Andrey Bernstein

117 papers A* 3B 1C 12Misc 2Journal 68Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Demand Response Under Stochastic, Price-Dependent User Behavior. CoRR Guido Cavraro, Andrey Bernstein, Emiliano Dall'Anese
2025	J	`jnl`	A Decentralized Market Mechanism for Energy Communities Under Operating Envelopes. IEEE Trans. Control. Netw. Syst. Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong
2025	J	`jnl`	Integrating Upstream Supply Chains into Generation Expansion Planning. CoRR Boyu Yao, Andrey Bernstein, Yury Dvorkin
2025	—	`conf`	Optimizing Individualized Incentives from Grid Measurements under Limited Knowledge of Agent Behavior. e-Energy Adam Lechowicz, Joshua Comden, Andrey Bernstein
2025	—	`conf`	Stochastic Online Feedback Optimization for Networks of Non-Compliant Agents. CDC Caio Kalil Lauand, Andrey Bernstein
2024	J	`jnl`	A Decentralized Market Mechanism for Energy Communities under Operating Envelopes. CoRR Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong
2024	J	`jnl`	Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation. CoRR Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein
2024	J	`jnl`	Feedback Optimization of Incentives for Distribution Grid Services. CoRR Guido Cavraro, Joshua Comden, Andrey Bernstein
2024	J	`jnl`	Feedback Optimization of Incentives for Distribution Grid Services. IEEE Control. Syst. Lett. Guido Cavraro, Joshua Comden, Andrey Bernstein
2024	—	`conf`	Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation. CDC Zhirui Liang, Qi Li, Joshua Comden, Andrey Bernstein, Yury Dvorkin
2024	J	`jnl`	Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation. CoRR Zhirui Liang, Qi Li, Joshua Comden, Andrey Bernstein, Yury Dvorkin
2024	—	`conf`	Network-Aware and Welfare-Maximizing Dynamic Pricing for Energy Sharing. CDC Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong
2024	J	`jnl`	Network-Aware and Welfare-Maximizing Dynamic Pricing for Energy Sharing. CoRR Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong
2024	J	`jnl`	Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior. CoRR Adam Lechowicz, Joshua Comden, Andrey Bernstein
2024	J	`jnl`	Revealing Decision Conservativeness Through Inverse Distributionally Robust Optimization. CoRR Qi Li, Zhirui Liang, Andrey Bernstein, Yury Dvorkin
2024	J	`jnl`	Revealing Decision Conservativeness Through Inverse Distributionally Robust Optimization. IEEE Control. Syst. Lett. Qi Li, Zhirui Liang, Andrey Bernstein, Yury Dvorkin
2023	J	`jnl`	Frequency Shaping Control for Weakly-Coupled Grid-Forming IBRs. IEEE Control. Syst. Lett. Bala Kameshwar Poolla, Yashen Lin, Andrey Bernstein, Enrique Mallada, Dominic Groß
2023	—	`conf`	Hardware-in-the-Loop Evaluation of Grid-Edge DER Chip Integration Into Next-Generation Smart Meters. SmartGridComm Joshua Comden, Jing Wang, Subhankar Ganguly, Steven Forsyth, Reynaldo Gomez, Andrey Bernstein
2023	—	`conf`	Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities. Allerton Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong
2023	J	`jnl`	Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities. CoRR Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong
2023	C	`conf`	Ripple-Type Voltage Control for Extreme-Event Contingencies. ACC Ignas Satkauskas, Guido Cavraro, Andrey Bernstein
2023	—	`conf`	Study of Communication Boundaries of Primal-Dual-Based Distributed Energy Resource Management Systems (DERMS). ISGT Joshua Comden, Jing Wang, Andrey Bernstein
2023	—	`conf`	Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes. CDC Andrey Bernstein, Joshua Comden, Yue Chen, Jing Wang
2022	—	`conf`	Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks. HICSS Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein
