Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains. - Andrey Bernstein; Nahum Shimkin (COLT, 2008)

Online Classification with Specificity Constraints. - Andrey Bernstein; Shie Mannor; Nahum Shimkin (NIPS, 2010)

Adaptive-resolution reinforcement learning with polynomial exploration in deterministic domains. - Andrey Bernstein; Nahum Shimkin (Mach. Learn., 2010)

Performance evaluation of resource allocation policies for energy harvesting devices. - Maria Gorlatova; Andrey Bernstein; Gil Zussman (WiOpt, 2011)

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)

Opportunistic Strategies for Generalized No-Regret Problems. - Andrey Bernstein; Shie Mannor; Nahum Shimkin (COLT, 2013)

Response-Based Approachability and its Application to Generalized No-Regret Algorithms. - Andrey Bernstein; Nahum Shimkin (CoRR, 2013)

Power grid vulnerability to geographically correlated failures - Analysis and control implications. - Andrey Bernstein; Daniel Bienstock; David Hay; Meric Uzunoglu; Gil Zussman (INFOCOM, 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)

Opportunistic Approachability and Generalized No-Regret Problems. - Andrey Bernstein; Shie Mannor; Nahum Shimkin (Math. Oper. Res., 2014)

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)

Response-based approachability with applications to generalized no-regret problems. - Andrey Bernstein; Nahum Shimkin (J. Mach. Learn. Res., 2015)

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 (PSCC, 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)

Real-time control of an ensemble of heterogeneous resources. - Andrey Bernstein; Niek J. Bouman; Jean-Yves Le Boudec (CDC, 2017)

Bi-level dynamic optimization with feedback. - Andrey Bernstein; Emiliano Dall'Anese (GlobalSIP, 2017)

Feedback-based projected-gradient method for real-time optimization of aggregations of energy resources. - Emiliano Dall'Anese; Andrey Bernstein; Andrea Simonetto (GlobalSIP, 2017)

Network-cognizant design of decentralized Volt/VAR controllers. - Kyri Baker; Andrey Bernstein; Changhong Zhao; Emiliano Dall'Anese (ISGT, 2017)

Linear power-flow models in multiphase distribution networks. - Andrey Bernstein; Emiliano Dall'Anese (ISGT Europe, 2017)

Bi-Level Online Control without Regret. - Andrey Bernstein (CoRR, 2017)

Load-Flow in Multiphase Distribution Networks: Existence, Uniqueness, and Linear Models. - Andrey Bernstein; Cong Wang 010; Emiliano Dall'Anese; Jean-Yves Le Boudec; Changhong Zhao (CoRR, 2017)

Asynchronous and Distributed Tracking of Time-Varying Fixed Points. - Andrey Bernstein; Emiliano Dall'Anese (CDC, 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 (CDC, 2018)

A Feedback-Based Regularized Primal-Dual Gradient Method for Time-Varying Nonconvex Optimization. - Yujie Tang 002; Emiliano Dall'Anese; Andrey Bernstein; Steven H. Low (CDC, 2018)

Joint Chance Constraints Reduction Through Learning in Active Distribution Networks. - Kyri Baker; Andrey Bernstein (GlobalSIP, 2018)

Autonomous Energy Grids. - Benjamin Kroposki; Emiliano Dall'Anese; Andrey Bernstein; Yingchen Zhang; Bri-Mathias S. Hodge (HICSS, 2018)

Joint Probabilistic Forecasts of Temperature and Solar Irradiance. - Raksha Ramakrishna; Andrey Bernstein; Emiliano Dall'Anese; Anna Scaglione (ICASSP, 2018)

A Primal-Dual Gradient Method for Time-Varying Optimization with Application to Power Systems. - Yujie Tang 002; Emiliano Dall'Anese; Andrey Bernstein; Steven H. Low (SIGMETRICS Perform. Evaluation Rev., 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)

Explicit Conditions on Existence and Uniqueness of Load-Flow Solutions in Distribution Networks. - Cong Wang 010; Andrey Bernstein; Jean-Yves Le Boudec; Mario Paolone (IEEE Trans. Smart Grid, 2018)

Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning. - Andrey Bernstein; Yue Chen; Marcello Colombino; Emiliano Dall'Anese; Prashant G. Mehta; Sean P. Meyn (CDC, 2019)

Towards robustness guarantees for feedback-based optimization. - Marcello Colombino; John W. Simpson-Porco; Andrey Bernstein (CDC, 2019)

Dynamic Power Network State Estimation with Asynchronous Measurements. - Guido Cavraro; Emiliano Dall'Anese; Andrey Bernstein (GlobalSIP, 2019)

