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Intelligent hurricane resilience enhancement of power distribution systems via deep reinforcement learning

Citations

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Cited by:

  1. Anwar, Ghazanfar Ali & Zhang, Xiaoge, 2024. "Deep reinforcement learning for intelligent risk optimization of buildings under hazard," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
  2. Perera, A.T.D. & Hong, Tianzhen, 2023. "Vulnerability and resilience of urban energy ecosystems to extreme climate events: A systematic review and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
  3. Kapil Deshpande & Philipp Möhl & Alexander Hämmerle & Georg Weichhart & Helmut Zörrer & Andreas Pichler, 2022. "Energy Management Simulation with Multi-Agent Reinforcement Learning: An Approach to Achieve Reliability and Resilience," Energies, MDPI, vol. 15(19), pages 1-35, October.
  4. Wu, Chuantao & Chen, Cen & Ma, Yuncong & Li, Feiyu & Sui, Quan & Lin, Xiangning & Wei, Fanrong & Li, Zhengtian, 2022. "Enhancing resilient restoration of distribution systems utilizing electric vehicles and supporting incentive mechanism," Applied Energy, Elsevier, vol. 322(C).
  5. Shi, Qingxin & Li, Fangxing & Dong, Jin & Olama, Mohammed & Wang, Xiaofei & Winstead, Chris & Kuruganti, Teja, 2022. "Co-optimization of repairs and dynamic network reconfiguration for improved distribution system resilience," Applied Energy, Elsevier, vol. 318(C).
  6. Wu, Yingjun & Feng, Junyu & Chen, Xuejie & Ye, Yujian & Lin, Zhiwei & Yuan, Jiangfan & He, Xueyan & Yin, Zhengxi & Lu, Jiayan, 2026. "Enhancing power grid resilience through weather-aware security constraints: A deep reinforcement learning approach with hybrid CNN-GRU architecture," Applied Energy, Elsevier, vol. 407(C).
  7. Zhang, Guozhou & Hu, Weihao & Zhao, Yincheng & Cui, Zhengjie & Chen, Jianjun & Tang, Chao & Chen, Zhe, 2024. "Meta-learning and proximal policy optimization driven two-stage emergency allocation strategy for multi-energy system against typhoon disasters," Renewable Energy, Elsevier, vol. 237(PC).
  8. Yin, Linfei & He, Xiaoyu, 2023. "Artificial emotional deep Q learning for real-time smart voltage control of cyber-physical social power systems," Energy, Elsevier, vol. 273(C).
  9. Yao, Qi & Tang, Jie & Ke, Yiming & Li, Li & Lu, Xiaoqin & Hu, Yang & Fang, Fang & Liu, Jizhen, 2024. "Anti-tropical cyclone load reduction control of wind turbines based on deep neural network yaw algorithm," Applied Energy, Elsevier, vol. 376(PB).
  10. 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).
  11. 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).
  12. Yin, Zhaoyuan & Fang, Chao & Fang, Yiping & Xie, Min, 2025. "A variational Bayesian deep reinforcement learning approach for resilient post-disruption recovery of distribution grids," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
  13. Cao, Shankang & Wei, Fanrong & Lin, Xiangning & Yuan, Xitao & Huang, Qiyuan & Xiang, Hong, 2025. "Risk prediction based preventive typhoon defending for semi-independent power system," Applied Energy, Elsevier, vol. 377(PC).
  14. Sun, Wei & Wang, Yu & Hao, Yu & Alharthi, Yahya Z. & Wang, Yubin, 2025. "A resilience-oriented optimization framework for smart grid operation and recovery before, during, and after natural disasters," Applied Energy, Elsevier, vol. 398(C).
  15. Liu, Hanchen & Wang, Chong & Ju, Ping & Li, Hongyu, 2022. "A sequentially preventive model enhancing power system resilience against extreme-weather-triggered failures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
  16. Wang, Zhaoqi & Zhang, Lu & Tang, Wei & Chen, Ying & Shen, Chen, 2022. "Equilibrium allocation strategy of multiple ESSs considering the economics and restoration capability in DNs," Applied Energy, Elsevier, vol. 306(PA).
  17. Wang, Jingyao & Li, Yao & Bian, Jiayu & Yu, Zhiyong & Zhang, Min & Wang, Cheng & Bi, Tianshu, 2023. "Multi-stage resilient operation strategy of urban electric–gas system against rainstorms," Applied Energy, Elsevier, vol. 348(C).
  18. Wang, Zekai & Ding, Tao & Jia, Wenhao & Huang, Can & Mu, Chenggang & Qu, Ming & Shahidehpour, Mohammad & Yang, Yongheng & Blaabjerg, Frede & Li, Li & Wang, Kang & Chi, Fangde, 2022. "Multi-stage stochastic programming for resilient integrated electricity and natural gas distribution systems against typhoon natural disaster attacks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
  19. Negi, Gaurav Singh & Mohan, Harshit & Gupta, Mukul K. & Singh, Rajesh & Gehlot, Anita & Thakur, Amit Kumar & Dogra, Sudhanshu & Gupta, Lovi Raj, 2026. "Leveraging machine learning for optimized microgrid management: Advances, applications, challenges, and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PC).
  20. Mansouri, Seyed Amir & Nematbakhsh, Emad & Ahmarinejad, Amir & Jordehi, Ahmad Rezaee & Javadi, Mohammad Sadegh & Marzband, Mousa, 2022. "A hierarchical scheduling framework for resilience enhancement of decentralized renewable-based microgrids considering proactive actions and mobile units," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
  21. Dehghani, Nariman L. & Zamanian, Soroush & Shafieezadeh, Abdollah, 2021. "Adaptive network reliability analysis: Methodology and applications to power grid," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
  22. Li, Xue & Du, Xiaoxue & Jiang, Tao & Zhang, Rufeng & Chen, Houhe, 2022. "Coordinating multi-energy to improve urban integrated energy system resilience against extreme weather events," Applied Energy, Elsevier, vol. 309(C).
  23. Lei, Shunbo & Pozo, David & Wang, Ming-Hao & Li, Qifeng & Li, Yupeng & Peng, Chaoyi, 2022. "Power economic dispatch against extreme weather conditions: The price of resilience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
  24. Zhang, Qianzhi & Wang, Zhaoyu & Ma, Shanshan & Arif, Anmar, 2021. "Stochastic pre-event preparation for enhancing resilience of distribution systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
  25. Zhang, Chi & Shafieezadeh, Abdollah, 2022. "Simulation-free reliability analysis with active learning and Physics-Informed Neural Network," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
  26. Du, Ao & Wang, Xiaowei & Xie, Yazhou & Dong, You, 2023. "Regional seismic risk and resilience assessment: Methodological development, applicability, and future research needs – An earthquake engineering perspective," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
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