2022	J	`jnl`	Efficient Region of Attraction Characterization for Control and Stabilization of Load Tap Changer Dynamics. IEEE Trans. Control. Netw. Syst. Bai Cui, Ahmed S. Zamzam, Guido Cavraro, Andrey Bernstein
2022	J	`jnl`	Enabling Grid-Aware Market Participation of Aggregate Flexible Resources. CoRR Bai Cui, Ahmed S. Zamzam, Andrey Bernstein
2022	J	`jnl`	Feedback Power Cost Optimization in Power Distribution Networks With Prosumers. IEEE Trans. Control. Netw. Syst. Guido Cavraro, Andrey Bernstein, Ruggero Carli, Sandro Zampieri
2022	J	`jnl`	Multi-Area Distribution System State Estimation via Distributed Tensor Completion. CoRR Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein
2022	J	`jnl`	Multiarea Distribution System State Estimation via Distributed Tensor Completion. IEEE Trans. Smart Grid Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein
2022	J	`jnl`	Online State Estimation for Time-Varying Systems. IEEE Trans. Autom. Control. Guido Cavraro, Emiliano Dall'Anese, Joshua Comden, Andrey Bernstein
2022	J	`jnl`	Online data-enabled predictive control. Autom. Stefanos Baros, Chin-Yao Chang, Gabriel E. Colón-Reyes, Andrey Bernstein
2022	J	`jnl`	Real-Time Distribution System State Estimation With Asynchronous Measurements. IEEE Trans. Smart Grid Guido Cavraro, Joshua Comden, Emiliano Dall'Anese, Andrey Bernstein
2022	J	`jnl`	Running Primal-Dual Gradient Method for Time-Varying Nonconvex Problems. SIAM J. Control. Optim. Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low
2022	C	`conf`	Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch. ACC Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein
2022	J	`jnl`	Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control. IEEE Trans. Smart Grid Xiangyu Zhang, Yue Chen, Andrey Bernstein, Rohit Chintala, Peter A. Graf, Xin Jin, David Biagioni
2021	—	`conf`	A Generalized LinDistFlow Model for Power Flow Analysis. CDC Jianqiao Huang, Bai Cui, Xinyang Zhou, Andrey Bernstein
2021	J	`jnl`	A Generalized LinDistFlow Model for Power Flow Analysis. CoRR Jianqiao Huang, Bai Cui, Xinyang Zhou, Andrey Bernstein
2021	C	`conf`	Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation. ACC Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn
2021	J	`jnl`	Decentralized Low-Rank State Estimation for Power Distribution Systems. IEEE Trans. Smart Grid April Sagan, Yajing Liu, Andrey Bernstein
2021	C	`conf`	Economic Dispatch With Distributed Energy Resources: Co-Optimization of Transmission and Distribution Systems. ACC Xinyang Zhou, Chin-Yao Chang, Andrey Bernstein, Changhong Zhao, Lijun Chen
2021	J	`jnl`	Economic Dispatch With Distributed Energy Resources: Co-Optimization of Transmission and Distribution Systems. IEEE Control. Syst. Lett. Xinyang Zhou, Chin-Yao Chang, Andrey Bernstein, Changhong Zhao, Lijun Chen
2021	—	`conf`	Emergency Voltage Regulation in Power Systems via Ripple-Type Control. MED Guido Cavraro, Manish Kumar Singh, Andrey Bernstein
2021	C	`conf`	Grid-Forming Frequency Shaping Control for Low-Inertia Power Systems. ACC Yan Jiang, Andrey Bernstein, Petr Vorobev, Enrique Mallada
2021	J	`jnl`	Grid-Forming Frequency Shaping Control for Low-Inertia Power Systems. IEEE Control. Syst. Lett. Yan Jiang, Andrey Bernstein, Petr Vorobev, Enrique Mallada
2021	C	`conf`	Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. ACC Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin
2021	J	`jnl`	Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. IEEE Control. Syst. Lett. Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein
2021	C	`conf`	Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties. ACC Bai Cui, Ahmed S. Zamzam, Andrey Bernstein
