Baosen Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 127

Top Venues

CoRR

CDC

IEEE Trans. Smart Grid

ACC

Publications

Jiayi Li, Matthew Motoki, Baosen Zhang
Balancing Fairness and Efficiency in Energy Resource Allocations. CoRR (2024)
Yan Jiang, Hancheng Min, Baosen Zhang
Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation. CoRR (2024)
Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés
Equilibria of Fully Decentralized Learning in Networked Systems. CoRR (2023)
Zhijun Li, Chunjiang Li, Yu Yang, Baosen Zhang, Yu Deng, Guoyu Li
Physical Mechanism and Parameterization for Correcting Radar Wave Velocity in Yellow River Ice with Air Temperature and Ice Thickness. Remote. Sens. 15 (4) (2023)
Ling Zhang, Daniel Tabas, Baosen Zhang
Convex Restriction of Feasible Sets for AC Radial Networks. CoRR (2023)
Wenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi
Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees. CoRR (2023)
Xiuwei Zhang, Zixu Zhao, Lingyan Ran, Yinghui Xing, Wenna Wang, Zeze Lan, Hanlin Yin, Houjun He, Qixing Liu, Baosen Zhang, Yanning Zhang
FastICENet: A real-time and accurate semantic segmentation model for aerial remote sensing river ice image. Signal Process. 212 (2023)
Chunjiang Li, Zhijun Li, Wenfeng Huang, Baosen Zhang, Yu Deng, Guoyu Li
Morphology Dynamics of Ice Cover in a River Bend Revealed by the UAV-GPR and Sentinel-2. Remote. Sens. 15 (12) (2023)
Zixiao Ma, Baosen Zhang
Controlling Grid-Connected Inverters under Time-Varying Voltage Constraints. CoRR (2023)
Trager Joswig-Jones, Baosen Zhang
Optimal Control of Grid-Interfacing Inverters With Current Magnitude Limits. CoRR (2023)
Jiayi Li, Matthew Motoki, Baosen Zhang
Socially Optimal Energy Usage via Adaptive Pricing. CoRR (2023)
Daniel Tabas, Ahmed S. Zamzam, Baosen Zhang
Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning. L4DC (2023)
Jochen Stiasny, Spyros Chatzivasileiadis, Baosen Zhang
Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition. CoRR (2023)
Wenqi Cui, Linbin Huang, Weiwei Yang, Baosen Zhang
Efficient Reinforcement Learning Through Trajectory Generation. L4DC (2023)
Wenqi Cui, Guanya Shi, Yuanyuan Shi, Baosen Zhang
Leveraging Predictions in Power System Frequency Control: an Adaptive Approach. CoRR (2023)
Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés
Equilibria of Fully Decentralized Learning in Networked Systems. L4DC (2023)
Wenqi Cui, Guanya Shi, Yuanyuan Shi, Baosen Zhang
Leveraging Predictions in Power System Frequency Control: An Adaptive Approach. CDC (2023)
Wenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi
Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees. NeurIPS (2023)
Ling Zhang, Daniel Tabas, Baosen Zhang
An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees. CoRR (2023)
Pan Li, Shreyas Sekar, Baosen Zhang
A Capacity-Price Game for Uncertain Renewables Resources. IEEE Trans. Sustain. Comput. 7 (3) (2022)
Daniel Tabas, Baosen Zhang
Safe and Efficient Model Predictive Control Using Neural Networks: An Interior Point Approach. CoRR (2022)
Bosong Li, Baosen Zhang, Daniel S. Kirschen
Cyber-Physical Attack Leveraging Subsynchronous Resonance. CoRR (2022)
Wenqi Cui, Linbin Huang, Weiwei Yang, Baosen Zhang
Efficient Reinforcement Learning Through Trajectory Generation. CoRR (2022)
