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2020 – today
- 2024
- [i84]Yan Jiang, Hancheng Min, Baosen Zhang:
Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation. CoRR abs/2402.16765 (2024) - [i83]Jiayi Li, Matthew Motoki, Baosen Zhang:
Balancing Fairness and Efficiency in Energy Resource Allocations. CoRR abs/2403.15616 (2024) - [i82]Trager Joswig-Jones, Baosen Zhang:
Safe Control of Grid-Interfacing Inverters with Current Magnitude Limits. CoRR abs/2409.13890 (2024) - [i81]Nicolas Christianson, Wenqi Cui, Steven H. Low, Weiwei Yang, Baosen Zhang:
Fast and Reliable N-k Contingency Screening with Input-Convex Neural Networks. CoRR abs/2410.00796 (2024) - [i80]Jiayi Li, Matthew Motoki, Baosen Zhang:
Strategic and Fair Aggregator Interactions in Energy Markets: Mutli-agent Dynamics and Quasiconcave Games. CoRR abs/2410.11296 (2024) - 2023
- [j21]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): 1121 (2023) - [j20]Chunjiang Li
Morphology Dynamics of Ice Cover in a River Bend Revealed by the UAV-GPR and Sentinel-2. Remote. Sens. 15(12): 3180 (2023) - [j19]Xiuwei Zhang, Zixu Zhao, Lingyan Ran
FastICENet: A real-time and accurate semantic segmentation model for aerial remote sensing river ice image. Signal Process. 212: 109150 (2023) - [c43]Wenqi Cui, Guanya Shi, Yuanyuan Shi, Baosen Zhang:
Leveraging Predictions in Power System Frequency Control: An Adaptive Approach. CDC 2023: 570-576 - [c42]Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés:
Equilibria of Fully Decentralized Learning in Networked Systems. L4DC 2023: 333-345 - [c41]Wenqi Cui, Linbin Huang, Weiwei Yang, Baosen Zhang:
Efficient Reinforcement Learning Through Trajectory Generation. L4DC 2023: 371-382 - [c40]Daniel Tabas, Ahmed S. Zamzam, Baosen Zhang:
Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning. L4DC 2023: 1205-1217 - [c39]Wenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi:
Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees. NeurIPS 2023 - [i79]Jochen Stiasny, Spyros Chatzivasileiadis, Baosen Zhang:
Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition. CoRR abs/2303.10256 (2023) - [i78]Ling Zhang, Daniel Tabas, Baosen Zhang:
An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees. CoRR abs/2304.01409 (2023) - [i77]Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés:
Equilibria of Fully Decentralized Learning in Networked Systems. CoRR abs/2305.09002 (2023) - [i76]Wenqi Cui, Guanya Shi, Yuanyuan Shi, Baosen Zhang:
Leveraging Predictions in Power System Frequency Control: an Adaptive Approach. CoRR abs/2305.12044 (2023) - [i75]Wenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi:
Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees. CoRR abs/2305.17777 (2023) - [i74]Trager Joswig-Jones, Baosen Zhang:
Optimal Control of Grid-Interfacing Inverters With Current Magnitude Limits. CoRR abs/2310.00473 (2023) - [i73]Ling Zhang, Daniel Tabas, Baosen Zhang:
Convex Restriction of Feasible Sets for AC Radial Networks. CoRR abs/2310.00549 (2023) - [i72]Jiayi Li, Matthew Motoki, Baosen Zhang:
Socially Optimal Energy Usage via Adaptive Pricing. CoRR abs/2310.13254 (2023) - [i71]Zixiao Ma, Baosen Zhang:
Controlling Grid-Connected Inverters under Time-Varying Voltage Constraints. CoRR abs/2311.11510 (2023) - 2022
- [j18]Wenqi Cui
Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability. IEEE Control. Syst. Lett. 6: 974-979 (2022) - [j17]Wenqi Cui