State Estimation in Low-Observable Distribution Systems Using Matrix Completion. - Yingchen Zhang; Andrey Bernstein; Andreas Schmitt; Rui Yang 015 (HICSS, 2019)

Sample Complexity of Power System State Estimation using Matrix Completion. - Joshua Comden; Marcello Colombino; Andrey Bernstein; Zhenhua Liu 002 (SmartGridComm, 2019)

Aggregating Privacy-Conscious Distributed Energy Resources for Grid Service Provision. - Jun-Xing Chin; Andrey Bernstein; Gabriela Hug (CoRR, 2019)

Physics-Informed Deep Neural Network Method for Limited Observability State Estimation. - Jonatan Ostrometzky; Konstantin Berestizshevsky; Andrey Bernstein; Gil Zussman (CoRR, 2019)

On the Convergence of the Inexact Running Krasnosel'skiĭ-Mann Method. - Emiliano Dall'Anese; Andrea Simonetto; Andrey Bernstein (IEEE Control. Syst. Lett., 2019)

Irradiance Field Reconstruction From Partial Observability of Solar Radiation. - Jonatan Ostrometzky; Andrey Bernstein; Gil Zussman (IEEE Geosci. Remote. Sens. Lett., 2019)

Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach. - Andrey Bernstein; Emiliano Dall'Anese (IEEE Trans. Control. Netw. Syst., 2019)

Joint Chance Constraints in AC Optimal Power Flow: Improving Bounds Through Learning. - Kyri Baker; Andrey Bernstein (IEEE Trans. Smart Grid, 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)

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)

Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition. - Yajing Liu; Ahmed S. Zamzam; Andrey Bernstein (ACSSC, 2020)

Distributed Minimization of the Power Generation Cost in Prosumer-Based Distribution Networks. - Guido Cavraro; Andrey Bernstein; Ruggero Carli; Sandro Zampieri (ACC, 2020)

Data-Driven Linear Parameter-Varying Modeling and Control of Flexible Loads for Grid Services. - Yue Chen; Andrey Bernstein (ACC, 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 (ACC, 2020)

Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids. - Chin-Yao Chang; Xinyang Zhou; Andrey Bernstein (SmartGridComm, 2020)

Matrix Completion Using Alternating Minimization for Distribution System State Estimation. - Yajing Liu; April Sagan; Andrey Bernstein; Rui Yang 015; Xinyang Zhou; Yingchen Zhang (SmartGridComm, 2020)

Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks. - Manish Kumar Singh 005; Sarthak Gupta; Vassilis Kekatos; Guido Cavraro; Andrey Bernstein (SmartGridComm, 2020)

A Framework for Distributed and Compositional Stability Analysis of Power Grids. - Stefanos Baros; Andrey Bernstein; Nikos D. Hatziargyriou (CoRR, 2020)

Online State Estimation for Systems with Asynchronous Sensors. - Guido Cavraro; Emiliano Dall'Anese; Joshua Comden; Andrey Bernstein (CoRR, 2020)

Grid-forming frequency shaping control. - Yan Jiang 005; Andrey Bernstein; Petr Vorobev; Enrique Mallada (CoRR, 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)

Online Optimization as a Feedback Controller: Stability and Tracking. - Marcello Colombino; Emiliano Dall'Anese; Andrey Bernstein (IEEE Trans. Control. Netw. Syst., 2020)

Bus Clustering for Distribution Grid Topology Identification. - Guido Cavraro; Andrey Bernstein (IEEE Trans. Smart Grid, 2020)

Matrix Completion for Low-Observability Voltage Estimation. - Priya L. Donti; Yajing Liu; Andreas Schmitt; Andrey Bernstein; Rui Yang 015; Yingchen Zhang (IEEE Trans. Smart Grid, 2020)

Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. - Xiangyu Zhang 010; Rohit Chintala; Andrey Bernstein; Peter A. Graf; Xin Jin 016 (ACC, 2021)

Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation. - Shuhang Chen; Adithya M. Devraj; Andrey Bernstein; Sean P. Meyn (ACC, 2021)

Ripple-Type Control for Enhancing Resilience of Networked Physical Systems. - Manish Kumar Singh 005; Guido Cavraro; Andrey Bernstein; Vassilis Kekatos (ACC, 2021)

Substation-Level Grid Topology Optimization Using Bus Splitting. - Yuqi Zhou; Ahmed S. Zamzam; Andrey Bernstein; Hao Zhu 001 (ACC, 2021)

A Generalized LinDistFlow Model for Power Flow Analysis. - Jianqiao Huang; Bai Cui; Xinyang Zhou; Andrey Bernstein (CDC, 2021)

Emergency Voltage Regulation in Power Systems via Ripple-Type Control. - Guido Cavraro; Manish Kumar Singh 005; Andrey Bernstein (MED, 2021)

