These are publications supported by the ONR Grant.
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Hang Shuai, Haibo He, Jinyu Wen, “Post-Storm Vehicle Routing for Distribution Grid Restoration: An OLUCT Based Learning Approach,” in 2020 IEEE PES General Meeting. doi: 10.1109/PESGM41954.2020.9281813
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William Danilczyk, Yan (Lindsay) Sun, Haibo He, “ANGEL: An Intelligent Digital Twin Framework for Microgrid Security,” in 2019 North American Power Symposium (NAPS). doi: 10.1109/NAPS46351.2019.9000371
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Gabriel De Pace, Zhenhua Wang, Joseph Benin, Haibo He, Yan (Lindsay) Sun, “Evaluation of Communication Delay Based Attack Against the Smart Grid,” in KPEC 2020 conference. doi: 10.1109/KPEC47870.2020.9167543
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Fanrong Wei; Zhiqiang Wan; Haibo He; Xiangning Lin; Yuanzheng Li, “A Novel Scheduling Strategy for Controllable Loads With Power-Efficiency Characteristics,” in IEEE Transactions on Smart Grid. doi: 10.1109/TSG.2019.2948370
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Fanrong Wei; Zhiqiang Wan; Haibo He; Xiangning Lin, “Ultrafast Active Response Strategy against Malfunction Attack on Fault Current Limiter,” in IEEE Transactions on Smart Grid. doi: 10.1109/TSG.2019.2960459
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Fanrong Wei; Zhiqiang Wan; Haibo He, “Cyber-Attack Recovery Strategy for Smart Grid Based on Deep Reinforcement Learning,” in IEEE Transactions on Smart Grid. doi: 10.1109/TSG.2019.2956161
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Zhenhua Wang, Haibo He, and Yan (Lindsay) Sun, “Frequency Control of Power Systems Under Time-varying Loads,” in 2019 North American Power Symposium (NAPS). doi: 10.1109/NAPS46351.2019.9000232
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Zhenhua Wang, He Jiang, Haibo He, and Yan (Lindsay) Sun, “Distributed Finite-Time Economic Dispatch for Islanded Microgrids,” in 2020 IEEE PES General Meeting. doi: 10.1109/PESGM41954.2020.9281996
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Zhenhua Wang, Haibo He, Zhiqiang Wan, and Yan (Lindsay) Sun, “Coordinated Topology Attacks in Smart Grid Using Deep Reinforcement Learning,” in IEEE Transactions on Industrial Informatics. doi: 10.1109/TII.2020.2994977
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X. Yang, G. Wang, H. He, J. Lu and Y. Zhang, “Automated Demand Response Framework in ELNs: Decentralized Scheduling and Smart Contract,” in IEEE Transactions on Systems, Man, and Cybernetics: Systems. doi: 10.1109/TSMC.2019.2903485
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X. Yang, H. He, Y. Zhang, Y. Chen and G. Weng, “Interactive Energy Management for Enhancing Power Balances in Multi-Microgrids,” in IEEE Transactions on Smart Grid. doi: 10.1109/TSG.2019.2896182
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X. Yang, H. He, J. Li and Y. Zhang, “Toward Optimal Risk-Averse Configuration for HESS With CGANs-Based PV Scenario Generation,” in IEEE Transactions on Systems, Man, and Cybernetics: Systems. doi: 10.1109/TSMC.2019.2905776
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X. Yang, Y. Wang, H. He, C. Sun, and Y. Zhang, “Deep Reinforcement Learning for Economic Energy Scheduling in Data Center Microgrids,” in IEEE PES GM 2019 conference.
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Z. Wan, H. Li, H. He and D. Prokhorov, “Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning,” in IEEE Transactions on Smart Grid. doi: 10.1109/TSG.2018.2879572
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P. Zeng, H. Li, H. He and S. Li, “Dynamic Energy Management of a Microgrid using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning,” in IEEE Transactions on Smart Grid. doi: 10.1109/TSG.2018.2859821
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X. Yang, Y. Zhang, H. Wu and H. He, “An Event-Driven ADR Approach for Residential Energy Resources in Microgrids With Uncertainties,” in IEEE Transactions on Industrial Electronics. doi: 10.1109/TIE.2018.2868019
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X. Yang, Y. Zhang, H. He, S. Ren and G. Weng, “Real-Time Demand Side Management for a Microgrid Considering Uncertainties,” in IEEE Transactions on Smart Grid. doi: 10.1109/TSG.2018.2825388
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X. Yang, X. Li, H. He, Y. Zhang and Z. Xu, “Dynamic Power Sharing and Autonomous Voltage Regulation in Islanded DC Microgrids,” IEEE Conference on Innovative Smart Grid Technologies (ISGT 2019), Washington, DC, USA, February 17, 2019.
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X. Liu, H. Jiang, Y. Wang and H. He, “A Distributed Iterative Learning Framework for DC Microgrids: Current Sharing and Voltage Regulation,” in IEEE Transactions on Emerging Topics in Computational Intelligence. doi: 10.1109/TETCI.2018.2863747
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X. Liu, H. He, Y. Wang, Q. Xu and F. Guo, “Distributed Hybrid Secondary Control for a DC Microgrid via Discrete-time Interaction,” in IEEE Transactions on Energy Conversion. doi: 10.1109/TEC.2018.2850279