Baosen Zhang

Orcid: 0000-0003-4065-7341

According to our database1, Baosen Zhang authored at least 111 papers between 2008 and 2024.

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Bibliography

2024
Strategic and Fair Aggregator Interactions in Energy Markets: Mutli-agent Dynamics and Quasiconcave Games.
CoRR, 2024

Fast and Reliable N-k Contingency Screening with Input-Convex Neural Networks.
CoRR, 2024

Safe Control of Grid-Interfacing Inverters with Current Magnitude Limits.
CoRR, 2024

Balancing Fairness and Efficiency in Energy Resource Allocations.
CoRR, 2024

Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation.
CoRR, 2024

2023
FastICENet: A real-time and accurate semantic segmentation model for aerial remote sensing river ice image.
Signal Process., November, 2023

Morphology Dynamics of Ice Cover in a River Bend Revealed by the UAV-GPR and Sentinel-2.
Remote. Sens., June, 2023

Physical Mechanism and Parameterization for Correcting Radar Wave Velocity in Yellow River Ice with Air Temperature and Ice Thickness.
Remote. Sens., February, 2023

Controlling Grid-Connected Inverters under Time-Varying Voltage Constraints.
CoRR, 2023

Socially Optimal Energy Usage via Adaptive Pricing.
CoRR, 2023

Convex Restriction of Feasible Sets for AC Radial Networks.
CoRR, 2023

Optimal Control of Grid-Interfacing Inverters With Current Magnitude Limits.
CoRR, 2023

An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees.
CoRR, 2023

Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition.
CoRR, 2023

Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Equilibria of Fully Decentralized Learning in Networked Systems.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Efficient Reinforcement Learning Through Trajectory Generation.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Leveraging Predictions in Power System Frequency Control: An Adaptive Approach.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
A Capacity-Price Game for Uncertain Renewables Resources.
IEEE Trans. Sustain. Comput., 2022

Data-Driven Modeling of Aggregate Flexibility Under Uncertain and Non-Convex Device Models.
IEEE Trans. Smart Grid, 2022

A Convex Neural Network Solver for DCOPF With Generalization Guarantees.
IEEE Trans. Control. Netw. Syst., 2022

Dynamic and Full-Time Acquisition Technology and Method of Ice Data of Yellow River.
Sensors, 2022

Equilibrium-Independent Stability Analysis for Distribution Systems With Lossy Transmission Lines.
IEEE Control. Syst. Lett., 2022

Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability.
IEEE Control. Syst. Lett., 2022

Interpreting Primal-Dual Algorithms for Constrained MARL.
CoRR, 2022

Optimal Inverter-Based Resources Placement in Low-Inertia Power Systems.
CoRR, 2022

Cyber-Physical Attack Leveraging Subsynchronous Resonance.
CoRR, 2022

Structured Neural-PI Control for Networked Systems: Stability and Steady-State Optimality Guarantees.
CoRR, 2022

Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach.
CoRR, 2022

Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models.
CoRR, 2022

An iterative approach to improving solution quality for AC optimal power flow problems.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

Safe and Efficient Model Predictive Control Using Neural Networks: An Interior Point Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Computationally Efficient Safe Reinforcement Learning for Power Systems.
Proceedings of the American Control Conference, 2022

Decentralized Safe Reinforcement Learning for Voltage Control.
Proceedings of the American Control Conference, 2022

2021
State-of-Charge Aware EV Charging.
CoRR, 2021

Predicting Power System Dynamics and Transients: A Frequency Domain Approach.
CoRR, 2021

Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach.
CoRR, 2021

An Iterative Approach to Finding Global Solutions of AC Optimal Power Flow Problems.
CoRR, 2021

Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks.
Proceedings of the IEEE International Conference on Communications, 2021

Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020
Fast Calculation of Probabilistic Power Flow: A Model-Based Deep Learning Approach.
IEEE Trans. Smart Grid, 2020

A Geometric Analysis of Power System Loadability Regions.
IEEE Trans. Smart Grid, 2020

Low-Carbon Operation of Multiple Energy Systems Based on Energy-Carbon Integrated Prices.
IEEE Trans. Smart Grid, 2020

Modeling Curbside Parking as a Network of Finite Capacity Queues.
IEEE Trans. Intell. Transp. Syst., 2020

Uncertainty in Multicommodity Routing Networks: When Does It Help?
IEEE Trans. Autom. Control., 2020

Scenario Forecasting of Residential Load Profiles.
IEEE J. Sel. Areas Commun., 2020

Consensus-Based Set-Theoretic Control in Power Systems.
CoRR, 2020

Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach.
CoRR, 2020

Multi-Agent Reinforcement Learning in Cournot Games.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Transfer Learning for HVAC System Fault Detection.
Proceedings of the 2020 American Control Conference, 2020

