Preprints

1. Z. Ma and B. Zhang, “Controlling Grid-Connected Inverters under Time-Varying Voltage Constraints.” 2025.
   • BibTeX

   @misc{ma2024controlling,
     title = {Controlling Grid-Connected Inverters under Time-Varying Voltage Constraints},
     author = {Ma, Zixiao and Zhang, Baosen},
     year = {2025},
     link = {https://arxiv.org/abs/2311.11510}
   }
   

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2. Y. Tang, J. Zhao, and B. Zhang, “Lyapunov Function-based Power System Transient Stability Analysis Considering Inter-Inverter Coupling among Grid Following Inverters.” 2025.
   • BibTeX

   @misc{Tang25,
     author = {Tang, Yingyi and Zhao, Junbo and Zhang, Baosen},
     title = {Lyapunov Function-based Power System Transient Stability Analysis Considering Inter-Inverter Coupling among Grid Following Inverters},
     year = {2025}
   }
   

3. Y. Chen and B. Zhang, “Voltage Regulation in Distribution Systems with Data Center Loads,” ArXiv:2507.06416. 2025.
   • BibTeX

   @misc{chen2025voltageregulationdistributionsystems,
     title = {Voltage Regulation in Distribution Systems with Data Center Loads},
     author = {Chen, Yize and Zhang, Baosen},
     year = {2025},
     journal = {ArXiv:2507.06416},
     link = {https://arxiv.org/abs/2507.06416}
   }
   

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4. W. Cui, Y. Xie, A. Wierman, S. Low, and B. Zhang, “Leveraging Predictions in Power System Voltage Control: An Adaptive Approach.” 2025.
   • BibTeX

   @misc{Cui2025adaptive,
     title = {Leveraging Predictions in Power System Voltage Control: An Adaptive Approach},
     author = {Cui, Wenqi and Xie, Yiheng and Wierman, Adam and Low, Steven and Zhang, Baosen},
     year = {2025},
     link = {https://arxiv.org/abs/2509.09937}
   }
   

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Journals and Conference Proceedings

1. L. Streitmatter, T. Joswig-Jones, and B. Zhang, “Geometry of the Feasible Output Regions of Grid-Interfacing Inverters With Current Limits,” IEEE Control Systems Letters, 2025.
   • BibTeX

   @article{streitmatter2025geometry,
     title = {Geometry of the Feasible Output Regions of Grid-Interfacing Inverters With Current Limits},
     author = {Streitmatter, Lauren and Joswig-Jones, Trager and Zhang, Baosen},
     journal = {IEEE Control Systems Letters},
     year = {2025},
     publisher = {IEEE},
     link = {https://arxiv.org/abs/2503.13788}
   }
   

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2. P. Zhang and B. Zhang, “Optimal Voltage Control Using Online Exponential Barrier Method,” in North American Power Symposium, 2025.
   • BibTeX

   @inproceedings{zhang2025optimalvoltage,
     title = {Optimal Voltage Control Using Online Exponential Barrier Method},
     author = {Zhang, Peng and Zhang, Baosen},
     year = {2025},
     booktitle = {North American Power Symposium},
     link = {https://arxiv.org/abs/2506.10247}
   }
   

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3. J. Li, M. Motoki, and B. Zhang, “Strategic and Fair Aggregator Interactions in Energy Markets: Multi-Agent Dynamics and Quasiconcave Games,” IEEE Transactions on Energy Markets, Policy and Regulation, pp. 340–351, 2025.
   • BibTeX

   @article{Li2025,
     author = {Li, Jiayi and Motoki, Matt and Zhang, Baosen},
     journal = {IEEE Transactions on Energy Markets, Policy and Regulation},
     title = {Strategic and Fair Aggregator Interactions in Energy Markets: Multi-Agent Dynamics and Quasiconcave Games},
     year = {2025},
     pages = {340-351},
     link = {https://ieeexplore.ieee.org/document/11045998}
   }
   

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4. J. Li, J. Wei, M. Motoki, Y. Jiang, and B. Zhang, “Adaptive Pricing for Optimal Coordination in Networked Energy Systems with Nonsmooth Cost Functions,” in IEEE Conference on Decision and Control, 2025.
   • BibTeX

   @inproceedings{li2025adaptivepricingoptimalcoordination,
     title = {Adaptive Pricing for Optimal Coordination in Networked Energy Systems with Nonsmooth Cost Functions},
     author = {Li, Jiayi and Wei, Jiale and Motoki, Matthew and Jiang, Yan and Zhang, Baosen},
     year = {2025},
     booktitle = {IEEE Conference on Decision and Control},
     link = {https://arxiv.org/abs/2504.00641}
   }
   

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5. N. Christianson, W. Cui, S. Low, W. Yang, and B. Zhang, “Fast and Reliable N-k Contingency Screening with Input-Convex Neural Networks,” in Learning for Dynamics & Control Conference, 2025.
   • BibTeX

   @inproceedings{christianson2024fastreliablenkcontingency,
     title = {Fast and Reliable $N-k$ Contingency Screening with Input-Convex Neural Networks},
     author = {Christianson, Nicolas and Cui, Wenqi and Low, Steven and Yang, Weiwei and Zhang, Baosen},
     year = {2025},
     booktitle = {Learning for Dynamics \& Control Conference},
     link = {https://arxiv.org/abs/2410.00796}
   }
   

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6. Y. Jiang, H. Min, and B. Zhang, “Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation,” in Power Systems Computation Conference (PSCC), 2024.
   • BibTeX

   @inproceedings{jiang2024oscillationsaware,
     title = {Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation},
     author = {Jiang, Yan and Min, Hancheng and Zhang, Baosen},
     year = {2024},
     booktitle = {Power Systems Computation Conference (PSCC)},
     link = {https://arxiv.org/abs/2402.16765},
     blog = {2024-4-11-PSCC}
   }
   

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7. J. Stiasny, B. Zhang, and S. Chatzivasileiadis, “PINNSim: A simulator for power system dynamics based on Physics-Informed Neural Networks,” Electric Power Systems Research, vol. 235, p. 110796, 2024.
   • BibTeX

   @article{STIASNY2024110796,
     title = {PINNSim: A simulator for power system dynamics based on Physics-Informed Neural Networks},
     journal = {Electric Power Systems Research},
     volume = {235},
     pages = {110796},
     year = {2024},
     link = {https://www.sciencedirect.com/science/article/pii/S0378779624006825},
     author = {Stiasny, Jochen and Zhang, Baosen and Chatzivasileiadis, Spyros}
   }
   

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8. T. Joswig-Jones and B. Zhang, “Optimal Control of Grid-Interfacing Inverters With Current Magnitude Limits,” in IEEE Conference on Decision and Control, 2024.
   • BibTeX

   @inproceedings{joswig2023optimal,
     title = {Optimal Control of Grid-Interfacing Inverters With Current Magnitude Limits},
     author = {Joswig-Jones, Trager and Zhang, Baosen},
     booktitle = {IEEE Conference on Decision and Control},
     year = {2024},
     link = {https://arxiv.org/abs/2310.00473}
   }
   

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9. T. Joswig-Jones and B. Zhang, “Safe Control of Grid-Interfacing Inverters with Current Magnitude Limits,” in HICSS, 2024.
   • BibTeX

   @inproceedings{joswigjones2024safecontrolgridinterfacinginverters,
     title = {Safe Control of Grid-Interfacing Inverters with Current Magnitude Limits},
     author = {Joswig-Jones, Trager and Zhang, Baosen},
     year = {2024},
     booktitle = {HICSS},
     link = {https://arxiv.org/abs/2409.13890}
   }
   

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10. H. Alduaij, B. Zhang, and Y. Weng, “Determining Feasibility of DC Power Flow Using Graph Neural Networks,” in 2024 IEEE Power & Energy Society General Meeting (PESGM), 2024, pp. 1–5.
    • BibTeX

    @inproceedings{Alduaij24,
      author = {Alduaij, Hamad and Zhang, Baosen and Weng, Yang},
      booktitle = {2024 IEEE Power & Energy Society General Meeting (PESGM)},
      title = {Determining Feasibility of DC Power Flow Using Graph Neural Networks},
      year = {2024},
      pages = {1-5},
      link = {https://ieeexplore.ieee.org/abstract/document/10688632}
    }
    

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11. J. Li, M. Motoki, and B. Zhang, “Balancing Fairness and Efficiency in Energy Resource Allocations,” in IEEE Conference on Decision and Control, 2024.
    • BibTeX

    @inproceedings{li2024balancingfairnessefficiencyenergy,
      title = {Balancing Fairness and Efficiency in Energy Resource Allocations},
      author = {Li, Jiayi and Motoki, Matthew and Zhang, Baosen},
      year = {2024},
      booktitle = {IEEE Conference on Decision and Control},
      link = {https://arxiv.org/abs/2403.15616}
    }
    

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12. Z. Ma and B. Zhang, “Controlling Grid-Connected Inverters under Time-Varying Voltage Constraints,” in IEEE Power and Energy Society General Meeting, 2024.
    • BibTeX

    @inproceedings{ma2023controlling,
      title = {Controlling Grid-Connected Inverters under Time-Varying Voltage Constraints},
      author = {Ma, Zixiao and Zhang, Baosen},
      year = {2024},
      booktitle = {IEEE Power and Energy Society General Meeting},
      link = {https://ieeexplore.ieee.org/abstract/document/10689051}
    }
    

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13. J. Stiasny, B. Zhang, and S. Chatzivasileiadis, “PINNSim: A Simulator for Power System Dynamics based on Physics-Informed Neural Networks,” in Power Systems Computation Conference (PSCC), 2024.
    • BibTeX

    @inproceedings{stiasny2023pinnsim,
      title = {PINNSim: A Simulator for Power System Dynamics based on Physics-Informed Neural Networks},
      author = {Stiasny, Jochen and Zhang, Baosen and Chatzivasileiadis, Spyros},
      year = {2024},
      booktitle = {Power Systems Computation Conference (PSCC)},
      link = {https://arxiv.org/abs/2303.10256},
      blog = {2024-4-11-PSCC}
    }
    