Equilibrium-Independent Stability Analysis for Distribution Systems With Lossy Transmission Lines. IEEE Control. Syst. Lett. 6: 3349-3354 (2022) - [j16]Yu Deng
Dynamic and Full-Time Acquisition Technology and Method of Ice Data of Yellow River. Sensors 22(1): 176 (2022) - [j15]Ling Zhang, Yize Chen
A Convex Neural Network Solver for DCOPF With Generalization Guarantees. IEEE Trans. Control. Netw. Syst. 9(2): 719-730 (2022) - [j14]Sina Taheri
Data-Driven Modeling of Aggregate Flexibility Under Uncertain and Non-Convex Device Models. IEEE Trans. Smart Grid 13(6): 4572-4582 (2022) - [j13]Pan Li, Shreyas Sekar
A Capacity-Price Game for Uncertain Renewables Resources. IEEE Trans. Sustain. Comput. 7(3): 527-536 (2022) - [c38]Daniel Tabas, Baosen Zhang:
Computationally Efficient Safe Reinforcement Learning for Power Systems. ACC 2022: 3303-3310 - [c37]Wenqi Cui, Jiayi Li, Baosen Zhang:
Decentralized Safe Reinforcement Learning for Voltage Control. ACC 2022: 3351 - [c36]Daniel Tabas, Baosen Zhang:
Safe and Efficient Model Predictive Control Using Neural Networks: An Interior Point Approach. CDC 2022: 1142-1147 - [c35]Ling Zhang, Baosen Zhang:
An iterative approach to improving solution quality for AC optimal power flow problems. e-Energy 2022: 289-301 - [i70]Sina Taheri, Vassilis Kekatos, Harsha Veeramachaneni, Baosen Zhang:
Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models. CoRR abs/2201.11952 (2022) - [i69]Wenqi Cui, Baosen Zhang:
Equilibrium-Independent Stability Analysis for Distribution Systems with Lossy Transmission Lines. CoRR abs/2203.04580 (2022) - [i68]Daniel Tabas, Baosen Zhang:
Safe and Efficient Model Predictive Control Using Neural Networks: An Interior Point Approach. CoRR abs/2203.12196 (2022) - [i67]Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés:
Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach. CoRR abs/2205.00411 (2022) - [i66]Wenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi:
Structured Neural-PI Control for Networked Systems: Stability and Steady-State Optimality Guarantees. CoRR abs/2206.00261 (2022) - [i65]Bosong Li
Cyber-Physical Attack Leveraging Subsynchronous Resonance. CoRR abs/2207.04149 (2022) - [i64]Atinuke Ademola-Idowu, Baosen Zhang:
Optimal Inverter-Based Resources Placement in Low-Inertia Power Systems. CoRR abs/2210.15839 (2022) - [i63]Daniel Tabas, Ahmed S. Zamzam, Baosen Zhang:
Interpreting Primal-Dual Algorithms for Constrained MARL. CoRR abs/2211.16069 (2022) - [i62]Wenqi Cui, Linbin Huang, Weiwei Yang, Baosen Zhang:
Efficient Reinforcement Learning Through Trajectory Generation. CoRR abs/2211.17249 (2022) - 2021
- [c34]Liyuan Zheng, Yuanyuan Shi, Lillian J. Ratliff, Baosen Zhang:
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks. L4DC 2021: 336-347 - [c33]Yize Chen, Yushi Tan, Ling Zhang, Baosen Zhang:
Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks. SmartGridComm 2021: 398-404 - [i61]Ling Zhang, Baosen Zhang:
An Iterative Approach to Finding Global Solutions of AC Optimal Power Flow Problems. CoRR abs/2102.12075 (2021) - [i60]Wenqi Cui, Baosen Zhang:
Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability. CoRR abs/2103.03869 (2021) - [i59]Ling Zhang, Baosen Zhang:
An Iterative Approach to Improving Solution Quality for AC Optimal Power Flow Problems. CoRR abs/2109.06356 (2021) - [i58]Wenqi Cui, Jiayi Li, Baosen Zhang:
Decentralized Safe Reinforcement Learning for Voltage Control. CoRR abs/2110.01126 (2021) - [i57]Ling Zhang, Baosen Zhang:
Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach. CoRR abs/2110.01653 (2021) - [i56]Daniel Tabas, Baosen Zhang:
