, 2025. "Networked Multi-Agent Deep Reinforcement Learning Framework for the Provision of Ancillary Services in Hybrid Power Plants," Energies, MDPI, vol. 18(10), pages 1-34, May.
  32. Li, Linyue & Li, Chenxiao & Alharthi, Yahya Z. & Wang, Yubin & Safaraliev, Murodbek, 2025. "A two-layer economic resilience model for distribution network restoration after natural disasters," Applied Energy, Elsevier, vol. 377(PC).
  33. Su, Chutian & Wang, Yi & Strbac, Goran, 2025. "Coordinated electric vehicles dispatch for multi-service provisions: A comprehensive review of modelling and coordination approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 223(C).
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