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14. J. Li, M. Motoki, and B. Zhang, “Socially Optimal Energy Usage via Adaptive Pricing,” in Power Systems Computation Conference (PSCC), 2024.
    • BibTeX

    @inproceedings{li2024socially,
      title = {Socially Optimal Energy Usage via Adaptive Pricing},
      author = {Li, Jiayi and Motoki, Matthew and Zhang, Baosen},
      year = {2024},
      booktitle = {Power Systems Computation Conference (PSCC)},
      link = {https://arxiv.org/abs/2310.13254},
      blog = {2024-4-11-PSCC}
    }
    

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15. J. Li, M. Motoki, and B. Zhang, “Socially optimal energy usage via adaptive pricing,” Electric Power Systems Research, vol. 235, p. 110640, 2024.
    • BibTeX

    @article{LI2024110640,
      title = {Socially optimal energy usage via adaptive pricing},
      journal = {Electric Power Systems Research},
      volume = {235},
      pages = {110640},
      year = {2024},
      author = {Li, Jiayi and Motoki, Matthew and Zhang, Baosen},
      link = {https://www.sciencedirect.com/
      science/article/pii/S0378779624005261}
    }
    

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16. Y. Jiang, H. Min, and B. Zhang, “Oscillations-aware frequency security assessment via efficient worst-case frequency nadir computation,” Electric Power Systems Research, vol. 234, p. 110656, 2024.
    • BibTeX

    @article{JIANG2024110656,
      title = {Oscillations-aware frequency security assessment via efficient worst-case frequency nadir computation},
      journal = {Electric Power Systems Research},
      volume = {234},
      pages = {110656},
      year = {2024},
      link = {https://www.sciencedirect.com/science/article/pii/S037877962400542X},
      author = {Jiang, Yan and Min, Hancheng and Zhang, Baosen}
    }
    

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17. A. Ademola-Idowu and B. Zhang, “Optimal Inverter-Based Resources Placement in Low-Inertia Power Systems,” in IEEE Power and Energy Society General Meeting (PESGM), 2023.
    • BibTeX

    @inproceedings{Tinu2023,
      title = {Optimal Inverter-Based Resources Placement in Low-Inertia Power Systems},
      year = {2023},
      author = {{Ademola-Idowu}, A. and {Zhang}, B.},
      booktitle = {IEEE Power and Energy Society General Meeting (PESGM)},
      link = {https://arxiv.org/abs/2210.15839}
    }
    

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18. Y. Jiang, B. Zhang, and J. Cortes, “Equilibria of Fully Decentralized Learning in Networked Systems,” in Proceedings of The 5th Annual Learning for Dynamics and Control Conference, 2023.
    • BibTeX

    @inproceedings{Jiang2023,
      title = {Equilibria of Fully Decentralized Learning in Networked Systems},
      author = {Jiang, Y. and Zhang, B. and Cortes, J.},
      booktitle = {Proceedings of The 5th Annual Learning for Dynamics and Control Conference},
      year = {2023},
      link = {https://proceedings.mlr.press/v211/jiang23a.html}
    }
    

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19. D. Tabas, A. Zamzam, and B. Zhang, “Interpreting Primal-Dual Algorithms for Constrained MARL,” in Proceedings of The 5th Annual Learning for Dynamics and Control Conference, 2023.
    • BibTeX

    @inproceedings{Tabas14dc2023,
      title = {Interpreting Primal-Dual Algorithms for Constrained MARL},
      author = {Tabas, D. and Zamzam, A. and Zhang, B.},
      booktitle = {Proceedings of The 5th Annual Learning for Dynamics and Control Conference},
      year = {2023},
      link = {https://proceedings.mlr.press/v211/tabas23a/tabas23a.pdf}
    }
    

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20. W. Cui, L. Huang, W. Yang, and B. Zhang, “Efficient Reinforcement Learning Through Trajectory Generation,” in Proceedings of The 5th Annual Learning for Dynamics and Control Conference, 2023.
    • BibTeX

    @inproceedings{Cui14dc2023,
      title = {Efficient Reinforcement Learning Through Trajectory Generation},
      author = {Cui, W. and Huang, L. and Yang, W. and Zhang, B.},
      booktitle = {Proceedings of The 5th Annual Learning for Dynamics and Control Conference},
      year = {2023},
      link = {https://proceedings.mlr.press/v211/cui23a/cui23a.pdf}
    }
    

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21. S. Deng, L. Chen, B. Zhang, W. Yuan, and S. Mei, “Distributed Secondary Optimal Control For Self-Maintaining Microgrids on Pelagic Islands,” IET Renewable Power Generation, 2023.
    • BibTeX

    @article{Deng2022,
      title = {Distributed Secondary Optimal Control For Self-Maintaining Microgrids on Pelagic Islands},
      author = {Deng, S. and Chen, L. and Zhang, B. and Yuan, W. and Mei, S.},
      journal = {IET Renewable Power Generation},
      year = {2023},
      link = {https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/rpg2.12751}
    }
    

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22. W. Cui, Y. Jiang, B. Zhang, and Y. Shi, “Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees,” in Advances in Neural Information Processing Systems, 2023, vol. 36, pp. 68434–68457.
    • BibTeX

    @inproceedings{cui2022structured,
      author = {Cui, Wenqi and Jiang, Yan and Zhang, Baosen and Shi, Yuanyuan},
      booktitle = {Advances in Neural Information Processing Systems},
      pages = {68434--68457},
      title = {Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees},
      volume = {36},
      year = {2023}
    }
    

23. W. Cui, W. Yang, and B. Zhang, “Predicting Power System Dynamics and Transients: A Frequency Domain Approach,” IEEE Transaction on Power Systems, 2023.
    • BibTeX

    @article{cui2021predicting,
      title = {Predicting Power System Dynamics and Transients: A Frequency Domain Approach},
      author = {Cui, Wenqi and Yang, Weiwei and Zhang, Baosen},
      journal = {IEEE Transaction on Power Systems},
      year = {2023},
      link = {https://arxiv.org/abs/2111.01103}
    }
    

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24. W. Cui, Y. Jiang, and B. Zhang, “Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach,” IEEE Transaction on Power Systems, vol. 38, no. 2, pp. 1676–1688, 2023.
    • BibTeX

    @article{Cui2021a,
      title = {Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach},
      author = {Cui, Wenqi and Jiang, Yan and Zhang, Baosen},
      year = {2023},
      volume = {38},
      number = {2},
      pages = {1676-1688},
      journal = {IEEE Transaction on Power Systems},
      link = {https://arxiv.org/abs/2009.05654}
    }
    

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25. L. Zhang and B. Zhang, “An Iterative Approach to Improving Solution Quality for AC Optimal Power Flow Problems,” in ACM E-Energy, 2022.
    • BibTeX

    @inproceedings{Zhang2022Eenergy,
      author = {Zhang, Ling and Zhang, Baosen},
      title = {An Iterative Approach to Improving Solution Quality for AC Optimal Power Flow Problems},
      year = {2022},
      booktitle = {{ACM E-Energy}},
      link = {https://arxiv.org/abs/2109.06356}
    }
    

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26. S. Taheri, V. Kekatos, H. Veeramachaneni, and B. Zhang, “Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models,” IEEE Transaction on Smartgrid, vol. 13, pp. 4572–4582, 2022.
    • BibTeX

    @article{taheri2022datadriven,
      title = {Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models},
      author = {Taheri, Sina and Kekatos, Vassilis and Veeramachaneni, Harsha and Zhang, Baosen},
      year = {2022},
      journal = {IEEE Transaction on Smartgrid},
      volume = {13},
      pages = {4572-4582},
      link = {https://arxiv.org/abs/2201.11952}
    }
    

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27. D. Tabas and B. Zhang, “Computationally Efficient Safe Reinforcement Learning for Power Systems,” in American Control Conference (ACC), 2022.
    • BibTeX

    @inproceedings{Tabas2022,
      title = {Computationally Efficient Safe Reinforcement Learning for Power Systems},
      author = {Tabas, Daniel and Zhang, Baosen},
      booktitle = {American Control Conference (ACC)},
      year = {2022},
      link = {https://arxiv.org/abs/2110.10333}
    }
    

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28. H. Li, Y. Qiao, Z. Lu, and B. Zhang, “Power System Transition with Multiple Flexibility Resources: A Data-Driven Approach,” Sustainability, vol. 14, no. 5, 2022.
    • BibTeX

    @article{su14052656,
      author = {Li, Hao and Qiao, Ying and Lu, Zongxiang and Zhang, Baosen},
      title = {Power System Transition with Multiple Flexibility Resources: A Data-Driven Approach},
      journal = {Sustainability},
      volume = {14},
      year = {2022},
      number = {5},
      link = {https://www.mdpi.com/2071-1050/14/5/2656}
    }
    

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29. Y. Jiang, W. Cui, B. Zhang, and J. Cortés, “Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach,” IEEE Open Journal of Control Systems, vol. 1, pp. 194–209, 2022.
    • BibTeX

    @article{jiang2022stable,
      title = {Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach},
      author = {Jiang, Yan and Cui, Wenqi and Zhang, Baosen and Cort{\'e}s, Jorge},
      journal = {IEEE Open Journal of Control Systems},
      year = {2022},
      volume = {1},
      pages = {194-209},
      link = {https://arxiv.org/abs/2205.00411}
    }
    

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30. W. Cui and B. Zhang, “Equilibrium-Independent Stability Analysis for Distribution Systems with Lossy Transmission Lines,” IEEE Control Systems Letters, vol. 6, pp. 3349–3354, 2022.
    • BibTeX

    @article{cui2022equilibrium,
      title = {Equilibrium-Independent Stability Analysis for Distribution Systems with Lossy Transmission Lines},
      author = {Cui, Wenqi and Zhang, Baosen},
      journal = {IEEE Control Systems Letters},
      year = {2022},
      volume = {6},
      pages = {3349-3354},
      link = {https://arxiv.org/abs/2203.04580}
    }
    

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31. W. Cui and B. Zhang, “Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability,” IEEE Control Systems Letters, vol. 6, pp. 974–979, 2022.
    • BibTeX