Computationally Efficient Safe Reinforcement Learning for Power Systems. CoRR abs/2110.10333 (2021) - [i55]Wenqi Cui, Weiwei Yang, Baosen Zhang:
Predicting Power System Dynamics and Transients: A Frequency Domain Approach. CoRR abs/2111.01103 (2021) - [i54]Yize Chen, Baosen Zhang:
State-of-Charge Aware EV Charging. CoRR abs/2111.15147 (2021) - 2020
- [j12]Ling Zhang, Baosen Zhang
Scenario Forecasting of Residential Load Profiles. IEEE J. Sel. Areas Commun. 38(1): 84-95 (2020) - [j11]Shreyas Sekar
Uncertainty in Multicommodity Routing Networks: When Does It Help? IEEE Trans. Autom. Control. 65(11): 4600-4615 (2020) - [j10]Chase P. Dowling
Modeling Curbside Parking as a Network of Finite Capacity Queues. IEEE Trans. Intell. Transp. Syst. 21(3): 1011-1022 (2020) - [j9]Yaohua Cheng
Low-Carbon Operation of Multiple Energy Systems Based on Energy-Carbon Integrated Prices. IEEE Trans. Smart Grid 11(2): 1307-1318 (2020) - [j8]Yan Yang
Fast Calculation of Probabilistic Power Flow: A Model-Based Deep Learning Approach. IEEE Trans. Smart Grid 11(3): 2235-2244 (2020) - [j7]Yang Weng
A Geometric Analysis of Power System Loadability Regions. IEEE Trans. Smart Grid 11(4): 3580-3592 (2020) - [c32]Chase P. Dowling, Baosen Zhang:
Transfer Learning for HVAC System Fault Detection. ACC 2020: 3879-3885 - [c31]Yuanyuan Shi, Baosen Zhang:
Multi-Agent Reinforcement Learning in Cournot Games. CDC 2020: 3561-3566 - [i53]Chase P. Dowling, Baosen Zhang:
Transfer Learning for HVAC System Fault Detection. CoRR abs/2002.01060 (2020) - [i52]Liyuan Zheng, Yuanyuan Shi, Lillian J. Ratliff, Baosen Zhang:
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks. CoRR abs/2003.09488 (2020) - [i51]Wenqi Cui, Baosen Zhang:
Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach. CoRR abs/2009.05654 (2020) - [i50]Yuanyuan Shi, Baosen Zhang:
Multi-Agent Reinforcement Learning in Cournot Games. CoRR abs/2009.06224 (2020) - [i49]Ling Zhang, Yize Chen
A Convex Neural Network Solver for DCOPF with Generalization Guarantees. CoRR abs/2009.09109 (2020) - [i48]Daniel Tabas, Baosen Zhang:
Consensus-Based Set-Theoretic Control in Power Systems. CoRR abs/2011.04361 (2020)
2010 – 2019
- 2019
- [j6]Yuanyuan Shi
Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings. IEEE Trans. Autom. Control. 64(6): 2324-2339 (2019) - [j5]Baosen Zhang
Competition and Efficiency of Coalitions in Cournot Games With Uncertainty. IEEE Trans. Control. Netw. Syst. 6(2): 884-896 (2019) - [j4]Pan Li, Hao Wang
A Distributed Online Pricing Strategy for Demand Response Programs. IEEE Trans. Smart Grid 10(1): 350-360 (2019) - [j3]Jesus E. Contreras-Ocaña
Participation of an Energy Storage Aggregator in Electricity Markets. IEEE Trans. Smart Grid 10(2): 1171-1183 (2019) - [c30]Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang:
A tractable ellipsoidal approximation for voltage regulation problems. ACC 2019: 1301-1306 - [c29]Chase P. Dowling, Baosen Zhang:
Mitigation of Coincident Peak Charges via Approximate Dynamic Programming. CDC 2019: 4202-4207 - [c28]Yize Chen, Yushi Tan, Baosen Zhang:
Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. e-Energy 2019: 1-11 - [c27]Yize Chen, Yuanyuan Shi, Baosen Zhang:
Optimal Control Via Neural Networks: A Convex Approach. ICLR (Poster) 2019 - [i47]Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang:
A tractable ellipsoidal approximation for voltage regulation problems. CoRR abs/1903.03763 (2019) - [i46]Yize Chen
Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. CoRR abs/1904.06606 (2019) - [i45]Yan Yang, Zhifang Yang, Juan Yu, Baosen Zhang:
Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach. CoRR abs/1906.06017 (2019) - [i44]Yuanyuan Shi, Baosen Zhang:
Learning in Cournot Games with Limited Information Feedback. CoRR abs/1906.06612 (2019) - [i43]Ling Zhang, Baosen Zhang:
Scenario Forecasting of Residential Load Profiles. CoRR abs/1906.07373 (2019) - [i42]Atinuke Ademola-Idowu, Baosen Zhang:
Frequency Stability Using Inverter Power Control in Low-Inertia Power Systems. CoRR abs/1909.12810 (2019) - [i41]Daniel Tabas, Baosen Zhang:
Optimal L-Infinity Frequency Control in Microgrids Considering Actuator Saturation. CoRR abs/1910.03720 (2019) - 2018
- [c26]Tanner Fiez, Lillian J. Ratliff
Data Driven Spatio-Temporal Modeling of Parking Demand. ACC 2018: 2757-2762 - [c25]Yuanyuan Shi, Bolun Xu, Yushi Tan, Baosen Zhang:
A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation. ACC 2018: 4590-4596 - [c24]Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff
Uncertainty in Multi-Commodity Routing Networks: When does it help? ACC 2018: 6553-6558 - [c23]Yize Chen, Pan Li, Baosen Zhang:
Bayesian renewables scenario generation via deep generative networks. CISS 2018: 1-6 - [c22]Pan Li, Shreyas Sekar, Baosen Zhang:
A Capacity-Price Game for Uncertain Renewables Resources. e-Energy 2018: 119-133 - [c21]Chase P. Dowling, Daniel S. Kirschen, Baosen Zhang:
Coincident Peak Prediction Using a Feed-Forward Neural Network. GlobalSIP 2018: 912-916 - [c20]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: 1-2 - [i40]Yize Chen
Bayesian Renewables Scenario Generation via Deep Generative Networks. CoRR abs/1802.00868 (2018) - [i39]Aaron Jaech, Baosen Zhang, Mari Ostendorf, Daniel S. Kirschen:
Real-Time Prediction of the Duration of Distribution System Outages. CoRR abs/1804.01189 (2018) - [i38]Pan Li, Shreyas Sekar, Baosen Zhang:
A Capacity-Price Game for Uncertain Renewables Resources. CoRR abs/1804.06496 (2018) - [i37]Atinuke Ademola-Idowu, Baosen Zhang:
Optimal Design of Virtual Inertia and Damping Coefficients for Virtual Synchronous Machines. CoRR abs/1806.08488 (2018) - [i36]Kishan Prudhvi Guddanti, Yang Weng, Baosen Zhang:
Power Flow as Intersection of Circles: A new Fixed Point Method. CoRR abs/1810.05898 (2018) - 2017
- [j2]Javad Lavaei, Steven H. Low, Ross Baldick, Baosen Zhang, Daniel K. Molzahn, Florian Dörfler
Guest Editorial Distributed Control and Efficient Optimization Methods for Smart Grid. IEEE Trans. Smart Grid 8(6): 2939-2940 (2017) - [c19]Carlos Riquelme, Ramesh Johari, Baosen Zhang:
Online Active Linear Regression via Thresholding. AAAI 2017: 2506-2512 - [c18]Pan Li, Baosen Zhang:
Distribution system voltage control under uncertainties. ACSSC 2017: 659-663 - [c17]Yize Chen, Yuanyuan Shi, Baosen Zhang:
Modeling and optimization of complex building energy systems with deep neural networks. ACSSC 2017: 1368-1373 - [c16]Bolun Xu, Yuanyuan Shi, Daniel S. Kirschen
Optimal regulation response of batteries under cycle aging mechanisms. CDC 2017: 751-756 - [c15]Chase Dowling, Tanner Fiez, Lillian J. Ratliff
Optimizing curbside parking resources subject to congestion constraints. CDC 2017: 5080-5085 - [i35]Pan Li, Hao Wang, Baosen Zhang:
A Distributed Online Pricing Strategy for Demand Response Programs. CoRR abs/1702.05551 (2017) - [i34]Chase Dowling, Tanner Fiez, Lillian J. Ratliff, Baosen Zhang:
