研究论文
A variational Bayesian deep reinforcement learning approach for resilient post-disruption recovery of distribution grids
Zhaoyuan Yin, Chao Fang, Yi‐Ping Fang, Min Xie
City University of Hong Kong Laboratoire Génie Industriel Xi'an Jiaotong University City University of Hong Kong, Shenzhen Research Institute
来源Reliability Engineering & System Safety
年份2025
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学术脉络
学科主题
工程Smart Grid Security and Resilience
Infrastructure Resilience and Vulnerability Analysis · Power System Reliability and Maintenance
参考文献 63
Optimal recovery sequencing for enhanced resilience and service restoration in transportation networks
被引 133Eric D. Vugrin, Mark A. Turnquist, Nathanael J. K. Brown · International Journal of Critical Infrastructures · 2014
Deep Reinforcement Learning with Double Q-Learning
被引 3,522Hado van Hasselt, Arthur Guez, David Silver · Proceedings of the AAAI Conference on Artificial Intelligence · 2016
A Mathematical Framework to Optimize Critical Infrastructure Resilience against Intentional Attacks
被引 130Min Ouyang, Yi‐Ping Fang · Computer-Aided Civil and Infrastructure Engineering · 2017
此处列出前 3 条
引用本文 14
Resilient maritime transportation system from the perspective of FRAM: conceptualization and assessment
被引 11Yulan Zhao, Xiaoxue Ma, Weiliang Qiao · Reliability Engineering & System Safety · 2025
Multi-source-data-driven microgrids reliability analysis via power supply chain using deep learning
被引 10Yulu Zhang, Zhiwei Chen, Xinghui Dong · Reliability Engineering & System Safety · 2025
Pre- and Post-Disaster Resilience Optimization of PV-Dense Grids through Hydrogen-Backed EV Infrastructure under Cyber/Physical and Economic Risks
被引 6Xiaojun Deng, Xudong Pei, Jie Deng · Reliability Engineering & System Safety · 2025
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