    @article{Cui2021b,
      title = {Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability},
      author = {Cui, Wenqi and Zhang, Baosen},
      year = {2022},
      volume = {6},
      pages = {974-979},
      journal = {IEEE Control Systems Letters},
      link = {https://arxiv.org/abs/2103.03869}
    }
    

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32. Y. Chen, L. Zhang, and B. Zhang, “Learning to Solve DCOPF: A Duality Approach,” Electric Power Systems Research, vol. 213, p. 108595, 2022.
    • BibTeX

    @article{Chen2022PSCC,
      author = {Chen, Yize and Zhang, Ling and Zhang, Baosen},
      title = {Learning to Solve {DCOPF}: A Duality Approach},
      journal = {Electric Power Systems Research},
      volume = {213},
      pages = {108595},
      year = {2022},
      link = {https://pscc.epfl.ch/rms/modules/request.php?module=oc_program&action=summary.php&id=2107}
    }
    

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33. W. Cui, J. Li, and B. Zhang, “Decentralized Safe Reinforcement Learning for Inverter-Based Voltage Control,” Electric Power Systems Research, vol. 211, p. 108609, 2022.
    • BibTeX

    @article{Cui2022PSCC,
      author = {Cui, Wenqi and Li, Jiayi and Zhang, Baosen},
      title = {Decentralized Safe Reinforcement Learning for Inverter-Based Voltage Control},
      journal = {Electric Power Systems Research},
      volume = {211},
      pages = {108609},
      year = {2022},
      link = {https://pscc.epfl.ch/rms/modules/request.php?module=oc_program&action=summary.php&id=1877}
    }
    

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34. K. Guddanti, Y. Weng, and B. Zhang, “A Matrix-Inversion-Free Fixed-Point Method for Distributed Power Flow Analysis,” IEEE Transactions on Power Systems, vol. 37, no. 1, pp. 653–665, 2022.
    • BibTeX

    @article{Kishan21,
      author = {Guddanti, K. and Weng, Y. and Zhang, B.},
      journal = {IEEE Transactions on Power Systems},
      year = {2022},
      volume = {37},
      number = {1},
      pages = {653-665},
      title = {A Matrix-Inversion-Free Fixed-Point Method for Distributed Power Flow Analysis},
      link = {https://ieeexplore.ieee.org/abstract/document/9492760}
    }
    

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35. Y. Chen and B. Zhang, “State-of-Charge Aware EV Charging,” in Power and Energy Society General Meeting, 2022.
    • BibTeX

    @inproceedings{Chen2022PESGM,
      author = {Chen, Yize and Zhang, Baosen},
      title = {State-of-Charge Aware {EV} Charging},
      year = {2022},
      booktitle = {Power and Energy Society General Meeting},
      link = {https://arxiv.org/abs/2111.15147}
    }
    

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36. W. Cui, J. Li, and B. Zhang, “Decentralized Safe Reinforcement Learning for Voltage Control,” in Power Systems Computation Conference (PSCC), 2022.
    • BibTeX

    @inproceedings{Cui22,
      title = {Decentralized Safe Reinforcement Learning for Voltage Control},
      author = {Cui, W. and Li, J. and Zhang, B.},
      link = {https://arxiv.org/abs/2110.01126},
      year = {2022},
      booktitle = {Power Systems Computation Conference (PSCC)}
    }
    

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37. L. Zhang, Y. Chen, and B. Zhang, “A Convex Neural Network Solver for DCOPF with Generalization Guarantees,” IEEE Transactions on Control of Networked Systems, vol. 9, no. 2, pp. 719–730, 2022.
    • BibTeX

    @article{zhang2020convex,
      title = {A Convex Neural Network Solver for {DCOPF} with Generalization Guarantees},
      author = {Zhang, Ling and Chen, Yize and Zhang, Baosen},
      year = {2022},
      volume = {9},
      number = {2},
      pages = {719-730},
      journal = {IEEE Transactions on Control of Networked Systems},
      link = {https://arxiv.org/abs/2009.09109}
    }
    

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38. Y. Chen, L. Zhang, and B. Zhang, “Learning to Solve DCOPF: A Duality Approach,” in Power Systems Computation Conference (PSCC), 2022.
    • BibTeX

    @inproceedings{Chen22,
      title = {Learning to Solve DCOPF: A Duality Approach},
      author = {Chen, Yize and Zhang, Ling and Zhang, Baosen},
      link = {https://arxiv.org/abs/2002.04091},
      year = {2022},
      booktitle = {Power Systems Computation Conference (PSCC)}
    }
    

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39. W. Cui, W. Yang, and B. Zhang, “Power System Dynamic Simulation Using Fourier Neural Operators,” in NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning, 2021.
    • BibTeX

    @inproceedings{cui2021power,
      title = {Power System Dynamic Simulation Using Fourier Neural Operators},
      author = {Cui, Wenqi and Yang, Weiwei and Zhang, Baosen},
      booktitle = {NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning},
      year = {2021}
    }
    

40. W. Cui, J. Li, and B. Zhang, “Safe Learning for Voltage Control,” in NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning, 2021.
    • BibTeX

    @inproceedings{cui2021safe,
      title = {Safe Learning for Voltage Control},
      author = {Cui, Wenqi and Li, Jiayi and Zhang, Baosen},
      booktitle = {NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning},
      year = {2021}
    }
    

41. Y. Chen, Y. Tan, L. Zhang, and B. Zhang, “Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks,” in IEEE Smartgrid Comm, 2021.
    • BibTeX

    @inproceedings{Chen21,
      title = {Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks},
      author = {Chen, Yize and Tan, Yushi and Zhang, Ling and Zhang, Baosen},
      booktitle = {IEEE Smartgrid Comm},
      year = {2021},
      link = {https://ieeexplore.ieee.org/document/9631987}
    }
    

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42. H. Li, Y. Qiao, B. Zhang, Z. Lu, and L. Dong, “A two-step tie-line scheduling method considering variable renewable energy variations,” International Transactions on Electrical Energy Systems, vol. 31, no. 11, p. e13077, 2021.
    • BibTeX

    @article{LiHao21,
      author = {Li, Hao and Qiao, Ying and Zhang, Baosen and Lu, Zongxiang and Dong, Ling},
      title = {A two-step tie-line scheduling method considering variable renewable energy variations},
      journal = {International Transactions on Electrical Energy Systems},
      link = {https://onlinelibrary.wiley.com/doi/abs/10.1002/2050-7038.13077},
      volume = {31},
      number = {11},
      pages = {e13077},
      year = {2021}
    }
    

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43. A. Ademola-Idowu and B. Zhang, “MPC-Based Multi-Inverter Power Control in Low-Inertia Power Systems,” in Power and Energy Society General Meeting, 2021.
    • BibTeX

    @inproceedings{Tinu21b,
      author = {{Ademola-Idowu}, A. and {Zhang}, B.},
      title = {{MPC}-Based Multi-Inverter Power Control in Low-Inertia Power Systems},
      year = {2021},
      booktitle = {Power and Energy Society General Meeting},
      link = {https://ieeexplore.ieee.org/document/9638080}
    }
    

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44. B. Zhang and E. Nasr, “Distributed Redundant Integration of Data Center Battery Storage with the Grid for Regulation Services,” in Power and Energy Society General Meeting, 2021.
    • BibTeX

    @inproceedings{Zhang21b,
      author = {Zhang, Baosen and Nasr, Ehsan},
      title = {Distributed Redundant Integration of Data Center Battery Storage with the Grid for Regulation Services},
      year = {2021},
      booktitle = {Power and Energy Society General Meeting},
      link = {https://ieeexplore.ieee.org/document/9638219}
    }
    

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45. H. Li, Y. Qiao, Z. Lu, B. Zhang, and F. Teng, “Frequency Constrained Stochastic Planning Towards a High Renewable Target Considering Frequency Response Support from Wind Power,” IEEE Transactions on Power Systems, vol. 36, no. 5, pp. 4632–4644, 2021.
    • BibTeX

    @article{Li21a,
      title = {Frequency Constrained Stochastic Planning Towards a High Renewable Target Considering Frequency Response Support from Wind Power},
      author = {Li, Hao and Qiao, Ying and Lu, Zongxiang and Zhang, Baosen and Teng, Fei},
      year = {2021},
      volume = {36},
      number = {5},
      pages = {4632-4644},
      journal = {IEEE Transactions on Power Systems},
      link = {https://ieeexplore.ieee.org/document/9381691}
    }
    

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46. L. Zheng, Y. Shi, L. Ratliff, and B. Zhang, “Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks,” in Learning for Dynamics & Control Conference, 2021.
    • BibTeX

    @inproceedings{Zheng21,
      title = {Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks},
      author = {Zheng, Liyuan and Shi, Yuanyuan and Ratliff, Lillian and Zhang, Baosen},
      year = {2021},
      booktitle = {Learning for Dynamics \& Control Conference},
      link = {https://arxiv.org/abs/2003.09488}
    }
    

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47. A. Ademola-Idowu and B. Zhang, “Frequency Stability Using MPC-Based Inverter Power Control in Low-Inertia Power Systems,” IEEE Transactions on Power Systems, vol. 36, no. 2, pp. 1628–1637, 2021.
    • BibTeX

    @article{Tinu21,
      author = {{Ademola-Idowu}, A. and {Zhang}, B.},
      journal = {IEEE Transactions on Power Systems},
      title = {Frequency Stability Using MPC-Based Inverter Power Control in Low-Inertia Power Systems},
      year = {2021},
      volume = {36},
      number = {2},
      pages = {1628-1637},
      link = {https://ieeexplore.ieee.org/document/9179017}
    }
    

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48. H. Li, Z. Lu, Y. Qiao, B. Zhang, and Y. Lin, “The Flexibility Test System for Studies of Variable Renewable Energy Resources,” IEEE Transactions on Power Systems, vol. 36, no. 2, pp. 1526–1536, 2021.
    • BibTeX

    @article{Li21,
      author = {{Li}, H. and {Lu}, Z. and {Qiao}, Y. and {Zhang}, B. and {Lin}, Y.},
      journal = {IEEE Transactions on Power Systems},
      title = {The Flexibility Test System for Studies of Variable Renewable Energy Resources},
      year = {2021},
      volume = {36},
      number = {2},
      pages = {1526-1536},
      link = {https://ieeexplore.ieee.org/document/9179018}
    }
    

