Andrey Bernstein

According to our database, Andrey Bernstein authored at least 94 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Revealing Decision Conservativeness Through Inverse Distributionally Robust Optimization.

Qi Li, Zhirui Liang, Andrey Bernstein, Yury Dvorkin

IEEE Control. Syst. Lett., 2024

Feedback Optimization of Incentives for Distribution Grid Services.

Guido Cavraro, Joshua Comden, Andrey Bernstein

IEEE Control. Syst. Lett., 2024

Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior.

Adam Lechowicz, Joshua Comden, Andrey Bernstein

CoRR, 2024

Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation.

Zhirui Liang, Qi Li, Joshua Comden, Andrey Bernstein, Yury Dvorkin

CoRR, 2024

Network-Aware and Welfare-Maximizing Dynamic Pricing for Energy Sharing.

Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong

CoRR, 2024

A Decentralized Market Mechanism for Energy Communities under Operating Envelopes.

Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong

CoRR, 2024

Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation.

Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein

CoRR, 2024

2023

Frequency Shaping Control for Weakly-Coupled Grid-Forming IBRs.

Bala Kameshwar Poolla, Yashen Lin, Andrey Bernstein, Enrique Mallada, Dominic Groß

IEEE Control. Syst. Lett., 2023

Hardware-in-the-Loop Evaluation of Grid-Edge DER Chip Integration Into Next-Generation Smart Meters.

Joshua Comden, Jing Wang, Subhankar Ganguly, Steven Forsyth, Reynaldo Gomez, Andrey Bernstein

Proceedings of the IEEE International Conference on Communications, 2023

Study of Communication Boundaries of Primal-Dual-Based Distributed Energy Resource Management Systems (DERMS).

Joshua Comden, Jing Wang, Andrey Bernstein

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes.

Andrey Bernstein, Joshua Comden, Yue Chen, Jing Wang

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Ripple-Type Voltage Control for Extreme-Event Contingencies.

Ignas Satkauskas, Guido Cavraro, Andrey Bernstein

Proceedings of the American Control Conference, 2023

Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities.

Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022

Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control.

Xiangyu Zhang, Yue Chen, Andrey Bernstein, Rohit Chintala, Peter A. Graf, Xin Jin, David Biagioni

IEEE Trans. Smart Grid, 2022

Multiarea Distribution System State Estimation via Distributed Tensor Completion.

Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein

IEEE Trans. Smart Grid, 2022

Real-Time Distribution System State Estimation With Asynchronous Measurements.

Guido Cavraro, Joshua Comden, Emiliano Dall'Anese, Andrey Bernstein

IEEE Trans. Smart Grid, 2022

Efficient Region of Attraction Characterization for Control and Stabilization of Load Tap Changer Dynamics.

Bai Cui, Ahmed S. Zamzam, Guido Cavraro, Andrey Bernstein

IEEE Trans. Control. Netw. Syst., 2022

Feedback Power Cost Optimization in Power Distribution Networks With Prosumers.

Guido Cavraro, Andrey Bernstein, Ruggero Carli, Sandro Zampieri

IEEE Trans. Control. Netw. Syst., 2022

Online State Estimation for Time-Varying Systems.

Guido Cavraro, Emiliano Dall'Anese, Joshua Comden, Andrey Bernstein

IEEE Trans. Autom. Control., 2022

Running Primal-Dual Gradient Method for Time-Varying Nonconvex Problems.

Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low

SIAM J. Control. Optim., 2022

Enabling Grid-Aware Market Participation of Aggregate Flexible Resources.

Bai Cui, Ahmed S. Zamzam, Andrey Bernstein

CoRR, 2022

Multi-Area Distribution System State Estimation via Distributed Tensor Completion.

Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein

CoRR, 2022

Online data-enabled predictive control.

Stefanos Baros, Chin-Yao Chang, Gabriel E. Colón-Reyes, Andrey Bernstein

Autom., 2022

Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks.

Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch.

Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein

Proceedings of the American Control Conference, 2022

2021

Decentralized Low-Rank State Estimation for Power Distribution Systems.