Daniel Tabas, Baosen Zhang
Computationally Efficient Safe Reinforcement Learning for Power Systems. ACC (2022)
Wenqi Cui, Baosen Zhang
Equilibrium-Independent Stability Analysis for Distribution Systems With Lossy Transmission Lines. IEEE Control. Syst. Lett. 6 (2022)
Wenqi Cui, Baosen Zhang
Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability. IEEE Control. Syst. Lett. 6 (2022)
Wenqi Cui, Baosen Zhang
Equilibrium-Independent Stability Analysis for Distribution Systems with Lossy Transmission Lines. CoRR (2022)
Sina Taheri, Vassilis Kekatos, Sriharsha Veeramachaneni, Baosen Zhang
Data-Driven Modeling of Aggregate Flexibility Under Uncertain and Non-Convex Device Models. IEEE Trans. Smart Grid 13 (6) (2022)
Wenqi Cui, Jiayi Li, Baosen Zhang
Decentralized Safe Reinforcement Learning for Voltage Control. ACC (2022)
Yu Deng, Chunjiang Li, Zhijun Li, Baosen Zhang
Dynamic and Full-Time Acquisition Technology and Method of Ice Data of Yellow River. Sensors 22 (1) (2022)
Ling Zhang, Baosen Zhang
An iterative approach to improving solution quality for AC optimal power flow problems. e-Energy (2022)
Ling Zhang, Yize Chen, Baosen Zhang
A Convex Neural Network Solver for DCOPF With Generalization Guarantees. IEEE Trans. Control. Netw. Syst. 9 (2) (2022)
Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés
Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach. CoRR (2022)
Wenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi
Structured Neural-PI Control for Networked Systems: Stability and Steady-State Optimality Guarantees. CoRR (2022)
Daniel Tabas, Baosen Zhang
Safe and Efficient Model Predictive Control Using Neural Networks: An Interior Point Approach. CDC (2022)
Sina Taheri, Vassilis Kekatos, Harsha Veeramachaneni, Baosen Zhang
Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models. CoRR (2022)
Daniel Tabas, Ahmed S. Zamzam, Baosen Zhang
Interpreting Primal-Dual Algorithms for Constrained MARL. CoRR (2022)
Atinuke Ademola-Idowu, Baosen Zhang
Optimal Inverter-Based Resources Placement in Low-Inertia Power Systems. CoRR (2022)
Wenqi Cui, Weiwei Yang, Baosen Zhang
Predicting Power System Dynamics and Transients: A Frequency Domain Approach. CoRR (2021)
Wenqi Cui, Baosen Zhang
Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability. CoRR (2021)
Liyuan Zheng, Yuanyuan Shi, Lillian J. Ratliff, Baosen Zhang
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks. L4DC (2021)
Ling Zhang, Baosen Zhang
Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach. CoRR (2021)
Ling Zhang, Baosen Zhang
An Iterative Approach to Improving Solution Quality for AC Optimal Power Flow Problems. CoRR (2021)
Wenqi Cui, Jiayi Li, Baosen Zhang
Decentralized Safe Reinforcement Learning for Voltage Control. CoRR (2021)
Yize Chen, Baosen Zhang
State-of-Charge Aware EV Charging. CoRR (2021)
Yize Chen, Yushi Tan, Ling Zhang, Baosen Zhang
Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks. SmartGridComm (2021)
Ling Zhang, Baosen Zhang
An Iterative Approach to Finding Global Solutions of AC Optimal Power Flow Problems. CoRR (2021)
Daniel Tabas, Baosen Zhang
Computationally Efficient Safe Reinforcement Learning for Power Systems. CoRR (2021)
Ling Zhang, Baosen Zhang
Scenario Forecasting of Residential Load Profiles. IEEE J. Sel. Areas Commun. 38 (1) (2020)
Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff, Baosen Zhang
Uncertainty in Multicommodity Routing Networks: When Does It Help? IEEE Trans. Autom. Control. 65 (11) (2020)
Yuanyuan Shi, Baosen Zhang
Multi-Agent Reinforcement Learning in Cournot Games. CDC (2020)
Yuanyuan Shi, Baosen Zhang
Multi-Agent Reinforcement Learning in Cournot Games. CoRR (2020)
Yan Yang, Zhifang Yang, Juan Yu, Baosen Zhang, Youqiang Zhang, Hongxin Yu
Fast Calculation of Probabilistic Power Flow: A Model-Based Deep Learning Approach. IEEE Trans. Smart Grid 11 (3) (2020)
Yang Weng, Ram Rajagopal, Baosen Zhang
A Geometric Analysis of Power System Loadability Regions. IEEE Trans. Smart Grid 11 (4) (2020)
Wenqi Cui, Baosen Zhang
Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach. CoRR (2020)
Yaohua Cheng, Ning Zhang, Baosen Zhang, Chongqing Kang, Weimin Xi, Mengshuang Feng
Low-Carbon Operation of Multiple Energy Systems Based on Energy-Carbon Integrated Prices. IEEE Trans. Smart Grid 11 (2) (2020)
Chase P. Dowling, Baosen Zhang
Transfer Learning for HVAC System Fault Detection. ACC (2020)
Daniel Tabas, Baosen Zhang
Consensus-Based Set-Theoretic Control in Power Systems. CoRR (2020)
Chase P. Dowling, Baosen Zhang
Transfer Learning for HVAC System Fault Detection. CoRR (2020)
Ling Zhang, Yize Chen, Baosen Zhang
A Convex Neural Network Solver for DCOPF with Generalization Guarantees. CoRR (2020)
Liyuan Zheng, Yuanyuan Shi, Lillian J. Ratliff, Baosen Zhang
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks. CoRR (2020)
Chase P. Dowling, Lillian J. Ratliff, Baosen Zhang
Modeling Curbside Parking as a Network of Finite Capacity Queues. IEEE Trans. Intell. Transp. Syst. 21 (3) (2020)
Yize Chen, Yuanyuan Shi, Baosen Zhang
Optimal Control Via Neural Networks: A Convex Approach. ICLR (Poster) (2019)
Yize Chen, Yushi Tan, Baosen Zhang
Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. e-Energy (2019)
Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang
A tractable ellipsoidal approximation for voltage regulation problems. ACC (2019)
Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang
A tractable ellipsoidal approximation for voltage regulation problems. CoRR (2019)
Daniel Tabas, Baosen Zhang
Optimal L-Infinity Frequency Control in Microgrids Considering Actuator Saturation. CoRR (2019)
Chase P. Dowling, Baosen Zhang
Mitigation of Coincident Peak Charges via Approximate Dynamic Programming. CDC (2019)
Yize Chen, Yushi Tan, Baosen Zhang
Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. CoRR (2019)
Yan Yang, Zhifang Yang, Juan Yu, Baosen Zhang
Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach. CoRR (2019)
Baosen Zhang, Ramesh Johari, Ram Rajagopal
Competition and Efficiency of Coalitions in Cournot Games With Uncertainty. IEEE Trans. Control. Netw. Syst. 6 (2) (2019)
Atinuke Ademola-Idowu, Baosen Zhang
Frequency Stability Using Inverter Power Control in Low-Inertia Power Systems. CoRR (2019)
Ling Zhang, Baosen Zhang
Scenario Forecasting of Residential Load Profiles. CoRR (2019)
Jesus E. Contreras-Ocaña, Miguel A. Ortega-Vazquez, Baosen Zhang
Participation of an Energy Storage Aggregator in Electricity Markets. IEEE Trans. Smart Grid 10 (2) (2019)
Yuanyuan Shi, Bolun Xu, Yushi Tan, Daniel S. Kirschen, Baosen Zhang
Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings. IEEE Trans. Autom. Control. 64 (6) (2019)