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49. N. Costilla-Enriquez, Y. Weng, and B. Zhang, “Combining Newton-Raphson and Stochastic Gradient Descent for Power Flow Analysis,” IEEE Transactions on Power Systems, vol. 36, no. 1, pp. 514–517, 2021.
    • BibTeX

    @article{CE21,
      author = {{Costilla-Enriquez}, N. and {Weng}, Y. and {Zhang}, B.},
      journal = {IEEE Transactions on Power Systems},
      title = {Combining Newton-Raphson and Stochastic Gradient Descent for Power Flow Analysis},
      year = {2021},
      volume = {36},
      number = {1},
      pages = {514-517},
      link = {https://ieeexplore.ieee.org/document/9216079}
    }
    

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50. W. Cui and B. Zhang, “Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach,” in ICML 2021 Workshop on Tackling Climate Change with Machine Learning, 2021.
    • BibTeX

    @inproceedings{Cui2021c,
      title = {Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach},
      author = {Cui, W. and Zhang, B.},
      year = {2021},
      booktitle = {ICML 2021 Workshop on Tackling Climate Change with Machine Learning}
    }
    

51. D. Tabas and B. Zhang, “A Set-Theoretic Approach to Safe Reinforcement Learning in Power Systems,” in ICML 2021 Workshop on Tackling Climate Change with Machine Learning, 2021.
    • BibTeX

    @inproceedings{Tabas2021c,
      title = {A Set-Theoretic Approach to Safe Reinforcement Learning in Power Systems},
      author = {Tabas, D. and Zhang, B.},
      year = {2021},
      booktitle = {ICML 2021 Workshop on Tackling Climate Change with Machine Learning}
    }
    

52. L. Zhang and B. Zhang, “An Iterative Approach to Finding Global Solutions of AC Optimal Power Flow Problems,” in ICML 2021 Workshop on Tackling Climate Change with Machine Learning, 2021.
    • BibTeX

    @inproceedings{Ling2021c,
      title = {An Iterative Approach to Finding Global Solutions of AC Optimal Power Flow Problems},
      author = {Zhang, L. and Zhang, B.},
      year = {2021},
      booktitle = {ICML 2021 Workshop on Tackling Climate Change with Machine Learning}
    }
    

53. S. Sekar, L. Zheng, L. J. Ratliff, and B. Zhang, “Uncertainty in Multicommodity Routing Networks: When Does It Help?,” IEEE Transactions on Automatic Control, vol. 65, no. 11, pp. 4600–4615, 2020.
    • BibTeX

    @article{SekarEtAl2017,
      author = {Sekar, Shreyas and Zheng, Liyuan and Ratliff, Lillian J. and Zhang, Baosen},
      journal = {IEEE Transactions on Automatic Control},
      title = {Uncertainty in Multicommodity Routing Networks: When Does It Help?},
      year = {2020},
      volume = {65},
      number = {11},
      pages = {4600-4615},
      link = {https://arxiv.org/abs/1709.08441}
    }
    

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54. C. P. Dowling and B. Zhang, “ Transfer Learning for HVAC System Fault Detection,” in American Control Conference (ACC), 2020.
    • BibTeX

    @inproceedings{dowling2020,
      title = { Transfer Learning for HVAC System Fault Detection},
      author = {Dowling, Chase P and Zhang, Baosen},
      booktitle = {American Control Conference (ACC)},
      year = {2020},
      link = {https://ieeexplore.ieee.org/document/9147772}
    }
    

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55. P. Li, S. Sekar, and B. Zhang, “A Capacity-Price Game for Uncertain Renewables Resources,” IEEE Transactions on Sustainable Computing, 2020.
    • BibTeX

    @article{Li19,
      author = {Li, Pan and Sekar, S. and Zhang, B.},
      title = {A Capacity-Price Game for Uncertain Renewables Resources},
      year = {2020},
      journal = {IEEE Transactions on Sustainable Computing},
      link = {https://arxiv.org/abs/1804.06496}
    }
    

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56. L. Zhang and B. Zhang, “Scenario Forecasting of Residential Load Profiles,” IEEE Journal on Selected Areas in Communications, Special Issue on Communications and Data Analytics in Smart Grid, vol. 38, no. 1, pp. 84–95, 2020.
    • BibTeX

    @article{zhang2019scenario,
      title = {Scenario Forecasting of Residential Load Profiles},
      author = {Zhang, Ling and Zhang, Baosen},
      year = {2020},
      volume = {38},
      number = {1},
      pages = {84-95},
      link = {https://arxiv.org/abs/1906.07373},
      journal = {IEEE Journal on Selected Areas in Communications, Special Issue on Communications and Data Analytics in Smart Grid}
    }
    

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57. Y. Cheng, N. Zhang, B. Zhang, C. Kang, W. Xi, and M. Feng, “Low-Carbon Operation of Multiple Energy Systems Based on Energy-Carbon Integrated Prices,” IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1307–1318, 2020.
    • BibTeX

    @article{8804208,
      author = {Cheng, Y. and Zhang, N. and Zhang, B. and Kang, C. and Xi, W. and Feng, M.},
      journal = {IEEE Transactions on Smart Grid},
      title = {Low-Carbon Operation of Multiple Energy Systems Based on Energy-Carbon Integrated Prices},
      year = {2020},
      volume = {11},
      number = {2},
      pages = {1307-1318},
      link = {https://ieeexplore.ieee.org/document/8804208}
    }
    

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58. Y. Yang, Z. Yang, J. Yu, and B. Zhang, “Fast Calculation of Probabilistic Power Flow: A Model-Based Deep Learning Approach,” IEEE Transactions on Smart Grid, vol. 11, no. 3, pp. 2235–2244, 2020.
    • BibTeX

    @article{yang2019fast,
      author = {Yang, Yan and Yang, Zhifang and Yu, Juan and Zhang, Baosen},
      journal = {IEEE Transactions on Smart Grid},
      title = {Fast Calculation of Probabilistic Power Flow: A Model-Based Deep Learning Approach},
      year = {2020},
      volume = {11},
      number = {3},
      pages = {2235-2244},
      link = {https://arxiv.org/abs/1906.06017}
    }
    

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59. J. E. Contreras-Ocaña, Y. Chen, U. Siddiqi, and B. Zhang, “Non-Wire Alternatives: An Additional Value Stream for Distributed Energy Resources,” IEEE Transactions on Sustainable Energy, vol. 11, no. 3, pp. 1287–1299, 2020.
    • BibTeX

    @article{CO18c,
      author = {Contreras-Ocaña, Jesus E. and Chen, Yize and Siddiqi, Uzma and Zhang, Baosen},
      journal = {IEEE Transactions on Sustainable Energy},
      title = {Non-Wire Alternatives: An Additional Value Stream for Distributed Energy Resources},
      year = {2020},
      volume = {11},
      number = {3},
      pages = {1287-1299}
    }
    

60. Y. Shi and B. Zhang, “Multi-Agent Reinforcement Learning in Cournot Games,” in 2020 59th IEEE Conference on Decision and Control (CDC), 2020, pp. 3561–3566.
    • BibTeX

    @inproceedings{Shi2020multi,
      author = {Shi, Yuanyuan and Zhang, Baosen},
      booktitle = {2020 59th IEEE Conference on Decision and Control (CDC)},
      title = {Multi-Agent Reinforcement Learning in Cournot Games},
      year = {2020},
      pages = {3561-3566},
      link = {https://ieeexplore.ieee.org/document/9304089}
    }
    

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61. Y. Chen and B. Zhang, “Learning to Solve Network Flow Problems via Neural Decoding,” Electric Power Systems Research, 2020.
    • BibTeX

    @article{chen2020learning,
      title = {Learning to Solve Network Flow Problems via Neural Decoding},
      author = {Chen, Yize and Zhang, Baosen},
      year = {2020},
      journal = {Electric Power Systems Research},
      link = {https://arxiv.org/abs/2002.04091},
      keywords = {selected}
    }
    

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62. Y. Chen, Y. Shi, and B. Zhang, “Data-Driven Optimal Voltage Regulation Using Input Convex Neural Networks,” Electric Power Systems Research, vol. 189, 2020.
    • BibTeX

    @article{chen2020input,
      title = {Data-Driven Optimal Voltage Regulation Using Input Convex Neural Networks},
      journal = {Electric Power Systems Research},
      volume = {189},
      year = {2020},
      author = {Chen, Yize and Shi, Yuanyuan and Zhang, Baosen},
      link = {https://www.sciencedirect.com/science/article/abs/pii/S0378779620305447}
    }
    

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63. Y. Weng, R. Rajagopal, and B. Zhang, “A Geometric Analysis of Power System Loadability Regions,” IEEE Transactions on Smart Grid, vol. 11, no. 4, pp. 3580–3592, 2020.
    • BibTeX

    @article{Weng18,
      author = {Weng, Y. and Rajagopal, R. and Zhang, B.},
      journal = {IEEE Transactions on Smart Grid},
      title = {A Geometric Analysis of Power System Loadability Regions},
      year = {2020},
      volume = {11},
      number = {4},
      pages = {3580-3592},
      arxiv = {yes},
      link = {https://arxiv.org/abs/1706.07401}
    }
    

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64. Q. He, Y. Yang, and B. Zhang, “Smart Energy Storage Management via Information Systems Design,” Energy Economics, vol. 85, p. 104542, 2020.
    • BibTeX

    @article{HeEtAl2017,
      author = {He, Q. and Yang, Y. and Zhang, Baosen},
      title = {Smart Energy Storage Management via Information Systems Design},
      journal = {Energy Economics},
      year = {2020},
      volume = {85},
      pages = {104542},
      link = {https://arxiv.org/abs/1702.07615},
      arxiv = {yes}
    }
    

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65. P. Li, B. Jin, R. Xiong, D. Wang, A. L. Sangiovanni-Vincentelli, and B. Zhang, “A tractable ellipsoidal approximation for voltage regulation problems,” in American Control Conference (ACC), 2019, pp. 1301–1306.
    • BibTeX

