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Efficient experience replay based deep deterministic policy gradient for AGC dispatch in integrated energy system

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  1. Li, Qingyang & Li, Zhongwei & Jin, Xianji & Chen, Yongxu & Lei, Qian & Wu, Qianying & Guan, Huaiming, 2025. "Multi-agent deep reinforcement learning based low-carbon Economy energy planning strategy in IES connected with microgrid," Energy, Elsevier, vol. 337(C).
  2. Shen, Rendong & Zhong, Shengyuan & Wen, Xin & An, Qingsong & Zheng, Ruifan & Li, Yang & Zhao, Jun, 2022. "Multi-agent deep reinforcement learning optimization framework for building energy system with renewable energy," Applied Energy, Elsevier, vol. 312(C).
  3. 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).
  4. Ren, Kezheng & Liu, Jun & Liu, Xinglei & Nie, Yongxin, 2023. "Reinforcement Learning-Based Bi-Level strategic bidding model of Gas-fired unit in integrated electricity and natural gas markets preventing market manipulation," Applied Energy, Elsevier, vol. 336(C).
  5. Li, Jiawen & Zhou, Tao, 2023. "Active fault-tolerant coordination energy management for a proton exchange membrane fuel cell using curriculum-based multiagent deep meta-reinforcement learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
  6. Xi, Lei & Shi, Yu & Quan, Yue & Liu, Zhihong, 2024. "Research on the multi-area cooperative control method for novel power systems," Energy, Elsevier, vol. 313(C).
  7. Lu, Xin & Qiu, Jing & Zhang, Cuo & Lei, Gang & Zhu, Jianguo, 2024. "Seizing unconventional arbitrage opportunities in virtual power plants: A profitable and flexible recruitment approach," Applied Energy, Elsevier, vol. 358(C).
  8. Hou, Guolian & Huang, Ting & Zheng, Fumeng & Gong, Linjuan & Huang, Congzhi & Zhang, Jianhua, 2023. "Application of multi-agent EADRC in flexible operation of combined heat and power plant considering carbon emission and economy," Energy, Elsevier, vol. 263(PB).
  9. Zhu, Ziqing & Hu, Ze & Chan, Ka Wing & Bu, Siqi & Zhou, Bin & Xia, Shiwei, 2023. "Reinforcement learning in deregulated energy market: A comprehensive review," Applied Energy, Elsevier, vol. 329(C).
  10. Mazare, Mahmood, 2024. "Adaptive optimal secure wind power generation control for variable speed wind turbine systems via reinforcement learning," Applied Energy, Elsevier, vol. 353(PA).
  11. Fan, Wei & Tan, Qingbo & Zhang, Amin & Ju, Liwei & Wang, Yuwei & Yin, Zhe & Li, Xudong, 2023. "A Bi-level optimization model of integrated energy system considering wind power uncertainty," Renewable Energy, Elsevier, vol. 202(C), pages 973-991.
  12. Li, Jiawen & Yu, Tao & Zhang, Xiaoshun, 2022. "Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning," Applied Energy, Elsevier, vol. 306(PA).
  13. Pengyu Di & Xiaoqing Xiao & Feng Pan & Yuyao Yang & Xiaoshun Zhang, 2023. "Hierarchical power control of a large-scale wind farm by using a data-driven optimization method," PLOS ONE, Public Library of Science, vol. 18(9), pages 1-22, September.
  14. Li, Bin & Wang, Shuai & Li, Botong & Li, Hongbo & Wu, Jianzhong, 2023. "Optimal performance evaluation of thermal AGC units based on multi-dimensional feature analysis," Applied Energy, Elsevier, vol. 339(C).
  15. Li, Jiawen, 2022. "A multi-objective energy coordinative and management policy for solid oxide fuel cell using triune brain large-scale multi-agent deep deterministic policy gradient," Applied Energy, Elsevier, vol. 324(C).
  16. Kumar Jadoun, Vinay & Rahul Prashanth, G & Suhas Joshi, Siddharth & Narayanan, K. & Malik, Hasmat & García Márquez, Fausto Pedro, 2022. "Optimal fuzzy based economic emission dispatch of combined heat and power units using dynamically controlled Whale Optimization Algorithm," Applied Energy, Elsevier, vol. 315(C).
  17. Zhu, Keyan & Zhang, Guangming & Zhu, Chen & Niu, Yuguang & Liu, Jizhen, 2025. "A bi-level optimization strategy for flexible and economic operation of the CHP units based on reinforcement learning and multi-objective MPC," Applied Energy, Elsevier, vol. 391(C).
  18. Li, Jiawen & Zhou, Tao & Keke, He & Yu, Hengwen & Du, Hongwei & Liu, Shuangyu & Cui, Haoyang, 2023. "Distributed quantum multiagent deep meta reinforcement learning for area autonomy energy management of a multiarea microgrid," Applied Energy, Elsevier, vol. 343(C).
  19. Sayed, Aya Nabil & Himeur, Yassine & Varlamis, Iraklis & Bensaali, Faycal, 2025. "Continual learning for energy management systems: A review of methods and applications, and a case study," Applied Energy, Elsevier, vol. 384(C).
  20. Tao, Fazhan & Fu, Zhigao & Gong, Huixian & Ji, Baofeng & Zhou, Yao, 2023. "Twin delayed deep deterministic policy gradient based energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles considering predicted terrain information," Energy, Elsevier, vol. 283(C).
  21. Quan, Yue & Xi, Lei, 2024. "Smart generation system: A decentralized multi-agent control architecture based on improved consensus algorithm for generation command dispatch of sustainable energy systems," Applied Energy, Elsevier, vol. 365(C).
  22. Yin, Linfei & Li, Yu, 2022. "Hybrid multi-agent emotional deep Q network for generation control of multi-area integrated energy systems," Applied Energy, Elsevier, vol. 324(C).
  23. Li, Jiawen & Yu, Tao & Yang, Bo, 2021. "A data-driven output voltage control of solid oxide fuel cell using multi-agent deep reinforcement learning," Applied Energy, Elsevier, vol. 304(C).
  24. Han, Ji & Zhang, Di & Jia, Bohui & Xie, Longjie & Wan, Weijia & Tan, Junyang & Chen, Zhe, 2025. "Power loss minimization-oriented reactive power control for wind farm equipped with distributed energy storages using clustering-based data-driven method," Energy, Elsevier, vol. 328(C).
  25. Sayed, Ahmed & Jaafari, Khaled Al & Eldin, Hatem Zein & Al-Durra, Ahmed & Elsaadany, Ehab, 2025. "Feasibility-guaranteed unsupervised deep learning for real-time energy management in integrated electricity and gas systems," Energy, Elsevier, vol. 316(C).
  26. Pengcheng Ni & Zhiyuan Ye & Can Cao & Zhimin Guo & Jian Zhao & Xing He, 2023. "Cooperative Game-Based Collaborative Optimal Regulation-Assisted Digital Twins for Wide-Area Distributed Energy," Energies, MDPI, vol. 16(6), pages 1-17, March.
  27. Huang, Wenxuan & Yin, Linfei, 2025. "Large-scale model driven real-time economic generation control for integrated energy systems," Applied Energy, Elsevier, vol. 401(PB).
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