April Sagan, Yajing Liu, Andrey Bernstein

IEEE Trans. Smart Grid, 2021

Economic Dispatch With Distributed Energy Resources: Co-Optimization of Transmission and Distribution Systems.

Xinyang Zhou, Chin-Yao Chang, Andrey Bernstein, Changhong Zhao, Lijun Chen

IEEE Control. Syst. Lett., 2021

Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition.

Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein

IEEE Control. Syst. Lett., 2021

Grid-Forming Frequency Shaping Control for Low-Inertia Power Systems.

Yan Jiang, Andrey Bernstein, Petr Vorobev, Enrique Mallada

IEEE Control. Syst. Lett., 2021

Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties.

Bai Cui, Ahmed S. Zamzam, Andrey Bernstein

IEEE Control. Syst. Lett., 2021

Personalized optimization with user's feedback.

Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein

Autom., 2021

Emergency Voltage Regulation in Power Systems via Ripple-Type Control.

Guido Cavraro, Manish Kumar Singh, Andrey Bernstein

Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

A Generalized LinDistFlow Model for Power Flow Analysis.

Jianqiao Huang, Bai Cui, Xinyang Zhou, Andrey Bernstein

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Substation-Level Grid Topology Optimization Using Bus Splitting.

Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein, Hao Zhu

Proceedings of the 2021 American Control Conference, 2021

Ripple-Type Control for Enhancing Resilience of Networked Physical Systems.

Manish Kumar Singh, Guido Cavraro, Andrey Bernstein, Vassilis Kekatos

Proceedings of the 2021 American Control Conference, 2021

Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation.

Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn

Proceedings of the 2021 American Control Conference, 2021

Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search.

Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin

Proceedings of the 2021 American Control Conference, 2021

2020

Matrix Completion for Low-Observability Voltage Estimation.

Priya L. Donti, Yajing Liu, Andreas Schmitt, Andrey Bernstein, Rui Yang, Yingchen Zhang

IEEE Trans. Smart Grid, 2020

Bus Clustering for Distribution Grid Topology Identification.

Guido Cavraro, Andrey Bernstein

IEEE Trans. Smart Grid, 2020

Online Optimization as a Feedback Controller: Stability and Tracking.

Marcello Colombino, Emiliano Dall'Anese, Andrey Bernstein

IEEE Trans. Control. Netw. Syst., 2020

Real-Time Identifiability of Power Distribution Network Topologies With Limited Monitoring.

Guido Cavraro, Andrey Bernstein, Vassilis Kekatos, Yingchen Zhang

IEEE Control. Syst. Lett., 2020

Grid-forming frequency shaping control.

Yan Jiang, Andrey Bernstein, Petr Vorobev, Enrique Mallada

CoRR, 2020

Online State Estimation for Systems with Asynchronous Sensors.

Guido Cavraro, Emiliano Dall'Anese, Joshua Comden, Andrey Bernstein

CoRR, 2020

A Framework for Distributed and Compositional Stability Analysis of Power Grids.

Stefanos Baros, Andrey Bernstein, Nikos D. Hatziargyriou

CoRR, 2020

Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks.

Manish Kumar Singh, Sarthak Gupta, Vassilis Kekatos, Guido Cavraro, Andrey Bernstein

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Matrix Completion Using Alternating Minimization for Distribution System State Estimation.

Yajing Liu, April Sagan, Andrey Bernstein, Rui Yang, Xinyang Zhou, Yingchen Zhang

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids.

Chin-Yao Chang, Xinyang Zhou, Andrey Bernstein

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow.

Yue Chen, Andrey Bernstein, Adithya M. Devraj, Sean P. Meyn

Proceedings of the 2020 American Control Conference, 2020

Data-Driven Linear Parameter-Varying Modeling and Control of Flexible Loads for Grid Services.

Yue Chen, Andrey Bernstein

Proceedings of the 2020 American Control Conference, 2020

Distributed Minimization of the Power Generation Cost in Prosumer-Based Distribution Networks.