    @inproceedings{Li19b,
      author = {Li, Pan and Jin, Baihong and Xiong, Ruoxuan and Wang, Dai and Sangiovanni-Vincentelli, Alberto L. and Zhang, Baosen},
      title = {A tractable ellipsoidal approximation for voltage regulation problems},
      year = {2019},
      pages = {1301-1306},
      booktitle = {American Control Conference (ACC)},
      link = {https://ieeexplore.ieee.org/document/8814798}
    }
    

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66. A. Jaech, B. Zhang, M. Ostendorf, and D. S. Kirschen, “Real-Time Prediction of the Duration of Distribution System Outages,” IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 773–781, 2019.
    • BibTeX

    @article{Jaech18,
      title = {Real-Time Prediction of the Duration of Distribution System Outages},
      author = {Jaech, Aaron and Zhang, Baosen and Ostendorf, Mari and Kirschen, Daniel S},
      journal = {IEEE Transactions on Power Systems},
      link = {https://arxiv.org/abs/1804.01189},
      year = {2019},
      volume = {34},
      number = {1},
      pages = {773-781}
    }
    

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67. Y. Chen, Y. Tan, and B. Zhang, “Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks,” in Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019, pp. 1–11.
    • BibTeX

    @inproceedings{Chen19,
      author = {Chen, Yize and Tan, Yushi and Zhang, Baosen},
      title = {Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks},
      booktitle = {Proceedings of the Tenth ACM International Conference on Future Energy Systems},
      year = {2019},
      location = {Phoenix, AZ, USA},
      pages = {1--11},
      numpages = {11},
      link = {https://dl.acm.org/doi/10.1145/3307772.3328314}
    }
    

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68. Y. Shi, B. Xu, Y. Tan, and B. Zhang, “Optimal Battery Control Under Cycle Aging Mechanisms,” IEEE Transactions on Automatic Control, vol. 64, no. 6, pp. 2324–2339, 2019.
    • BibTeX

    @article{Shi17c,
      author = {Shi, Y. and Xu, B. and Tan, Y. and Zhang, B.},
      title = {Optimal Battery Control Under Cycle Aging Mechanisms},
      journal = {IEEE Transactions on Automatic Control},
      year = {2019},
      volume = {64},
      number = {6},
      pages = {2324-2339},
      link = {https://arxiv.org/abs/1709.05715},
      blog = {2017-09-15}
    }
    

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69. P. Li, H. Wang, and B. Zhang, “A Distributed Online Pricing Strategy for Demand Response Programs,” IEEE Transactions on Smartgrid, vol. 10, no. 1, pp. 350–360, 2019.
    • BibTeX

    @article{Li17,
      author = {Li, P. and Wang, H. and Zhang, B.},
      title = {A Distributed Online Pricing Strategy for Demand Response Programs},
      journal = {IEEE Transactions on Smartgrid},
      year = {2019},
      volume = {10},
      number = {1},
      pages = {350-360},
      link = {http://ieeexplore.ieee.org/document/8008826/},
      blog = {2017-08-11}
    }
    

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70. B. Zhang, R. Johari, and R. Rajagopal, “Cournot Games with Uncertainty: Coalitions, Competition, and Efficiency,” IEEE Transaction on Control of Networked Systems, vol. 6, no. 2, pp. 884–896, 2019.
    • BibTeX

    @article{ZhangEtAl2017b,
      author = {Zhang, Baosen and Johari, Ramesh and Rajagopal, Ram},
      title = {Cournot Games with Uncertainty: Coalitions, Competition, and Efficiency},
      journal = {IEEE Transaction on Control of Networked Systems},
      year = {2019},
      volume = {6},
      number = {2},
      pages = {884-896},
      link = {http://arxiv.org/abs/1503.02479},
      arxiv = {yes}
    }
    

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71. C. P. Dowling and B. Zhang, “Mitigation of Coincident Peak Charges via Approximate Dynamic Programming,” in IEEE Conf. Decision and Control (CDC), 2019, pp. 4202–4207.
    • BibTeX

    @inproceedings{dowling2019mitigation,
      title = {Mitigation of Coincident Peak Charges via Approximate Dynamic Programming},
      author = {Dowling, Chase P and Zhang, Baosen},
      link = {https://arxiv.org/abs/1908.00685},
      booktitle = {IEEE Conf. Decision and Control (CDC)},
      year = {2019},
      pages = {4202-4207}
    }
    

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72. J. E. Contreras-Ocaña, M. A. Ortega-Vazquez, and B. Zhang, “Participation of an Energy Storage Aggregator in Electricity Markets,” IEEE Transactions on Smargrid, vol. 10, no. 2, pp. 1171–1183, 2019.
    • BibTeX

    @article{Contreras-OcanaEtAl2017,
      author = {Contreras-Oca{\~n}a, Jesus E and Ortega-Vazquez, Miguel A and Zhang, Baosen},
      title = {Participation of an Energy Storage Aggregator in Electricity Markets},
      journal = {IEEE Transactions on Smargrid},
      year = {2019},
      volume = {10},
      number = {2},
      pages = {1171-1183},
      link = {http://arxiv.org/abs/1511.02201},
      blog = {2017-08-11}
    }
    

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73. Y. Chen, Y. Shi, and B. Zhang, “Optimal Control Via Neural Networks: A Convex Approach,” in International Conference on Learning Representations (ICLR), 2019.
    • BibTeX

    @inproceedings{Chen18convex,
      author = {Chen, Y. and Shi, Y. and Zhang, B.},
      title = {Optimal Control Via Neural Networks: A Convex Approach},
      year = {2019},
      booktitle = {International Conference on Learning Representations (ICLR)},
      link = {https://arxiv.org/abs/1805.11835},
      keywords = {selected}
    }
    

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74. C. Tang, J. Xu, Y. Tan, Y. Sun, and B. Zhang, “Lagrangian Relaxation with Incremental Proximal Method for Economic Dispatch with Large Numbers of Wind Power Scenarios,” IEEE Transactions on Power Systems, vol. 34, no. 4, pp. 2685–2695, 2019.
    • BibTeX

    @article{Tang19,
      author = {Tang, C. and Xu, J. and Tan, Y. and Sun, Y. and Zhang, B.},
      year = {2019},
      volume = {34},
      number = {4},
      pages = {2685-2695},
      title = {Lagrangian Relaxation with Incremental Proximal Method for Economic Dispatch with Large Numbers of Wind Power Scenarios},
      journal = {IEEE Transactions on Power Systems},
      link = {https://ieeexplore.ieee.org/document/8603748}
    }
    

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75. P. Li, B. Jin, D. Wang, and B. Zhang, “Distribution System Voltage Control under Uncertainties using Tractable Chance Constraints,” IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 5208–5216, 2019.
    • BibTeX

    @article{Li18,
      author = {Li, Pan and Jin, Baihong and Wang, Dai and Zhang, Baosen},
      title = {Distribution System Voltage Control under Uncertainties using Tractable Chance Constraints},
      journal = {IEEE Transactions on Power Systems},
      year = {2019},
      volume = {34},
      number = {6},
      pages = {5208-5216},
      link = {https://arxiv.org/abs/1704.08999}
    }
    

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76. Y. Chen, Y. Wang, D. Kirschen, and B. Zhang, “Model-Free Renewables Scenario Generation Using Generative Adversarial Networks,” IEEE Transaction on Power Systems, vol. 33, no. 3, pp. 3265–3275, 2018.
    • BibTeX

    @article{Chen17,
      author = {Chen, Y. and Wang, Y. and Kirschen, D. and Zhang, B.},
      year = {2018},
      title = {Model-Free Renewables Scenario Generation Using Generative Adversarial Networks},
      journal = {IEEE Transaction on Power Systems},
      volume = {33},
      number = {3},
      pages = {3265-3275},
      link = {https://arxiv.org/abs/1707.09676},
      blog = {2017-09-01}
    }
    

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77. Y. Weng, A. Kumar, M. Saleem, and B. Zhang, “Big Data and Deep Learning Platform for Terabyte-Scale Renewable Datasets,” in Power Systems Computation Conference (PSCC), 2018.
    • BibTeX

    @inproceedings{WengY18,
      title = {Big Data and Deep Learning Platform for Terabyte-Scale Renewable Datasets},
      author = {Weng, Y. and Kumar, A. and Saleem, M. and Zhang, B.},
      year = {2018},
      booktitle = {Power Systems Computation Conference (PSCC)},
      link = {https://ieeexplore.ieee.org/document/8442536}
    }
    

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78. C. Tang, Y. Wang, J. Xu, Y. Sun, and B. Zhang, “Efficient Scenario Generation of Multiple Renewable Power Plants Considering Spatial and Temporal Correlations,” Applied Energy, vol. 221, pp. 348–357, 2018.
    • BibTeX

    @article{Tang17,
      author = {Tang, C and Wang, Y and Xu, J and Sun, Y and Zhang, B},
      title = {Efficient Scenario Generation of Multiple Renewable Power Plants Considering Spatial and Temporal Correlations},
      journal = {Applied Energy},
      year = {2018},
      volume = {221},
      pages = {348-357},
      link = {https://arxiv.org/abs/1707.00237},
      arxiv = {yes}
    }
    

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79. R. Pamula, X. Sun, S. Kim, F. ur Rahman, B. Zhang, and V. S. Sathe, “A 65nm CMOS 3.2-to-86 Mbps 2.58 pJ/b Highly Digital True Random-Number Generator with Integrated De-correlation and Bias Correction,” IEEE Solid-State Circuits Letters, vol. 1, no. 12, pp. 237–240, 2018.
    • BibTeX

    @article{Pamula19,
      title = {A 65nm CMOS 3.2-to-86 Mbps 2.58 pJ/b Highly Digital True Random-Number Generator with Integrated De-correlation and Bias Correction},
      author = {Pamula, Rajesh and Sun, Xun and Kim, Sung and ur Rahman, Fahim and Zhang, Baosen and Sathe, Visvesh S.},
      journal = {IEEE Solid-State Circuits Letters},
      year = {2018},
      volume = {1},
      number = {12},
      pages = {237-240},
      link = {https://ieeexplore.ieee.org/abstract/document/8630642}
    }
    