2021	J	`jnl`	Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties. IEEE Control. Syst. Lett. Bai Cui, Ahmed S. Zamzam, Andrey Bernstein
2021	J	`jnl`	Personalized optimization with user's feedback. Autom. Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein
2021	C	`conf`	Ripple-Type Control for Enhancing Resilience of Networked Physical Systems. ACC Manish Kumar Singh, Guido Cavraro, Andrey Bernstein, Vassilis Kekatos
2021	J	`jnl`	Ripple-Type Control for Enhancing Resilience of Networked Physical Systems. CoRR Manish Kumar Singh, Guido Cavraro, Andrey Bernstein, Vassilis Kekatos
2021	C	`conf`	Substation-Level Grid Topology Optimization Using Bus Splitting. ACC Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein, Hao Zhu
2020	J	`jnl`	A Framework for Distributed and Compositional Stability Analysis of Power Grids. CoRR Stefanos Baros, Andrey Bernstein, Nikos D. Hatziargyriou
2020	J	`jnl`	Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation. CoRR Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn
2020	J	`jnl`	Bus Clustering for Distribution Grid Topology Identification. IEEE Trans. Smart Grid Guido Cavraro, Andrey Bernstein
2020	—	`conf`	Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids. SmartGridComm Chin-Yao Chang, Xinyang Zhou, Andrey Bernstein
2020	C	`conf`	Data-Driven Linear Parameter-Varying Modeling and Control of Flexible Loads for Grid Services. ACC Yue Chen, Andrey Bernstein
2020	C	`conf`	Distributed Minimization of the Power Generation Cost in Prosumer-Based Distribution Networks. ACC Guido Cavraro, Andrey Bernstein, Ruggero Carli, Sandro Zampieri
2020	J	`jnl`	Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. CoRR Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin
2020	J	`jnl`	Grid-forming frequency shaping control. CoRR Yan Jiang, Andrey Bernstein, Petr Vorobev, Enrique Mallada
2020	—	`conf`	Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks. SmartGridComm Manish Kumar Singh, Sarthak Gupta, Vassilis Kekatos, Guido Cavraro, Andrey Bernstein
2020	—	`conf`	Matrix Completion Using Alternating Minimization for Distribution System State Estimation. SmartGridComm Yajing Liu, April Sagan, Andrey Bernstein, Rui Yang, Xinyang Zhou, Yingchen Zhang
2020	J	`jnl`	Matrix Completion for Low-Observability Voltage Estimation. IEEE Trans. Smart Grid Priya L. Donti, Yajing Liu, Andreas Schmitt, Andrey Bernstein, Rui Yang, Yingchen Zhang
2020	C	`conf`	Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow. ACC Yue Chen, Andrey Bernstein, Adithya M. Devraj, Sean P. Meyn
2020	J	`jnl`	Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. CoRR Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein
2020	Misc	`conf`	Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition. ACSSC Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein
2020	J	`jnl`	Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties. CoRR Bai Cui, Ahmed S. Zamzam, Andrey Bernstein
2020	J	`jnl`	Online Optimization as a Feedback Controller: Stability and Tracking. IEEE Trans. Control. Netw. Syst. Marcello Colombino, Emiliano Dall'Anese, Andrey Bernstein
2020	J	`jnl`	Online State Estimation for Systems with Asynchronous Sensors. CoRR Guido Cavraro, Emiliano Dall'Anese, Joshua Comden, Andrey Bernstein
2020	J	`jnl`	Real-Time Identifiability of Power Distribution Network Topologies With Limited Monitoring. IEEE Control. Syst. Lett. Guido Cavraro, Andrey Bernstein, Vassilis Kekatos, Yingchen Zhang
2019	J	`jnl`	A Model for Joint Probabilistic Forecast of Solar Photovoltaic Power and Outdoor Temperature. IEEE Trans. Signal Process. Raksha Ramakrishna, Anna Scaglione, Vijay Vittal, Emiliano Dall'Anese, Andrey Bernstein
