publications
publications by categories in reversed chronological order.
Pre-Prints
2024
- Optimization Proxies using Limited Labeled Data and Training Time–A Semi-Supervised Bayesian Neural Network Approach2024
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Journal Articles
2025
- Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex QCQPsINFORMS Journal on Computing (accepted), 2025
- A Parametric, Second-Order Cone Representable Model of Fairness for Decision-Making ProblemsOptimization and Engineering (accepted), 2025
2023
- Topology Learning in Radial Dynamical Systems With Unreliable DataIEEE Transactions on Control of Network Systems, 2023
- Importance sampling approach to chance-constrained dc optimal power flowIEEE Transactions on Control of Network Systems, 2023
- Physics-constrained adversarial training for neural networks in stochastic power gridsIEEE Transactions on Artificial Intelligence, 2023
- Gp cc-opf: Gaussian process based optimization tool for chance-constrained optimal power flowSoftware Impacts, 2023
- Data-driven stochastic AC-OPF using Gaussian process regressionInternational Journal of Electrical Power Energy Systems, 2023
2022
- DNN-based policies for stochastic AC OPFElectric Power Systems Research, Special issue on Power Systems Computation Conference (PSCC), 2022
- Markovian Decentralized Ensemble Control for Demand ResponseIEEE Control Systems Letters, 2022
- Learning Distribution Grid Topologies: A TutorialIEEE Transactions on Smart Grid, 2022
- Can locational disparity of prosumer energy optimization due to inverter rules be limited?IEEE Transactions on Power Systems, 2022
2021
- Tractable Learning in Underexcited Power GridsIEEE transactions on control of network systems, 2021
- Guaranteed phase & topology identification in three phase distribution gridsIEEE Transactions on Smart Grid, 2021
- Efficient topology design algorithms for power grid stabilityIEEE Control Systems Letters, 2021
- Privacy-aware load ensemble control: A linearly-solvable MDP approachIEEE Transactions on Smart Grid, 2021
2020
- Learning with end-users in distribution grids: Topology and parameter estimationIEEE Transactions on Control of Network Systems, 2020
- Physics informed topology learning in networks of linear dynamical systemsAutomatica, 2020
- Arbitrage with power factor correction using energy storageIEEE Transactions on Power Systems, 2020
- An adversarial model for attack vector vulnerability analysis on power and gas delivery operationsElectric Power Systems Research, Special issue on Power Systems Computation Conference (PSCC), 2020
- Stochastic AC optimal power flow: A data-driven approachElectric Power Systems Research, Special issue on Power Systems Computation Conference (PSCC), 2020
- Stochastic and distributionally robust load ensemble controlIEEE Transactions on Power Systems, 2020
- Graphical models in meshed distribution grids: Topology estimation, change detection & limitationsIEEE Transactions on Smart Grid, 2020
- Joint Estimation of Topology and Injection Statistics in Distribution Grids with Missing NodesIEEE Transactions on Control of Network Systems, 2020
- Data-driven learning and load ensemble controlElectric Power Systems Research, Special issue on Power Systems Computation Conference (PSCC), 2020
- A hierarchical approach to multienergy demand response: From electricity to multienergy applicationsProceedings of the IEEE, 2020
- Learning model of generator from terminal dataElectric Power Systems Research, Special issue on Power Systems Computation Conference (PSCC), 2020
2019
- Topology estimation using graphical models in multi-phase power distribution gridsIEEE Transactions on Power Systems, 2019
- Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural NetworksIEEE Transactions on Power Systems, 2019
- Designing reactive power control rules for smart inverters using support vector machinesIEEE Transactions on Smart Grid, 2019
2018
- Structure-and physics-preserving reductions of power grid modelsMultiscale Modeling & Simulation, 2018
- Optimal load ensemble control in chance-constrained optimal power flowIEEE Transactions on Smart Grid, 2018
- Topological vulnerability of power grids to disasters: Bounds, adversarial attacks and reinforcementPlos one, 2018
2017
- Structure Learning in Power Distribution NetworksIEEE Transactions on Control of Network Systems, 2017
Book Chapters
2024