Guido Cavraro, Andrey Bernstein, Ruggero Carli, Sandro Zampieri

Proceedings of the 2020 American Control Conference, 2020

Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition.

Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

A Model for Joint Probabilistic Forecast of Solar Photovoltaic Power and Outdoor Temperature.

Raksha Ramakrishna, Anna Scaglione, Vijay Vittal, Emiliano Dall'Anese, Andrey Bernstein

IEEE Trans. Signal Process., 2019

Online Primal-Dual Methods With Measurement Feedback for Time-Varying Convex Optimization.

Andrey Bernstein, Emiliano Dall'Anese, Andrea Simonetto

IEEE Trans. Signal Process., 2019

Joint Chance Constraints in AC Optimal Power Flow: Improving Bounds Through Learning.

Kyri Baker, Andrey Bernstein

IEEE Trans. Smart Grid, 2019

Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach.

Andrey Bernstein, Emiliano Dall'Anese

IEEE Trans. Control. Netw. Syst., 2019

Irradiance Field Reconstruction From Partial Observability of Solar Radiation.

Jonatan Ostrometzky, Andrey Bernstein, Gil Zussman

IEEE Geosci. Remote. Sens. Lett., 2019

On the Convergence of the Inexact Running Krasnosel'skiĭ-Mann Method.

Emiliano Dall'Anese, Andrea Simonetto, Andrey Bernstein

IEEE Control. Syst. Lett., 2019

Physics-Informed Deep Neural Network Method for Limited Observability State Estimation.

Jonatan Ostrometzky, Konstantin Berestizshevsky, Andrey Bernstein, Gil Zussman

CoRR, 2019

Aggregating Privacy-Conscious Distributed Energy Resources for Grid Service Provision.

Jun-Xing Chin, Andrey Bernstein, Gabriela Hug

CoRR, 2019

Sample Complexity of Power System State Estimation using Matrix Completion.

Joshua Comden, Marcello Colombino, Andrey Bernstein, Zhenhua Liu

Proceedings of the 2019 IEEE International Conference on Communications, 2019

State Estimation in Low-Observable Distribution Systems Using Matrix Completion.

Yingchen Zhang, Andrey Bernstein, Andreas Schmitt, Rui Yang

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Dynamic Power Network State Estimation with Asynchronous Measurements.

Guido Cavraro, Emiliano Dall'Anese, Andrey Bernstein

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Towards robustness guarantees for feedback-based optimization.

Marcello Colombino, John W. Simpson-Porco, Andrey Bernstein

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning.

Andrey Bernstein, Yue Chen, Marcello Colombino, Emiliano Dall'Anese, Prashant G. Mehta, Sean P. Meyn

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Explicit Conditions on Existence and Uniqueness of Load-Flow Solutions in Distribution Networks.

Cong Wang, Andrey Bernstein, Jean-Yves Le Boudec, Mario Paolone

IEEE Trans. Smart Grid, 2018

Experimental Validation of an Explicit Power-Flow Primary Control in Microgrids.

Lorenzo Reyes-Chamorro, Andrey Bernstein, Niek J. Bouman, Enrica Scolari, Andreas Martin Kettner, Benoit Cathiard, Jean-Yves Le Boudec, Mario Paolone

IEEE Trans. Ind. Informatics, 2018

A Primal-Dual Gradient Method for Time-Varying Optimization with Application to Power Systems.

Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low

SIGMETRICS Perform. Evaluation Rev., 2018

Joint Probabilistic Forecasts of Temperature and Solar Irradiance.

Raksha Ramakrishna, Andrey Bernstein, Emiliano Dall'Anese, Anna Scaglione

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Autonomous Energy Grids.

Benjamin Kroposki, Emiliano Dall'Anese, Andrey Bernstein, Yingchen Zhang, Bri-Mathias S. Hodge

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Joint Chance Constraints Reduction Through Learning in Active Distribution Networks.

Kyri Baker, Andrey Bernstein

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

A Feedback-Based Regularized Primal-Dual Gradient Method for Time-Varying Nonconvex Optimization.

Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources.

Md Salman Nazir, Ian A. Hiskens, Andrey Bernstein, Emiliano Dall'Anese

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Asynchronous and Distributed Tracking of Time-Varying Fixed Points.

Andrey Bernstein, Emiliano Dall'Anese

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Load-Flow in Multiphase Distribution Networks: Existence, Uniqueness, and Linear Models.

Andrey Bernstein, Cong Wang, Emiliano Dall'Anese, Jean-Yves Le Boudec, Changhong Zhao

CoRR, 2017

Bi-Level Online Control without Regret.

Andrey Bernstein

CoRR, 2017

Linear power-flow models in multiphase distribution networks.

Andrey Bernstein, Emiliano Dall'Anese

Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

Network-cognizant design of decentralized Volt/VAR controllers.

Kyri Baker, Andrey Bernstein, Changhong Zhao, Emiliano Dall'Anese

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Feedback-based projected-gradient method for real-time optimization of aggregations of energy resources.

Emiliano Dall'Anese, Andrey Bernstein, Andrea Simonetto

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Bi-level dynamic optimization with feedback.

Andrey Bernstein, Emiliano Dall'Anese

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Real-time control of an ensemble of heterogeneous resources.

Andrey Bernstein, Niek J. Bouman, Jean-Yves Le Boudec

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Real-Time Minimization of Average Error in the Presence of Uncertainty and Convexification of Feasible Sets.

Andrey Bernstein, Niek J. Bouman, Jean-Yves Le Boudec

CoRR, 2016

Aggregation of power capabilities of heterogeneous resources for real-time control of power grids.

Andrey Bernstein, Jean-Yves Le Boudec, Mario Paolone, Lorenzo Reyes-Chamorro, Wajeb Saab

Proceedings of the Power Systems Computation Conference, 2016

2015

Response-based approachability with applications to generalized no-regret problems.

Andrey Bernstein, Nahum Shimkin

J. Mach. Learn. Res., 2015

Design of Resource Agents with Guaranteed Tracking Properties for Real-Time Control of Electrical Grids.

Andrey Bernstein, Niek J. Bouman, Jean-Yves Le Boudec

CoRR, 2015

2014

Opportunistic Approachability and Generalized No-Regret Problems.

Andrey Bernstein, Shie Mannor, Nahum Shimkin

Math. Oper. Res., 2014

A Composable Method for Real-Time Control of Active Distribution Networks with Explicit Power Setpoints.

Andrey Bernstein, Lorenzo Reyes-Chamorro, Jean-Yves Le Boudec, Mario Paolone

CoRR, 2014

Power grid vulnerability to geographically correlated failures - Analysis and control implications.

Andrey Bernstein, Daniel Bienstock, David Hay, Meric Uzunoglu, Gil Zussman

Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

2013

Response-Based Approachability and its Application to Generalized No-Regret Algorithms.

Andrey Bernstein, Nahum Shimkin

CoRR, 2013

Opportunistic Strategies for Generalized No-Regret Problems.

Andrey Bernstein, Shie Mannor, Nahum Shimkin

Proceedings of the COLT 2013, 2013

2012

Sensitivity analysis of the power grid vulnerability to large-scale cascading failures.

Andrey Bernstein, Daniel Bienstock, David Hay, Meric Uzunoglu, Gil Zussman

SIGMETRICS Perform. Evaluation Rev., 2012

2011

Performance evaluation of resource allocation policies for energy harvesting devices.

Maria Gorlatova, Andrey Bernstein, Gil Zussman

Proceedings of the 9th International Symposium on Modeling and Optimization in Mobile, 2011

2010

Adaptive-resolution reinforcement learning with polynomial exploration in deterministic domains.

Andrey Bernstein, Nahum Shimkin

Mach. Learn., 2010

Online Classification with Specificity Constraints.

Andrey Bernstein, Shie Mannor, Nahum Shimkin

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008

Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains.

Andrey Bernstein, Nahum Shimkin

Proceedings of the 21st Annual Conference on Learning Theory, 2008