These are publications supported by the ONR Grant.
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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.
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
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