Journal and Preprints

  1. Y. Chen, Y. Shi, and B. Zhang, “Input Convex Neural Networks for Optimal Voltage Regulation,” 2020.
  2. S. Sekar, L. Zheng, L. Ratliff, and B. Zhang, “Uncertainty in Multi-Commodity Routing Networks: When does it help?,” To Appear in IEEE Transactions on Automatic Control, 2020.
  3. Q. He, Y. Yang, and B. Zhang, “Smart Energy Storage Management via Information Systems Design,” Energy Economics, 2020.
  4. Y. Chen and B. Zhang, “Learning to Solve Network Flow Problems via Neural Decoding,” arXiv preprint arXiv:2002.04091, 2020.
  5. P. Li, S. Sekar, and B. Zhang, “A Capacity-Price Game for Uncertain Renewables Resources,” To Appear in IEEE Transactions on Sustainable Computing, 2019.
  6. L. Zhang and B. Zhang, “Scenario Forecasting of Residential Load Profiles,” To Appear in IEEE Journal on Selected Areas in Communications, Special Issue on Communications and Data Analytics in Smart Grid, 2019.
  7. 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,” to Appear in IEEE Transactions on Smart Grid, 2019.
  8. Y. Yang, Z. Yang, J. Yu, and B. Zhang, “Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach,” To Appear in IEEE Transaction on Smartgrid, 2019.
  9. 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.
  10. A. Ademola-Idowu and B. Zhang, “Frequency Stability Using Inverter Power Control in Low-Inertia Power Systems,” Submitted to IEEE Transactions on Power systems, 2019.
  11. 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.
  12. 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,” To Appear in IEEE Transactions on Power Systems, 2019.
  13. 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.
  14. Y. Weng, R. Rajagopal, and B. Zhang, “A Geometric Analysis of Power System Loadability Regions,” To Appear in IEEE Transaction on Smartgrid, 2019.
  15. 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.
  16. 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.
  17. J. E. Contreras-Ocana, Y. Chen, U. Siddiqi, and B. Zhang, “Non-Wire Alternatives: an Additional Value Stream for Distributed Energy Resources,” to Appear in IEEE Transactions on Sustainable Energy, 2019.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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 TrueRandom-Number Generator with Integrated De-correlation and Bias Correction,” IEEE Solid-State Circuits Letters, vol. 1, no. 12, pp. 237–240, 2018.
  25. Z. Wang, D. Kirschen, and B. Zhang, “Accurate Semidefinite Programming Models for Optimal Power Flow in Distribution Systems,” Submitted to IEEE Transactions on Power Systems, 2018.
  26. 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, pp. 1–12, 2018.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. J. Lavaei, D. Tse, and B. Zhang, “Geometry of power flows and optimization in distribution networks,” Power Systems, IEEE Transactions on, vol. 29, no. 2, pp. 572–583, 2014.
  32. 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.
  33. B. Zhang and D. Tse, “Geometry of injection regions of power networks,” Power Systems, IEEE Transactions on, vol. 28, no. 2, pp. 788–797, 2013.
  34. 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.

Conference Proceedings

  1. C. P. Dowling and B. Zhang, “ Transfer Learning for HVAC System Fault Detection,” in American Control Conference (ACC), 2020.
  2. C. P. Dowling and B. Zhang, “Mitigation of Coincident Peak Charges via Approximate Dynamic Programming,” in IEEE Conf. Decision and Control (CDC), 2019.
  3. 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.
  4. 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.
  5. Y. Chen, Y. Shi, and B. Zhang, “Optimal Control Via Neural Networks: A Convex Approach,” in International Conference on Learning Representations (ICLR), 2019.
  6. P. Li, S. Sekar, and B. Zhang, “A Capacity-Price Game for Uncertain Renewables Resources,” in Proceedings of ACM E-Energy, 2018.
  7. 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.
  8. 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.
  9. Y. Chen, P. Li, and B. Zhang, “Bayesian Renewables Scenario Generation via Deep Generative Networks,” in Conference on Information Sciences and Systems (CISS), 2018.
  10. H. Wang and B. Zhang, “Energy Storage Arbitrage in Real-Time Markets Via Reinforcement Learning,” in Power and Energy Society General Meeting, 2018.
  11. Y. Chen, X. Wang, and B. Zhang, “An Unsupervised Deep Learning Approach for Scenario Forecasts,” in Power Systems Computation Conference (PSCC), 2018.
  12. 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.
  13. J. E. Contreras-Ocana, U. Siddiqi, and B. Zhang, “Non-Wire Alternatives to Capacity Expansion,” in Power and Energy Society General Meeting, 2018.
  14. 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.
  15. V. R. Pamula, X. Sun, S. Kim, F. ur 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.
  16. 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.
  17. Y. Chen, Y. Shi, and B. Zhang, “Modeling and Optimization of Complex Building Energy Systems with Deep Neural Networks,” in Asilomar Conference, 2017.
  18. P. Li and B. Zhang, “Distribution System Voltage Control under Uncertainties,” in Asilomar Conference, 2017.
  19. 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.
  20. C. Riquelme, R. Johari, and B. Zhang, “Online Active Learning Via Thresholding,” in Proceedings of AAAI Conference on Artificial Intelligence, 2017.
  21. C. Dowling, T. Fiez, L. Ratliff, and B. Zhang, “How Much Urban Traffic is Searching for Parking?,” in submitted to ICCPS, 2017.
  22. 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.
  23. 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, 2016.
  24. 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, 2016.
  25. 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.
  26. 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.
  27. P. Li and B. Zhang, “Estimating treatment effects in demand response,” in Proc. IEEE Statistical Signal Processing Workshop (SSP), 2016, pp. 1–5.
  28. 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.
  29. Y. Yu, B. Zhang, and R. Rajagopal, “Do wind power producers have market power and exercise it?,” in Proc. IEEE PES General Meeting | Conf. Exposition, 2014, pp. 1–5.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. B. Zhang and M. D. Trott, “Reference-free audio matching for rendezvous,” in Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on, 2010, pp. 3570–3573.
  40. B. Zhang, S. B. Kuntze, L. Pavel, and J. S. Aitchison, “Delay-tolerant control design for Semiconductor Optical Amplifiers,” in American Control Conference, 2008, 2008, pp. 4154–4160.

Thesis

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