2024
A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources.
CoRR, 2024
2023
On the Sample Complexity of Decentralized Linear Quadratic Regulator With Partially Nested Information Structure.
IEEE Trans. Autom. Control., August, 2023
Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls.
IEEE Control. Syst. Lett., 2023
Data-driven Forced Oscillation Localization using Inferred Impulse Responses.
CoRR, 2023
Optimal Power System Topology Control Under Uncertain Wildfire Risk.
CoRR, 2023
Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control.
Proceedings of the American Control Conference, 2023
2022
Reinforcement Learning-Based Optimal Battery Control Under Cycle-Based Degradation Cost.
IEEE Trans. Smart Grid, 2022
Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network.
CoRR, 2022
Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions.
CoRR, 2022
Efficient Representation for Electric Vehicle Charging Station Operations using Reinforcement Learning.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Enhancing the Spatio-Temporal Observability of Grid-Edge Resources in Distribution Grids.
IEEE Trans. Smart Grid, 2021
Appliance Level Short-term Load Forecasting via Recurrent Neural Network.
CoRR, 2021
Scalable Learning for Optimal Load Shedding Under Power Grid Emergency Operations.
CoRR, 2021
Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids.
CoRR, 2021
Data-driven Modeling for Distribution Grids Under Partial Observability.
CoRR, 2021
Graph Neural Networks for Learning Real-Time Prices in Electricity Market.
CoRR, 2021
Inferring power system dynamics from synchrophasor data using Gaussian processes.
CoRR, 2021
A Dynamic Response Recovery Framework Using Ambient Synchrophasor Data.
CoRR, 2021
Inferring Power System Frequency Oscillations using Gaussian Processes.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Substation-Level Grid Topology Optimization Using Bus Splitting.
Proceedings of the 2021 American Control Conference, 2021
2020
Dynamic Distribution State Estimation Using Synchrophasor Data.
IEEE Trans. Smart Grid, 2020
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies.
SIAM J. Control. Optim., 2020
Enhancing the Spatio-Temporal Observability of Residential Loads.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
2019
Projected Stochastic Primal-Dual Method for Constrained Online Learning With Kernels.
IEEE Trans. Signal Process., 2019
Intrusion Detection in Distributed Frequency Control of Isolated Microgrids.
IEEE Trans. Smart Grid, 2019
Hybrid Voltage Control in Distribution Networks Under Limited Communication Rates.
IEEE Trans. Smart Grid, 2019
Robust Power System State Estimation From Rank-One Measurements.
IEEE Trans. Control. Netw. Syst., 2019
Secure Integration of Electric Vehicles with the Power Grid.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Online Demand Response of Voltage-Dependent Loads for Corrective Grid De-Congestion.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Policy Search in Infinite-Horizon Discounted Reinforcement Learning: Advances through Connections to Non-Convex Optimization : Invited Presentation.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019
Convergence and Iteration Complexity of Policy Gradient Method for Infinite-horizon Reinforcement Learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Distributed Voltage Control in Distribution Networks: Online and Robust Implementations.
IEEE Trans. Smart Grid, 2018
Dynamic Power Distribution System Management With a Locally Connected Communication Network.
IEEE J. Sel. Top. Signal Process., 2018
Distributed Equilibrium-Learning for Power Network Voltage Control With a Locally Connected Communication Network.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Decentralized Dynamic Optimization for Power Network Voltage Control.
IEEE Trans. Signal Inf. Process. over Networks, 2017
PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic Approaches.
CoRR, 2017
2016
Dynamic decentralized voltage control for power distribution networks.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
2015
Decentralized learning for wireless communications and networking.
CoRR, 2015
2014
Multiuser Scheduling in the 3GPP LTE Cellular Uplink.
IEEE Trans. Mob. Comput., 2014
Power System Nonlinear State Estimation Using Distributed Semidefinite Programming.
IEEE J. Sel. Top. Signal Process., 2014
A methodology to analyze conservation voltage reduction performance using field test data.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014
2013
Multi-User MIMO Scheduling in the Fourth Generation Cellular Uplink.
IEEE Trans. Wirel. Commun., 2013
Distributed Optimal Power Flow for Smart Microgrids.
IEEE Trans. Smart Grid, 2013
Monitoring and Optimization for Power Grids: A Signal Processing Perspective.
IEEE Signal Process. Mag., 2013
2012
Precoder Design for Physical Layer Multicasting.
IEEE Trans. Signal Process., 2012
Robust Power System State Estimation for the Nonlinear AC Flow Model
CoRR, 2012
Multi-user scheduling in the 3GPP LTE cellular uplink.
Proceedings of the 10th International Symposium on Modeling and Optimization in Mobile, 2012
Multi-area state estimation using distributed SDP for nonlinear power systems.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012
Precoder design for weighted sum delay minimization in MIMO physical layer multicasting.
Proceedings of the 2012 IEEE Global Communications Conference, 2012
2011
Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling.
IEEE Trans. Signal Process., 2011
Exploiting Sparse User Activity in Multiuser Detection.
IEEE Trans. Commun., 2011
Lassoing line outages in the smart power grid.
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011
Weighted and structured sparse total least-squares for perturbed compressive sampling.
Proceedings of the IEEE International Conference on Acoustics, 2011
USPACOR: Universal sparsity-controlling outlier rejection.
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Distributed consensus-based demodulation: algorithms and error analysis.
IEEE Trans. Wirel. Commun., 2010
Sparsity-cognizant overlapping co-clustering for behavior inference in social networks.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Power-efficient dimensionality reduction for distributed channel-aware kalman tracking using WSNs.
IEEE Trans. Signal Process., 2009
Distributed in-network channel decoding.
IEEE Trans. Signal Process., 2009
Sparsity-embracing multiuser detection for CDMA systems with low activity factory.
Proceedings of the IEEE International Symposium on Information Theory, 2009
2008
In-network channel decoding using consensus on log-likelihood ratio averagesy.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008
Distributed demodulation using consensus averaging in wireless sensor networks.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008