2019	J	`jnl`	Aggregating Privacy-Conscious Distributed Energy Resources for Grid Service Provision. CoRR Jun-Xing Chin, Andrey Bernstein, Gabriela Hug
2019	—	`conf`	Dynamic Power Network State Estimation with Asynchronous Measurements. GlobalSIP Guido Cavraro, Emiliano Dall'Anese, Andrey Bernstein
2019	J	`jnl`	Irradiance Field Reconstruction From Partial Observability of Solar Radiation. IEEE Geosci. Remote. Sens. Lett. Jonatan Ostrometzky, Andrey Bernstein, Gil Zussman
2019	J	`jnl`	Joint Chance Constraints in AC Optimal Power Flow: Improving Bounds Through Learning. IEEE Trans. Smart Grid Kyri Baker, Andrey Bernstein
2019	J	`jnl`	Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow. CoRR Yue Chen, Andrey Bernstein, Adithya M. Devraj, Sean P. Meyn
2019	J	`jnl`	On the Convergence of the Inexact Running Krasnosel'skiĭ-Mann Method. IEEE Control. Syst. Lett. Emiliano Dall'Anese, Andrea Simonetto, Andrey Bernstein
2019	J	`jnl`	Online Primal-Dual Methods With Measurement Feedback for Time-Varying Convex Optimization. IEEE Trans. Signal Process. Andrey Bernstein, Emiliano Dall'Anese, Andrea Simonetto
2019	J	`jnl`	Personalized Optimization with User's Feedback. CoRR Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein
2019	J	`jnl`	Physics-Informed Deep Neural Network Method for Limited Observability State Estimation. CoRR Jonatan Ostrometzky, Konstantin Berestizshevsky, Andrey Bernstein, Gil Zussman
2019	—	`conf`	Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning. CDC Andrey Bernstein, Yue Chen, Marcello Colombino, Emiliano Dall'Anese, Prashant G. Mehta, Sean P. Meyn
2019	J	`jnl`	Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach. IEEE Trans. Control. Netw. Syst. Andrey Bernstein, Emiliano Dall'Anese
2019	—	`conf`	Sample Complexity of Power System State Estimation using Matrix Completion. SmartGridComm Joshua Comden, Marcello Colombino, Andrey Bernstein, Zhenhua Liu
2019	—	`conf`	State Estimation in Low-Observable Distribution Systems Using Matrix Completion. HICSS Yingchen Zhang, Andrey Bernstein, Andreas Schmitt, Rui Yang
2019	—	`conf`	Towards robustness guarantees for feedback-based optimization. CDC Marcello Colombino, John W. Simpson-Porco, Andrey Bernstein
2018	—	`conf`	A Feedback-Based Regularized Primal-Dual Gradient Method for Time-Varying Nonconvex Optimization. CDC Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low
2018	J	`jnl`	A Primal-Dual Gradient Method for Time-Varying Optimization with Application to Power Systems. SIGMETRICS Perform. Evaluation Rev. Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low
2018	—	`conf`	Asynchronous and Distributed Tracking of Time-Varying Fixed Points. CDC Andrey Bernstein, Emiliano Dall'Anese
2018	—	`conf`	Autonomous Energy Grids. HICSS Benjamin Kroposki, Emiliano Dall'Anese, Andrey Bernstein, Yingchen Zhang, Bri-Mathias S. Hodge
2018	J	`jnl`	Experimental Validation of an Explicit Power-Flow Primary Control in Microgrids. IEEE Trans. Ind. Informatics Lorenzo Reyes-Chamorro, Andrey Bernstein, Niek J. Bouman, Enrica Scolari, Andreas Martin Kettner, Benoit Cathiard, Jean-Yves Le Boudec, Mario Paolone
2018	J	`jnl`	Explicit Conditions on Existence and Uniqueness of Load-Flow Solutions in Distribution Networks. IEEE Trans. Smart Grid Cong Wang, Andrey Bernstein, Jean-Yves Le Boudec, Mario Paolone
2018	—	`conf`	Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources. CDC Md Salman Nazir, Ian A. Hiskens, Andrey Bernstein, Emiliano Dall'Anese
2018	J	`jnl`	Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources. CoRR Md Salman Nazir, Ian A. Hiskens, Andrey Bernstein, Emiliano Dall'Anese