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80. Y. Shi, B. Xu, D. Wang, and B. Zhang, “Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains,” IEEE Transaction on Power Systems, vol. 33, no. 3, pp. 2882–2894, 2018.
    • BibTeX

    @article{Shi17,
      author = {Shi, Y. and Xu, B. and Wang, D. and Zhang, B.},
      title = {Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains},
      journal = {IEEE Transaction on Power Systems},
      year = {2018},
      volume = {33},
      number = {3},
      pages = {2882-2894},
      link = {http://ieeexplore.ieee.org/document/8027056/},
      blog = {2017-08-30},
      keywords = {selected}
    }
    

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81. Y. Chen, X. Wang, and B. Zhang, “An Unsupervised Deep Learning Approach for Scenario Forecasts,” in Power Systems Computation Conference (PSCC), 2018, pp. 1–7.
    • BibTeX

    @inproceedings{Chen18b,
      title = {An Unsupervised Deep Learning Approach for Scenario Forecasts},
      author = {Chen, Yize and Wang, Xiyu and Zhang, Baosen},
      link = {https://arxiv.org/abs/arXiv:1711.02247},
      year = {2018},
      booktitle = {Power Systems Computation Conference (PSCC)},
      pages = {1-7},
      keywords = {selected}
    }
    

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82. H. Wang and B. Zhang, “Energy Storage Arbitrage in Real-Time Markets Via Reinforcement Learning,” in Power and Energy Society General Meeting, 2018.
    • BibTeX

    @inproceedings{WangH2018,
      title = {Energy Storage Arbitrage in Real-Time Markets Via Reinforcement Learning},
      author = {Wang, Hao and Zhang, Baosen},
      booktitle = {Power and Energy Society General Meeting},
      link = {https://arxiv.org/abs/1711.03127},
      year = {2018}
    }
    

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83. A. Ademola-Idowu and B. Zhang, “Optimal Design of Virtual Inertia and Damping Coefficients for Virtual Synchronous Machines,” in Power and Energy Society General Meeting, 2018.
    • BibTeX

    @inproceedings{Tinu18,
      author = {Ademola-Idowu, A. and Zhang, B.},
      title = {Optimal Design of Virtual Inertia and Damping Coefficients for Virtual Synchronous Machines},
      booktitle = {Power and Energy Society General Meeting},
      year = {2018},
      link = {https://arxiv.org/abs/1806.08488}
    }
    

    • Download
84. Z. Wang, D. Kirschen, and B. Zhang, “Accurate Semidefinite Programming Models for Optimal Power Flow in Distribution Systems,” 2018.
    • BibTeX

    @article{Wang18,
      author = {Wang, Z. and Kirschen, D. and Zhang, B.},
      link = {https://arxiv.org/abs/1711.07853},
      title = {Accurate Semidefinite Programming Models for Optimal Power Flow in Distribution Systems},
      year = {2018}
    }
    

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85. C. P. Dowling, L. J. Ratliff, and B. Zhang, “Modeling Curbside Parking as a Network of Finite Capacity Queues,” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 3, pp. 1011–1022, 2018.
    • BibTeX

    @article{Dowling19,
      author = {Dowling, C. P. and Ratliff, L. J. and Zhang, B.},
      journal = {IEEE Transactions on Intelligent Transportation Systems},
      title = {Modeling Curbside Parking as a Network of Finite Capacity Queues},
      year = {2018},
      volume = {21},
      number = {3},
      pages = {1011-1022}
    }
    

86. P. Li, S. Sekar, and B. Zhang, “A Capacity-Price Game for Uncertain Renewables Resources,” in Proceedings of ACM E-Energy, 2018.
    • BibTeX

    @inproceedings{LiEtAl2018,
      author = {Li, P. and Sekar, S. and Zhang, B.},
      title = {A Capacity-Price Game for Uncertain Renewables Resources},
      booktitle = {Proceedings of ACM E-Energy},
      year = {2018},
      link = {https://ieeexplore.ieee.org/document/8861074}
    }
    

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87. Y. Chen, P. Li, and B. Zhang, “Bayesian Renewables Scenario Generation via Deep Generative Networks,” in Conference on Information Sciences and Systems (CISS), 2018.
    • BibTeX

    @inproceedings{Chen18,
      author = {Chen, Y. and Li, P. and Zhang, B.},
      title = {Bayesian Renewables Scenario Generation via Deep Generative Networks},
      year = {2018},
      booktitle = {Conference on Information Sciences and Systems (CISS)},
      link = {https://arxiv.org/pdf/1802.00868}
    }
    

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88. V. R. Pamula, X. Sun, S. Kim, F. Rahman, B. Zhang, and V. Sathe, “An All‐Digital True‐Random‐Number Generator with Integrated De‐correlation and Bias‐Correction at 3.2‐to‐86 Mb/s, 2.58 pJ/bit in 65 nm CMOS,” in Symposia on VLSI Technology and Circuits, 2018.
    • BibTeX

    @inproceedings{Pamula18,
      title = {{An All‐Digital True‐Random‐Number Generator with Integrated De‐correlation and Bias‐Correction at 3.2‐to‐86 Mb/s,
      2.58 pJ/bit in 65 nm CMOS}},
      author = {Pamula, V. Rajesh and Sun, Xun and Kim, Sung and Rahman, F. and Zhang, Baosen and Sathe, Visvesh},
      year = {2018},
      booktitle = {Symposia on {VLSI} Technology and Circuits},
      link = {https://ieeexplore.ieee.org/abstract/document/8502375}
    }
    

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89. T. Fiez, L. J. Ratliff, C. Dowling, and B. Zhang, “Data Driven Spatio-Temporal Modeling of Parking Demand,” in Proceedings of American Control Conference, 2018.
    • BibTeX

    @inproceedings{Fiez18,
      title = {Data Driven Spatio-Temporal Modeling of Parking Demand},
      author = {Fiez, T. and Ratliff, L. J. and Dowling, C. and Zhang, B.},
      year = {2018},
      booktitle = {Proceedings of American Control Conference},
      link = {https://ieeexplore.ieee.org/document/8431681}
    }
    

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90. Y. Shi, B. Xu, Y. Tan, and B. Zhang, “A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation,” in Proceedings of American Control Conference, 2018.
    • BibTeX

    @inproceedings{Shi17b,
      author = {Shi, Y. and Xu, B. and Tan, Y. and Zhang, B.},
      title = {A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation},
      booktitle = {Proceedings of American Control Conference},
      year = {2018},
      link = {https://arxiv.org/abs/1709.05715}
    }
    

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91. J. E. Contreras-Ocana, M. A. Ortega-Vazquez, D. Kirschen, and B. Zhang, “Tractable and Robust Modeling of Building Flexibility Using Coarse Data,” IEEE Transactions on Power Systems, vol. 33, no. 5, pp. 5456–5468, 2018.
    • BibTeX

    @article{CO18b,
      author = {Contreras-Ocana, J. E. and Ortega-Vazquez, M. A. and Kirschen, D. and Zhang, B.},
      journal = {IEEE Transactions on Power Systems},
      title = {Tractable and Robust Modeling of Building Flexibility Using Coarse Data},
      year = {2018},
      volume = {33},
      number = {5},
      pages = {5456-5468},
      link = {https://arxiv.org/abs/1802.06165}
    }
    

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92. N. Mazzi, B. Zhang, and D. S. Kirschen, “An Online Optimization Algorithm for Alleviating Contingencies in Transmission Networks,” IEEE Transactions on Power Systems, vol. 33, no. 5, pp. 5572–5582, 2018.
    • BibTeX

    @article{mazzi2017online,
      author = {Mazzi, N. and Zhang, B. and Kirschen, D. S.},
      journal = {IEEE Transactions on Power Systems},
      title = {An Online Optimization Algorithm for Alleviating Contingencies in Transmission Networks},
      year = {2018},
      volume = {33},
      number = {5},
      pages = {5572-5582},
      link = {https://arxiv.org/abs/1709.03965}
    }
    

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93. B. Xu, Y. Shi, D. S. Kirschen, and B. Zhang, “Optimal Battery Participation in Frequency Regulation Markets,” IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 6715–6725, 2018.
    • BibTeX

    @article{Xu18,
      author = {Xu, B. and Shi, Y. and Kirschen, D. S. and Zhang, B.},
      journal = {IEEE Transactions on Power Systems},
      title = {Optimal Battery Participation in Frequency Regulation Markets},
      year = {2018},
      volume = {33},
      number = {6},
      pages = {6715-6725},
      link = {https://arxiv.org/abs/1710.10514}
    }
    

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94. J. E. Contreras-Ocana, U. Siddiqi, and B. Zhang, “Non-Wire Alternatives to Capacity Expansion,” in Power and Energy Society General Meeting, 2018.
    • BibTeX

    @inproceedings{CO18,
      title = {Non-Wire Alternatives to Capacity Expansion},
      author = {Contreras-Ocana, Jesus E. and Siddiqi, Uzma and Zhang, Baosen},
      year = {2018},
      booktitle = {Power and Energy Society General Meeting},
      keywords = {selected},
      link = {https://arxiv.org/abs/1711.01349}
    }
    

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95. C. Dowling, T. Fiez, L. Ratliff, and B. Zhang, “Optimizing Curbside Parking Resources Subject to Congestion Constraints,” in IEEE Conference on Decision and Control, 2017.
    • BibTeX

    @inproceedings{Dowling17b,
      author = {Dowling, Chase and Fiez, Tanner and Ratliff, Lillian and Zhang, Baosen},
      title = {Optimizing Curbside Parking Resources Subject to Congestion Constraints},
      booktitle = {IEEE Conference on Decision and Control},
      year = {2017},
      link = {https://arxiv.org/abs/1703.07802}
    }
    

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96. C. Riquelme, R. Johari, and B. Zhang, “Online Active Learning Via Thresholding,” in Proceedings of AAAI Conference on Artificial Intelligence, 2017.
    • BibTeX