Pan Li, Hao Wang, Baosen Zhang
A Distributed Online Pricing Strategy for Demand Response Programs. IEEE Trans. Smart Grid 10 (1) (2019)
Yuanyuan Shi, Baosen Zhang
Learning in Cournot Games with Limited Information Feedback. CoRR (2019)
Yize Chen, Pan Li, Baosen Zhang
Bayesian renewables scenario generation via deep generative networks. CISS (2018)
Kishan Prudhvi Guddanti, Yang Weng, Baosen Zhang
Power Flow as Intersection of Circles: A new Fixed Point Method. CoRR (2018)
Aaron Jaech, Baosen Zhang, Mari Ostendorf, Daniel S. Kirschen
Real-Time Prediction of the Duration of Distribution System Outages. CoRR (2018)
Chase P. Dowling, Daniel S. Kirschen, Baosen Zhang
Coincident Peak Prediction Using a Feed-Forward Neural Network. GlobalSIP (2018)
Rajesh Pamula, Xun Sun, Sung Kim, Fahim ur Rahman, Baosen Zhang, Visvesh S. 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. VLSI Circuits (2018)
Pan Li, Shreyas Sekar, Baosen Zhang
A Capacity-Price Game for Uncertain Renewables Resources. CoRR (2018)
Pan Li, Shreyas Sekar, Baosen Zhang
A Capacity-Price Game for Uncertain Renewables Resources. e-Energy (2018)
Yize Chen, Pan Li, Baosen Zhang
Bayesian Renewables Scenario Generation via Deep Generative Networks. CoRR (2018)
Tanner Fiez, Lillian J. Ratliff, Chase Dowling, Baosen Zhang
Data Driven Spatio-Temporal Modeling of Parking Demand. ACC (2018)
Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff, Baosen Zhang
Uncertainty in Multi-Commodity Routing Networks: When does it help? ACC (2018)
Atinuke Ademola-Idowu, Baosen Zhang
Optimal Design of Virtual Inertia and Damping Coefficients for Virtual Synchronous Machines. CoRR (2018)
Yuanyuan Shi, Bolun Xu, Yushi Tan, Baosen Zhang
A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation. ACC (2018)
Hao Wang, Baosen Zhang
Energy Storage Arbitrage in Real-Time Markets Via Reinforcement Learning. CoRR (2017)
Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff, Baosen Zhang
Uncertainty in Multi-Commodity Routing Networks: When does it help? CoRR (2017)
Pan Li, Baosen Zhang
Distribution system voltage control under uncertainties. ACSSC (2017)
Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran
Deceiving Google's Perspective API Built for Detecting Toxic Comments. CoRR (2017)
Yize Chen, Yishen Wang, Daniel S. Kirschen, Baosen Zhang
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks. CoRR (2017)
Jesus E. Contreras-Ocaña, Uzma Siddiqi, Baosen Zhang
Non-Wire Alternatives to Capacity Expansion. CoRR (2017)
Nicolò Mazzi, Baosen Zhang, Daniel S. Kirschen
An Online Optimization Algorithm for Alleviating Contingencies in Meshed Networks. CoRR (2017)
Yang Weng, Ram Rajagopal, Baosen Zhang
Geometric Understanding of the Stability of Power Flow Solutions. CoRR (2017)
Yuanyuan Shi, Bolun Xu, Di Wang, Baosen Zhang
Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains. CoRR (2017)
Yuanyuan Shi, Bolun Xu, Baosen Zhang
Optimal Battery Control Under Cycle Aging Mechanisms. CoRR (2017)
Javad Lavaei, Steven H. Low, Ross Baldick, Baosen Zhang, Daniel K. Molzahn, Florian Dörfler, Henrik Sandberg
Guest Editorial Distributed Control and Efficient Optimization Methods for Smart Grid. IEEE Trans. Smart Grid 8 (6) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Baosen Zhang