How Much Urban Traffic is Searching for Parking? CoRR abs/1702.06156 (2017) - [i33]Yuanyuan Shi, Bolun Xu, Di Wang, Baosen Zhang:
Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains. CoRR abs/1702.08065 (2017) - [i32]Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran:
Deceiving Google's Perspective API Built for Detecting Toxic Comments. CoRR abs/1702.08138 (2017) - [i31]Hossein Hosseini, Yize Chen, Sreeram Kannan, Baosen Zhang, Radha Poovendran:
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems. CoRR abs/1703.04318 (2017) - [i30]Yuanyuan Shi, Bolun Xu, Yushi Tan, Baosen Zhang:
A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation. CoRR abs/1703.07968 (2017) - [i29]Pan Li, Baosen Zhang:
Distribution System Voltage Control under Uncertainties. CoRR abs/1704.08999 (2017) - [i28]Yang Weng, Ram Rajagopal, Baosen Zhang:
Geometric Understanding of the Stability of Power Flow Solutions. CoRR abs/1706.07401 (2017) - [i27]Pan Li, Baosen Zhang:
Linear Estimation of Treatment Effects in Demand Response: An Experimental Design Approach. CoRR abs/1706.09835 (2017) - [i26]Yize Chen
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks. CoRR abs/1707.09676 (2017) - [i25]Jesus E. Contreras-Ocaña, Miguel A. Ortega-Vazquez, Baosen Zhang:
Participation of an Energy Storage Aggregator in Electricity Markets. CoRR abs/1708.00989 (2017) - [i24]Nicolò Mazzi, Baosen Zhang, Daniel S. Kirschen:
An Online Optimization Algorithm for Alleviating Contingencies in Meshed Networks. CoRR abs/1709.03965 (2017) - [i23]Yuanyuan Shi, Bolun Xu, Baosen Zhang:
Optimal Battery Control Under Cycle Aging Mechanisms. CoRR abs/1709.05715 (2017) - [i22]Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff, Baosen Zhang:
Uncertainty in Multi-Commodity Routing Networks: When does it help? CoRR abs/1709.08441 (2017) - [i21]Jesus E. Contreras-Ocaña, Uzma Siddiqi, Baosen Zhang:
Non-Wire Alternatives to Capacity Expansion. CoRR abs/1711.01349 (2017) - [i20]Hao Wang, Baosen Zhang:
Energy Storage Arbitrage in Real-Time Markets Via Reinforcement Learning. CoRR abs/1711.03127 (2017) - 2016
- [c14]Pan Li, Baosen Zhang:
An optimal treatment assignment strategy to evaluate demand response effect. Allerton 2016: 703-710 - [c13]Lillian J. Ratliff
To observe or not to observe: Queuing game framework for urban parking. CDC 2016: 5286-5291 - [c12]Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran
Learning Temporal Dependence from Time-Series Data with Latent Variables. DSAA 2016: 253-262 - [c11]Yuanyuan Shi, Bolun Xu, Baosen Zhang, Di Wang:
Leveraging energy storage to optimize data center electricity cost in emerging power markets. e-Energy 2016: 18:1-18:13 - [c10]Pan Li, Baosen Zhang:
Estimating treatment effects in demand response. SSP 2016: 1-5 - [i19]Carlos Riquelme, Ramesh Johari, Baosen Zhang:
Online Active Linear Regression via Thresholding. CoRR abs/1602.02845 (2016) - [i18]Lillian J. Ratliff, Chase Dowling, Eric Mazumdar, Baosen Zhang:
To Observe or Not to Observe: Queuing Game Framework for Urban Parking. CoRR abs/1603.08995 (2016) - [i17]Yuanyuan Shi, Bolun Xu, Baosen Zhang, Di Wang:
Leveraging energy storage to optimize data center electricity cost in emerging power markets. CoRR abs/1606.01536 (2016) - [i16]Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran:
Learning Temporal Dependence from Time-Series Data with Latent Variables. CoRR abs/1608.07636 (2016) - [i15]Pan Li, Baosen Zhang:
An Optimal Treatment Assignment Strategy to Evaluate Demand Response Effect. CoRR abs/1610.00362 (2016) - 2015