    @inproceedings{RiquelmeEtAl2017,
      author = {Riquelme, Carlos and Johari, R. and Zhang, B.},
      title = {Online Active Learning Via Thresholding},
      booktitle = {Proceedings of AAAI Conference on Artificial Intelligence,},
      year = {2017},
      link = {https://arxiv.org/abs/1602.02845}
    }
    

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97. P. Li, B. Zhang, Y. Weng, and R. Rajagopal, “A Sparse Linear Model and Significance Test for Individual Consumption Prediction,” IEEE Transactions on Power Systems, vol. 32, no. 6, pp. 4489–4500, 2017.
    • BibTeX

    @article{LiEtAl2017,
      author = {Li, P. and Zhang, B. and Weng, Y. and Rajagopal, R.},
      title = {A Sparse Linear Model and Significance Test for Individual Consumption Prediction},
      journal = {IEEE Transactions on Power Systems},
      year = {2017},
      volume = {32},
      number = {6},
      pages = {4489--4500},
      link = {http://ieeexplore.ieee.org/document/7873345/}
    }
    

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98. C. Dowling, T. Fiez, L. Ratliff, and B. Zhang, “How much urban traffic is searching for parking,” arXiv preprint arXiv:1702.06156, 2017.
    • BibTeX

    @article{dowling2017much,
      title = {How much urban traffic is searching for parking},
      author = {Dowling, Chase and Fiez, Tanner and Ratliff, Lillian and Zhang, Baosen},
      journal = {arXiv preprint arXiv:1702.06156},
      year = {2017}
    }
    

99. B. Xu, Y. Shi, D. Kirschen, and B. Zhang, “Optimal Regulation Response of Batteries Under Cycle Aging Mechanisms,” in IEEE Conference on Decision and Control, 2017.
    • BibTeX

    @inproceedings{Xu17,
      author = {Xu, B. and Shi, Y. and Kirschen, D. and Zhang, B.},
      title = {Optimal Regulation Response of Batteries Under Cycle Aging Mechanisms},
      booktitle = {IEEE Conference on Decision and Control},
      year = {2017},
      link = {https://arxiv.org/abs/1709.05715}
    }
    

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100. P. Li and B. Zhang, “Distribution System Voltage Control under Uncertainties,” in Asilomar Conference, 2017.
     • BibTeX

     @inproceedings{LiEtAl2017b,
       author = {Li, P. and Zhang, B.},
       title = {Distribution System Voltage Control under Uncertainties},
       booktitle = {Asilomar Conference},
       year = {2017},
       link = {https://arxiv.org/abs/1704.08999}
     }
     

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101. Y. Chen, Y. Shi, and B. Zhang, “Modeling and Optimization of Complex Building Energy Systems with Deep Neural Networks,” in Asilomar Conference, 2017.
     • BibTeX

     @inproceedings{ChenEtAl2017,
       author = {Chen, Y. and Shi, Y. and Zhang, B.},
       title = {Modeling and Optimization of Complex Building Energy Systems with Deep Neural Networks},
       booktitle = {Asilomar Conference},
       year = {2017},
       link = {https://arxiv.org/pdf/1711.02278}
     }
     

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102. Y. Shi, B. Xu, B. Zhang, and D. Wang, “Leveraging energy storage to optimize data center electricity cost in emerging power markets,” in ACM E-Energy, 2016.
     • BibTeX

     @inproceedings{ShiEtAl2016,
       author = {Shi, Yuanyuan and Xu, Bolun and Zhang, Baosen and Wang, Di},
       title = {Leveraging energy storage to optimize data center electricity cost in emerging power markets},
       booktitle = {ACM E-Energy},
       year = {2016},
       link = {http://arxiv.org/abs/1606.01536},
       blog = {2016-6-16},
       __markedentry = {[zhangbao:6]}
     }
     

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103. P. Li and B. Zhang, “Estimating treatment effects in demand response,” in Proc. IEEE Statistical Signal Processing Workshop (SSP), 2016, pp. 1–5.
     • BibTeX

     @inproceedings{LiEtAl2016a,
       author = {Li, P. and Zhang, B.},
       title = {Estimating treatment effects in demand response},
       booktitle = {Proc. IEEE Statistical Signal Processing Workshop (SSP)},
       year = {2016},
       pages = {1--5},
       link = {http://ieeexplore.ieee.org/document/7551825/}
     }
     

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104. P. Li and B. Zhang, “An Optimal Treatment Assignment Strategy to Evaluate Demand Response Effect,” in Proceedings of the Allerton Conference on Communication, Control and Computing, 2016.
     • BibTeX

     @inproceedings{Li16,
       author = {Li, P. and Zhang, B.},
       title = {An Optimal Treatment Assignment Strategy to Evaluate Demand Response Effect},
       booktitle = {Proceedings of the Allerton Conference on Communication, Control and Computing},
       year = {2016},
       link = {http://ieeexplore.ieee.org/document/7852300/}
     }
     

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105. H. Hosseini, S. Kannan, B. Zhang, and R. Poovendran, “Learning Temporal Dependence from Time-Series Data with Latent Variables,” in Proc. IEEE Int. Conf. Data Science and Advanced Analytics (DSAA), 2016, pp. 253–262.
     • BibTeX

     @inproceedings{HosseiniEtAl2016,
       author = {Hosseini, H. and Kannan, S. and Zhang, B. and Poovendran, R.},
       title = {Learning Temporal Dependence from Time-Series Data with Latent Variables},
       booktitle = {Proc. IEEE Int. Conf. Data Science and Advanced Analytics (DSAA)},
       year = {2016},
       pages = {253--262},
       link = {https://arxiv.org/abs/1608.07636}
     }
     

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106. P. Li, B. Zhang, Y. Weng, and R. Rajagopal, “Autoregressive model for individual consumption data - Sparsity recovery and significance test,” in Proc. IEEE Power and Energy Society General Meeting (PESGM), 2016, pp. 1–5.
     • BibTeX

     @inproceedings{LiEtAl2016,
       author = {Li, Pan and Zhang, Baosen and Weng, Yang and Rajagopal, Ram},
       title = {Autoregressive model for individual consumption data - Sparsity recovery and significance test},
       booktitle = {Proc. IEEE Power and Energy Society General Meeting (PESGM)},
       year = {2016},
       pages = {1--5},
       link = {http://ieeexplore.ieee.org/document/7741126/}
     }
     

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107. L. J. Ratliff, C. Dowling, E. Mazumdar, and B. Zhang, “To Observe or Not to Observe: Queuing Game Framework for Urban Parking,” in IEEE Conference on Decision and Control (CDC), 2016.
     • BibTeX

     @inproceedings{RatliffEtAl2016,
       author = {Ratliff, L. J. and Dowling, C. and Mazumdar, E. and Zhang, B.},
       title = {To Observe or Not to Observe: Queuing Game Framework for Urban Parking},
       booktitle = {IEEE Conference on Decision and Control (CDC)},
       year = {2016},
       link = {https://www.dropbox.com/s/2lj40bobpsgi215/2016cdc.pdf?dl=0},
       blog = {2016-3-19}
     }
     

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108. B. Zhang, A. Lam, A. D. Dominguez-Garcia, and D. Tse, “An optimal and distributed method for voltage regulation in power distribution systems,” Power Systems, IEEE Transactions on, vol. 30, no. 4, pp. 1714–1726, 2015.
     • BibTeX

     @article{ZhangEtAl2015,
       author = {Zhang, Baosen and Lam, Albert and Dominguez-Garcia, Alejandro D and Tse, David},
       title = {An optimal and distributed method for voltage regulation in power distribution systems},
       journal = {Power Systems, IEEE Transactions on},
       year = {2015},
       volume = {30},
       number = {4},
       pages = {1714--1726},
       link = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6908041},
       publisher = {IEEE}
     }
     

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109. G. Cezar, R. Rajagopal, and B. Zhang, “Stability of interconnected DC converters,” in Proc. 54th IEEE Conf. Decision and Control (CDC), 2015, pp. 9–14.
     • BibTeX

     @inproceedings{CezarEtAl2015,
       author = {Cezar, G. and Rajagopal, R. and Zhang, B.},
       title = {Stability of interconnected {DC} converters},
       booktitle = {Proc. 54th IEEE Conf. Decision and Control (CDC)},
       year = {2015},
       pages = {9--14},
       month = dec,
       link = {http://arxiv.org/abs/1503.08383}
     }
     

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110. B. Zhang, R. Johari, and R. Rajagopal, “Competition and Coalition Formation of Renewable Power Producers,” IEEE Transactions on Power Systems, vol. 30, no. 3, pp. 1624–1632, May 2015.
     • BibTeX

     @article{ZhangEtAl2015a,
       author = {Zhang, B. and Johari, R. and Rajagopal, R.},
       title = {Competition and Coalition Formation of Renewable Power Producers},
       journal = {IEEE Transactions on Power Systems},
       year = {2015},
       volume = {30},
       number = {3},
       pages = {1624--1632},
       month = may,
       link = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7014306}
     }
     

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111. Y. Yu, B. Zhang, and R. Rajagopal, “Do wind power producers have market power and exercise it?,” in IEEE PES General Meeting, 2014, pp. 1–5.
     • BibTeX

     @inproceedings{YuEtAl2014,
       author = {Yu, Y. and Zhang, B. and Rajagopal, R.},
       title = {Do wind power producers have market power and exercise it?},
       booktitle = {IEEE PES General Meeting},
       year = {2014},
       pages = {1--5},
       month = jul,
       link = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6939858}
     }
     

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112. B. Zhang, R. Rajagopal, and D. Tse, “Network Risk Limiting Dispatch: Optimal Control and Price of Uncertainty,” IEEE Transactions on Automatic Control, vol. 59, no. 9, pp. 2442–2456, Sep. 2014.
     • BibTeX

     @article{ZhangEtAl2014,
       author = {Zhang, Baosen and Rajagopal, R. and Tse, D.},
       title = {Network Risk Limiting Dispatch: Optimal Control and Price of Uncertainty},
       journal = {IEEE Transactions on Automatic Control},
       year = {2014},
       volume = {59},
       number = {9},
       pages = {2442--2456},
       month = sep,
       link = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6818365}
     }
     