2019
A Distributed Online Pricing Strategy for Demand Response Programs.
IEEE Trans. Smart Grid, 2019

Participation of an Energy Storage Aggregator in Electricity Markets.
IEEE Trans. Smart Grid, 2019

Competition and Efficiency of Coalitions in Cournot Games With Uncertainty.
IEEE Trans. Control. Netw. Syst., 2019

Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings.
IEEE Trans. Autom. Control., 2019

Optimal L-Infinity Frequency Control in Microgrids Considering Actuator Saturation.
CoRR, 2019

Frequency Stability Using Inverter Power Control in Low-Inertia Power Systems.
CoRR, 2019

Learning in Cournot Games with Limited Information Feedback.
CoRR, 2019

Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach.
CoRR, 2019

Optimal Control Via Neural Networks: A Convex Approach.
Proceedings of the 7th International Conference on Learning Representations, 2019

Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Mitigation of Coincident Peak Charges via Approximate Dynamic Programming.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A tractable ellipsoidal approximation for voltage regulation problems.
Proceedings of the 2019 American Control Conference, 2019

2018
Power Flow as Intersection of Circles: A new Fixed Point Method.
CoRR, 2018

Optimal Design of Virtual Inertia and Damping Coefficients for Virtual Synchronous Machines.
CoRR, 2018

Real-Time Prediction of the Duration of Distribution System Outages.
CoRR, 2018

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.
Proceedings of the 2018 IEEE Symposium on VLSI Circuits, 2018

Coincident Peak Prediction Using a Feed-Forward Neural Network.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Bayesian renewables scenario generation via deep generative networks.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation.
Proceedings of the 2018 Annual American Control Conference, 2018

Uncertainty in Multi-Commodity Routing Networks: When does it help?
Proceedings of the 2018 Annual American Control Conference, 2018

Data Driven Spatio-Temporal Modeling of Parking Demand.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Guest Editorial Distributed Control and Efficient Optimization Methods for Smart Grid.
IEEE Trans. Smart Grid, 2017

Energy Storage Arbitrage in Real-Time Markets Via Reinforcement Learning.
CoRR, 2017

Non-Wire Alternatives to Capacity Expansion.
CoRR, 2017

Optimal Battery Control Under Cycle Aging Mechanisms.
CoRR, 2017

An Online Optimization Algorithm for Alleviating Contingencies in Meshed Networks.
CoRR, 2017

Geometric Understanding of the Stability of Power Flow Solutions.
CoRR, 2017

Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains.
CoRR, 2017

Linear Estimation of Treatment Effects in Demand Response: An Experimental Design Approach.
CoRR, 2017

Deceiving Google's Perspective API Built for Detecting Toxic Comments.
CoRR, 2017

Blocking Transferability of Adversarial Examples in Black-Box Learning Systems.
CoRR, 2017

How Much Urban Traffic is Searching for Parking?
CoRR, 2017

Model-Free Renewable Scenario Generation Using Generative Adversarial Networks.
CoRR, 2017

Optimal regulation response of batteries under cycle aging mechanisms.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Optimizing curbside parking resources subject to congestion constraints.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Distribution system voltage control under uncertainties.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Modeling and optimization of complex building energy systems with deep neural networks.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Online Active Linear Regression via Thresholding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Estimating treatment effects in demand response.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Leveraging energy storage to optimize data center electricity cost in emerging power markets.
Proceedings of the Seventh International Conference on Future Energy Systems, Waterloo, ON, Canada, June 21, 2016

Learning Temporal Dependence from Time-Series Data with Latent Variables.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

To observe or not to observe: Queuing game framework for urban parking.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

An optimal treatment assignment strategy to evaluate demand response effect.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Cournot Games with Uncertainty: Coalitions, Competition, and Efficiency.
CoRR, 2015

Competition and Coalition Formation of Renewable Power Producers.
CoRR, 2015

Autoregressive Model for Individual Consumption Data - LASSO Selection and Significance Test.
CoRR, 2015

Cooperation and Competition among Energy Storages.
CoRR, 2015

Stability of interconnected DC converters.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Network Risk Limiting Dispatch: Optimal Control and Price of Uncertainty.
IEEE Trans. Autom. Control., 2014

2013
A Local Control Approach to Voltage Regulation in Distribution Networks.
CoRR, 2013

Aggregation for Load Servicing.
CoRR, 2013

Risk limiting dispatch with ramping constraints.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Risk Limiting Dispatch in congested networks.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Optimal Distributed Voltage Regulation in Power Distribution Networks
CoRR, 2012

Geometry of Power Flows in Tree Networks
CoRR, 2012

Distributed algorithms for optimal power flow problem.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Geometry of feasible injection region of power networks.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Distributed storage for intermittent energy sources: Control design and performance limits.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Reference-free audio matching for rendezvous.
Proceedings of the IEEE International Conference on Acoustics, 2010

2008
Delay-tolerant control design for Semiconductor Optical Amplifiers.
Proceedings of the American Control Conference, 2008


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