2018	—	`conf`	Joint Chance Constraints Reduction Through Learning in Active Distribution Networks. GlobalSIP Kyri Baker, Andrey Bernstein
2018	Misc	`conf`	Joint Probabilistic Forecasts of Temperature and Solar Irradiance. ICASSP Raksha Ramakrishna, Andrey Bernstein, Emiliano Dall'Anese, Anna Scaglione
2017	J	`jnl`	Bi-Level Online Control without Regret. CoRR Andrey Bernstein
2017	—	`conf`	Bi-level dynamic optimization with feedback. GlobalSIP Andrey Bernstein, Emiliano Dall'Anese
2017	—	`conf`	Feedback-based projected-gradient method for real-time optimization of aggregations of energy resources. GlobalSIP Emiliano Dall'Anese, Andrey Bernstein, Andrea Simonetto
2017	—	`conf`	Linear power-flow models in multiphase distribution networks. ISGT Europe Andrey Bernstein, Emiliano Dall'Anese
2017	J	`jnl`	Load-Flow in Multiphase Distribution Networks: Existence, Uniqueness, and Linear Models. CoRR Andrey Bernstein, Cong Wang, Emiliano Dall'Anese, Jean-Yves Le Boudec, Changhong Zhao
2017	—	`conf`	Network-cognizant design of decentralized Volt/VAR controllers. ISGT Kyri Baker, Andrey Bernstein, Changhong Zhao, Emiliano Dall'Anese
2017	—	`conf`	Real-time control of an ensemble of heterogeneous resources. CDC Andrey Bernstein, Niek J. Bouman, Jean-Yves Le Boudec
2016	—	`conf`	Aggregation of power capabilities of heterogeneous resources for real-time control of power grids. PSCC Andrey Bernstein, Jean-Yves Le Boudec, Mario Paolone, Lorenzo Reyes-Chamorro, Wajeb Saab
2016	J	`jnl`	Real-Time Minimization of Average Error in the Presence of Uncertainty and Convexification of Feasible Sets. CoRR Andrey Bernstein, Niek J. Bouman, Jean-Yves Le Boudec
2015	J	`jnl`	Design of Resource Agents with Guaranteed Tracking Properties for Real-Time Control of Electrical Grids. CoRR Andrey Bernstein, Niek J. Bouman, Jean-Yves Le Boudec
2015	J	`jnl`	Response-based approachability with applications to generalized no-regret problems. J. Mach. Learn. Res. Andrey Bernstein, Nahum Shimkin
2014	J	`jnl`	A Composable Method for Real-Time Control of Active Distribution Networks with Explicit Power Setpoints. CoRR Andrey Bernstein, Lorenzo Reyes-Chamorro, Jean-Yves Le Boudec, Mario Paolone
2014	J	`jnl`	Opportunistic Approachability and Generalized No-Regret Problems. Math. Oper. Res. Andrey Bernstein, Shie Mannor, Nahum Shimkin
2014	A*	`conf`	Power grid vulnerability to geographically correlated failures - Analysis and control implications. INFOCOM Andrey Bernstein, Daniel Bienstock, David Hay, Meric Uzunoglu, Gil Zussman
2013	A*	`conf`	Opportunistic Strategies for Generalized No-Regret Problems. COLT Andrey Bernstein, Shie Mannor, Nahum Shimkin
2013	J	`jnl`	Response-Based Approachability and its Application to Generalized No-Regret Algorithms. CoRR Andrey Bernstein, Nahum Shimkin
2012	J	`jnl`	Power Grid Vulnerability to Geographically Correlated Failures - Analysis and Control Implications CoRR Andrey Bernstein, Daniel Bienstock, David Hay, Meric Uzunoglu, Gil Zussman
2012	J	`jnl`	Sensitivity analysis of the power grid vulnerability to large-scale cascading failures. SIGMETRICS Perform. Evaluation Rev. Andrey Bernstein, Daniel Bienstock, David Hay, Meric Uzunoglu, Gil Zussman
2011	B	`conf`	Performance evaluation of resource allocation policies for energy harvesting devices. WiOpt Maria Gorlatova, Andrey Bernstein, Gil Zussman
2010	J	`jnl`	Adaptive-resolution reinforcement learning with polynomial exploration in deterministic domains. Mach. Learn. Andrey Bernstein, Nahum Shimkin
2010	—	`conf`	Online Classification with Specificity Constraints. NIPS Andrey Bernstein, Shie Mannor, Nahum Shimkin
2008	A*	`conf`	Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains. COLT Andrey Bernstein, Nahum Shimkin