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113. S. Patel, R. Sevlian, B. Zhang, and R. Rajagopal, “Aggregation for load servicing,” in PES General Meeting| Conference & Exposition, 2014 IEEE, 2014, pp. 1–5.
     • BibTeX

     @inproceedings{PatelEtAl2014,
       author = {Patel, Surabhi and Sevlian, Raffi and Zhang, Baosen and Rajagopal, Ram},
       title = {Aggregation for load servicing},
       booktitle = {PES General Meeting| Conference \& Exposition, 2014 IEEE},
       year = {2014},
       pages = {1--5},
       link = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6939793}
     }
     

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114. J. Lavaei, D. Tse, and B. Zhang, “Geometry of power flows and optimization in distribution networks,” IEEE Transactions on Power Systems, vol. 29, no. 2, pp. 572–583, 2014.
     • BibTeX

     @article{LavaeiEtAl2014,
       author = {Lavaei, Javad and Tse, David and Zhang, Baosen},
       title = {Geometry of power flows and optimization in distribution networks},
       journal = {IEEE Transactions on Power Systems},
       year = {2014},
       volume = {29},
       number = {2},
       pages = {572--583},
       link = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6624135},
       publisher = {IEEE}
     }
     

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115. B. Zhang and D. Tse, “Geometry of injection regions of power networks,” IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 788–797, 2013.
     • BibTeX

     @article{ZhangEtAl2013,
       author = {Zhang, Baosen and Tse, David},
       title = {Geometry of injection regions of power networks},
       journal = {IEEE Transactions on Power Systems},
       year = {2013},
       volume = {28},
       number = {2},
       pages = {788--797},
       link = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6290429},
       publisher = {IEEE}
     }
     

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116. B. Zhang, “Control and Optimization of Power Systems with Renewables: Voltage Regulation and Generator Dispatch,” PhD thesis, University of California, Berkeley, 2013.
     • BibTeX

     @phdthesis{Zhang2013,
       author = {Zhang, Baosen},
       title = {Control and Optimization of Power Systems with Renewables: Voltage Regulation and Generator Dispatch},
       school = {University of California, Berkeley},
       year = {2013},
       link = {http://digitalassets.lib.berkeley.edu/etd/ucb/text/Zhang_berkeley_0028E_13633.pdf}
     }
     

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117. B. Zhang, R. Rajagopal, and D. Tse, “Risk limiting dispatch in congested networks,” in Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on, 2013, pp. 7568–7575.
     • BibTeX

     @inproceedings{ZhangEtAl2013a,
       author = {Zhang, Boming and Rajagopal, Ram and Tse, David},
       title = {Risk limiting dispatch in congested networks},
       booktitle = {Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on},
       year = {2013},
       pages = {7568--7575},
       link = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6761091}
     }
     

     • Download
118. B. Zhang, A. D. Dominguez-Garcia, and D. Tse, “A local control approach to voltage regulation in distribution networks,” in Proc. North American Power Symp. (NAPS), 2013, pp. 1–6.
     • BibTeX

     @inproceedings{ZhangEtAl2013b,
       author = {Zhang, Baosen and Dominguez-Garcia, A. D. and Tse, D.},
       title = {A local control approach to voltage regulation in distribution networks},
       booktitle = {Proc. North American Power Symp. (NAPS)},
       year = {2013},
       pages = {1--6},
       month = sep,
       keywords = {selected}
     }
     

119. J. Qin, B. Zhang, and R. Rajagopal, “Risk limiting dispatch with ramping constraints,” in Proc. IEEE Int Smart Grid Communications (SmartGridComm) Conf, 2013, pp. 791–796.
     • BibTeX

     @inproceedings{QinEtAl2013,
       author = {Qin, Junjie and Zhang, Baosen and Rajagopal, R.},
       title = {Risk limiting dispatch with ramping constraints},
       booktitle = {Proc. IEEE Int Smart Grid Communications (SmartGridComm) Conf},
       year = {2013},
       pages = {791--796},
       month = oct,
       link = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6688056}
     }
     

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120. A. Lam, B. Zhang, and D. N. Tse, “Distributed algorithms for optimal power flow problem,” in Decision and Control (CDC), 2012 IEEE 51st Annual Conference on, 2012, pp. 430–437.
     • BibTeX

     @inproceedings{LamEtAl2012a,
       author = {Lam, Albert and Zhang, Baosen and Tse, DN},
       title = {Distributed algorithms for optimal power flow problem},
       booktitle = {Decision and Control (CDC), 2012 IEEE 51st Annual Conference on},
       year = {2012},
       pages = {430--437},
       link = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6427082}
     }
     

     • Download
121. R. Rajagopal, D. Tse, and B. Zhang, “Risk limiting dispatch in congested networks,” in Proc. 50th Annual Allerton Conf. Communication, Control, and Computing (Allerton), 2012, pp. 1900–1907.
     • BibTeX

     @inproceedings{RajagopalEtAl2012,
       author = {Rajagopal, R. and Tse, D. and Zhang, B.},
       title = {Risk limiting dispatch in congested networks},
       booktitle = {Proc. 50th Annual Allerton Conf. Communication, Control, and Computing (Allerton)},
       year = {2012},
       pages = {1900--1907},
       month = oct,
       link = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6818365}
     }
     

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122. J. Lavaei, D. Tse, and B. Zhang, “Geometry of power flows in tree networks,” in Power and Energy Society General Meeting, 2012 IEEE, 2012, pp. 1–8.
     • BibTeX

     @inproceedings{LavaeiEtAl2012,
       author = {Lavaei, Javad and Tse, David and Zhang, Baosen},
       title = {Geometry of power flows in tree networks},
       booktitle = {Power and Energy Society General Meeting, 2012 IEEE},
       year = {2012},
       pages = {1--8},
       link = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6344803}
     }
     

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123. A. Lam, A. Dominguez-Garcia, B. Zhang, and D. Tse, “Optimal distributed voltage regulation in power distribution networks,” 2012.
     • BibTeX

     @techreport{LamEtAl2012,
       author = {Lam, Albert and Dominguez-Garcia, Alejandro and Zhang, Baosen and Tse, David},
       title = {Optimal distributed voltage regulation in power distribution networks},
       year = {2012}
     }
     

124. B. Zhang and D. Tse, “Geometry of feasible injection region of power networks,” in Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on, 2011, pp. 1508–1515.
     • BibTeX

     @inproceedings{ZhangEtAl2011,
       author = {Zhang, Baosen and Tse, David},
       title = {Geometry of feasible injection region of power networks},
       booktitle = {Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on},
       year = {2011},
       pages = {1508--1515},
       link = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6120346}
     }
     

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125. Y. Kanoria, A. Montanari, D. Tse, and B. Zhang, “Distributed storage for intermittent energy sources: Control design and performance limits,” in Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on, 2011, pp. 1310–1317.
     • BibTeX

     @inproceedings{KanoriaEtAl2011,
       author = {Kanoria, Yashodhan and Montanari, Andrea and Tse, David and Zhang, Baosen},
       title = {Distributed storage for intermittent energy sources: Control design and performance limits},
       booktitle = {Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on},
       year = {2011},
       pages = {1310--1317},
       link = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6120319}
     }
     

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126. B. Zhang and M. D. Trott, “Reference-free audio matching for rendezvous,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2010, pp. 3570–3573.
     • BibTeX

     @inproceedings{ZhangEtAl2010,
       title = {Reference-free audio matching for rendezvous},
       author = {Zhang, Baosen and Trott, Mitchell D},
       booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
       pages = {3570--3573},
       year = {2010}
     }
     

127. S. B. Kuntze, B. Zhang, L. Pavel, and J. S. Aitchison, “Impact of Feedback Delay on Closed-Loop Stability in Semiconductor Optical Amplifier Control Circuits,” Journal of Lightwave Technology, vol. 27, no. 9, pp. 1095–1107, May 2009.
     • BibTeX

     @article{KuntzeEtAl2009,
       author = {Kuntze, S. B. and Zhang, B. and Pavel, L. and Aitchison, J. S.},
       title = {Impact of Feedback Delay on Closed-Loop Stability in Semiconductor Optical Amplifier Control Circuits},
       journal = {Journal of Lightwave Technology},
       year = {2009},
       volume = {27},
       number = {9},
       pages = {1095--1107},
       month = may,
       link = {https://www.osapublishing.org/abstract.cfm?uri=jlt-27-9-1095}
     }
     

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128. B. Zhang, S. B. Kuntze, L. Pavel, and J. S. Aitchison, “Delay-tolerant control design for Semiconductor Optical Amplifiers,” in American Control Conference (ACC), 2008, pp. 4154–4160.
     • BibTeX

     @inproceedings{ZhangEtAl2008,
       author = {Zhang, Baosen and Kuntze, Scott B and Pavel, Lacra and Aitchison, J Stewart},
       title = {Delay-tolerant control design for Semiconductor Optical Amplifiers},
       booktitle = {American Control Conference (ACC)},
       year = {2008},
       pages = {4154--4160},
       link = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4587145}
     }
     

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129. B. Zhang, E. Young, and C. Simmons, “3-D computational analysis of hemodynamic shear stresses on the aortic value,” in Canadian Congress of Applied Mechanics, 2007.
     • BibTeX

     @inproceedings{Zhang07,
       title = {3-D computational analysis of hemodynamic shear stresses on the aortic value},
       author = {Zhang, B. and Young, E. and Simmons, C.},
       booktitle = {Canadian Congress of Applied Mechanics},
       year = {2007}
     }
     

130. • BibTeX

     @ieeetranbstctl{IEEEexample:BSTcontrol,
       ctldash_repeated_names = {no}
     }
     

Thesis

1. B. Zhang, “Control and Optimization of Power Systems with Renewables: Voltage Regulation and Generator Dispatch,” PhD thesis, University of California, Berkeley, 2013.
   • BibTeX

   @phdthesis{Zhang2013,
     author = {Zhang, Baosen},
     title = {Control and Optimization of Power Systems with Renewables: Voltage Regulation and Generator Dispatch},
     school = {University of California, Berkeley},
     year = {2013},
     link = {http://digitalassets.lib.berkeley.edu/etd/ucb/text/Zhang_berkeley_0028E_13633.pdf}
   }
   

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