Personalized optimization with user's feedback. - Andrea Simonetto; Emiliano Dall'Anese; Julien Monteil; Andrey Bernstein (Autom., 2021)

Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties. - Bai Cui; Ahmed S. Zamzam; Andrey Bernstein (IEEE Control. Syst. Lett., 2021)

Grid-Forming Frequency Shaping Control for Low-Inertia Power Systems. - Yan Jiang 005; Andrey Bernstein; Petr Vorobev; Enrique Mallada (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)

Economic Dispatch With Distributed Energy Resources: Co-Optimization of Transmission and Distribution Systems. - Xinyang Zhou; Chin-Yao Chang; Andrey Bernstein; Changhong Zhao; Lijun Chen 001 (IEEE Control. Syst. Lett., 2021)

Decentralized Low-Rank State Estimation for Power Distribution Systems. - April Sagan; Yajing Liu; Andrey Bernstein (IEEE Trans. Smart Grid, 2021)

Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch. - Joshua Comden; Ahmed S. Zamzam; Andrey Bernstein (ACC, 2022)

Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks. - Joshua Comden; Ahmed S. Zamzam; Andrey Bernstein (HICSS, 2022)

Online data-enabled predictive control. - Stefanos Baros; Chin-Yao Chang; Gabriel E. Colón-Reyes; Andrey Bernstein (Autom., 2022)

Multi-Area Distribution System State Estimation via Distributed Tensor Completion. - Yajing Liu; Ahmed S. Zamzam; Andrey Bernstein (CoRR, 2022)

Enabling Grid-Aware Market Participation of Aggregate Flexible Resources. - Bai Cui; Ahmed S. Zamzam; Andrey Bernstein (CoRR, 2022)

Running Primal-Dual Gradient Method for Time-Varying Nonconvex Problems. - Yujie Tang 002; Emiliano Dall'Anese; Andrey Bernstein; Steven H. Low (SIAM J. Control. Optim., 2022)

Online State Estimation for Time-Varying Systems. - Guido Cavraro; Emiliano Dall'Anese; Joshua Comden; Andrey Bernstein (IEEE Trans. Autom. Control., 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)

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)

Real-Time Distribution System State Estimation With Asynchronous Measurements. - Guido Cavraro; Joshua Comden; Emiliano Dall'Anese; Andrey Bernstein (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)

Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control. - Xiangyu Zhang 010; Yue Chen; Andrey Bernstein; Rohit Chintala; Peter A. Graf; Xin Jin 016; David Biagioni (IEEE Trans. Smart Grid, 2022)

Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities. - Ahmed S. Alahmed; Guido Cavraro; Andrey Bernstein; Lang Tong 001 (Allerton, 2023)

Ripple-Type Voltage Control for Extreme-Event Contingencies. - Ignas Satkauskas; Guido Cavraro; Andrey Bernstein (ACC, 2023)

Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes. - Andrey Bernstein; Joshua Comden; Yue Chen; Jing Wang (CDC, 2023)

Study of Communication Boundaries of Primal-Dual-Based Distributed Energy Resource Management Systems (DERMS). - Joshua Comden; Jing Wang; Andrey Bernstein (ISGT, 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 (SmartGridComm, 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)

Network-Aware and Welfare-Maximizing Dynamic Pricing for Energy Sharing. - Ahmed S. Alahmed; Guido Cavraro; Andrey Bernstein; Lang Tong 001 (CDC, 2024)

Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation. - Zhirui Liang; Qi Li; Joshua Comden; Andrey Bernstein; Yury Dvorkin (CDC, 2024)

Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation. - Yuqi Zhou; Ahmed S. Zamzam; Andrey Bernstein (CoRR, 2024)

Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior. - Adam Lechowicz; Joshua Comden; Andrey Bernstein (CoRR, 2024)

Feedback Optimization of Incentives for Distribution Grid Services. - Guido Cavraro; Joshua Comden; Andrey Bernstein (IEEE Control. Syst. Lett., 2024)

Revealing Decision Conservativeness Through Inverse Distributionally Robust Optimization. - Qi Li; Zhirui Liang; Andrey Bernstein; Yury Dvorkin (IEEE Control. Syst. Lett., 2024)

Optimizing Individualized Incentives from Grid Measurements under Limited Knowledge of Agent Behavior. - Adam Lechowicz; Joshua Comden; Andrey Bernstein (e-Energy, 2025)

A Decentralized Market Mechanism for Energy Communities Under Operating Envelopes. - Ahmed S. Alahmed; Guido Cavraro; Andrey Bernstein; Lang Tong 001 (IEEE Trans. Control. Netw. Syst., 2025)