- [c9]Gustavo Cezar, Ram Rajagopal, Baosen Zhang:
Stability of interconnected DC converters. CDC 2015: 9-14 - [i14]Baosen Zhang, Ramesh Johari, Ram Rajagopal:
Competition and Coalition Formation of Renewable Power Producers. CoRR abs/1502.00679 (2015) - [i13]Baosen Zhang, Ramesh Johari, Ram Rajagopal:
Cournot Games with Uncertainty: Coalitions, Competition, and Efficiency. CoRR abs/1503.02479 (2015) - [i12]Gustavo Cezar, Ram Rajagopal, Baosen Zhang:
Stability of Interconnected DC Converters. CoRR abs/1503.08383 (2015) - [i11]Pan Li, Baosen Zhang, Yang Weng, Ram Rajagopal:
Autoregressive Model for Individual Consumption Data - LASSO Selection and Significance Test. CoRR abs/1511.01853 (2015) - [i10]Jesus E. Contreras-Ocaña, Miguel A. Ortega-Vazquez, Baosen Zhang:
Cooperation and Competition among Energy Storages. CoRR abs/1511.02201 (2015) - 2014
- [j1]Baosen Zhang, Ram Rajagopal, David N. C. Tse:
Network Risk Limiting Dispatch: Optimal Control and Price of Uncertainty. IEEE Trans. Autom. Control. 59(9): 2442-2456 (2014) - 2013
- [c8]Baosen Zhang, Ram Rajagopal, David Tse:
Risk Limiting Dispatch in congested networks. CDC 2013: 7568-7575 - [c7]Junjie Qin, Baosen Zhang, Ram Rajagopal:
Risk limiting dispatch with ramping constraints. SmartGridComm 2013: 791-796 - [i9]Junjie Qin, Baosen Zhang, Ram Rajagopal:
Risk Limiting Dispatch with Ramping Constraints. CoRR abs/1305.4372 (2013) - [i8]Baosen Zhang, Alejandro D. Domínguez-García, David Tse:
A Local Control Approach to Voltage Regulation in Distribution Networks. CoRR abs/1307.0855 (2013) - [i7]Sid Patel, Raffi Sevlian, Baosen Zhang, Ram Rajagopal:
Aggregation for Load Servicing. CoRR abs/1312.1243 (2013) - 2012
- [c6]Ram Rajagopal, David Tse, Baosen Zhang:
Risk limiting dispatch in congested networks. Allerton Conference 2012: 1900-1907 - [c5]Albert Y. S. Lam, Baosen Zhang, David N. C. Tse:
Distributed algorithms for optimal power flow problem. CDC 2012: 430-437 - [i6]Javad Lavaei, David Tse, Baosen Zhang:
Geometry of Power Flows in Tree Networks. CoRR abs/1204.4419 (2012) - [i5]Albert Y. S. Lam, Baosen Zhang, Alejandro D. Domínguez-García, David Tse:
Optimal Distributed Voltage Regulation in Power Distribution Networks. CoRR abs/1204.5226 (2012) - [i4]Ram Rajagopal, Baosen Zhang, David Tse:
Network Risk Limiting Dispatch: Optimal Control and Price of Uncertainty. CoRR abs/1212.4898 (2012) - 2011
- [c4]Yashodhan Kanoria, Andrea Montanari, David Tse, Baosen Zhang:
Distributed storage for intermittent energy sources: Control design and performance limits. Allerton 2011: 1310-1317 - [c3]Baosen Zhang, David Tse:
Geometry of feasible injection region of power networks. Allerton 2011: 1508-1515 - [i3]Baosen Zhang, David Tse:
Geometry of Feasible Injection Region of Power Networks. CoRR abs/1107.1467 (2011) - [i2]Albert Y. S. Lam, Baosen Zhang, David Tse:
Distributed Algorithms for Optimal Power Flow Problem. CoRR abs/1109.5229 (2011) - [i1]Yashodhan Kanoria, Andrea Montanari, David Tse, Baosen Zhang:
Distributed Storage for Intermittent Energy Sources: Control Design and Performance Limits. CoRR abs/1110.4441 (2011) - 2010
- [c2]Baosen Zhang, Mitchell D. Trott:
Reference-free audio matching for rendezvous. ICASSP 2010: 3570-3573
2000 – 2009
- 2008
- [c1]Baosen Zhang, Scott B. Kuntze, Lacra Pavel
Delay-tolerant control design for Semiconductor Optical Amplifiers. ACC 2008: 4154-4160
Coauthor Index
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