- Topology detection in distribution networks with machine learningIn Big data application in power systems, 2024
2018
- Ensemble Control of Cycling Energy Loads: Markov Decision ApproachIn Energy Markets and Responsive Grids, 2018
Conference Articles (peer-reviewed)
2024
- Contributions of Individual Generators to Nodal Carbon EmissionsIn ACM e-Energy, 2024
- Mitigating the Impact of Uncertain Wildfire Risk on Power Grids through Topology ControlIn International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2024
- Learning from Less: Bayesian Neural Networks for Optimization Proxy using Limited Labeled DataIn NeurIPS Workshop on Bayesian Decision-making and Uncertainty, 2024
2023
- Fast Data-Driven Chance Constrained AC-OPF Using Hybrid Sparse Gaussian ProcessesIn IEEE PowerTech, Belgrade, 2023
2022
- Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputsIn International Conference on Artificial Intelligence and Statistics, 2022
- Physics-conditioned generative adversarial networks for state estimation in active power distribution systems with low observabilityIn 2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), 2022
- PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and LabelsIn Hawaii International Conference on System Sciences, 2022
2021
- Real-time anomaly detection and classification in streaming PMU dataIn 2021 IEEE Madrid PowerTech, 2021
- Physics-Informed Learning for High Impedance Faults DetectionIn IEEE Powertech, 2021
- Using Transient Pipeline Simulation to Evaluate Electric Power Generation ReliabilityIn PSIG Annual Meeting, 2021
- Detecting anomalies using overlapping electrical measurements in smart power gridsIn 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
- Energy Storage Optimization for Grid ReliabilityIn Proceedings of the Eleventh ACM International Conference on Future Energy Systems, 2020
- Learning partially observed meshed distribution gridsIn 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2020
2019
- Designing Power Grid Topologies for Minimizing Network Disturbances: An Exact MILP FormulationIn 2019 American Control Conference (ACC), 2019
- Learning for DC-OPF: Classifying active sets using neural netsIn 2019 IEEE Milan PowerTech, 2019
- Stochastic battery operations using deep neural networksIn IEEE ISGT NA 2019-Innovative Smart Grid Technologies Conference, 2019
- Exact topology learning in a network of cyclostationary processesIn 2019 American Control Conference (ACC), 2019
- Co-optimizing energy storage for prosumers using convex relaxationsIn 2019 International Conference on Intelligent System Application to Power Systems (ISAP), 2019
2018
- Chance-constrained ADMM approach for decentralized control of distributed energy resourcesIn 2018 Power Systems Computation Conference (PSCC), 2018
- Exact topology and parameter estimation in distribution grids with minimal observabilityIn 2018 power systems computation conference (PSCC), 2018
- Online learning of power transmission dynamicsIn 2018 Power Systems Computation Conference (PSCC), 2018
- Optimal ensemble control of loads in distribution grids with network constraintsIn 2018 Power Systems Computation Conference (PSCC), 2018
- Topology learning of radial dynamical systems with latent nodesIn 2018 Annual American Control Conference (ACC), 2018
- Is machine learning in power systems vulnerable\?In 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2018
- Data-driven identification of a thermal network in multi-zone buildingIn 2018 IEEE Conference on Decision and Control (CDC), 2018
- Uncovering power transmission dynamic model from incomplete pmu observationsIn 2018 IEEE Conference on Decision and Control (CDC), 2018
- Learning in power distribution grids under correlated injectionsIn 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
- Learning exact topology of a loopy power grid from ambient dynamicsIn Proceedings of the eighth international conference on future energy systems, 2017
- State and noise covariance estimation in power grids using limited nodal pmusIn 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017
- Learning the exact topology of undirected consensus networksIn 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017
- Integrated multi-scale data analytics and machine learning for the distribution gridIn 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2017
- Estimating topology and injection statistics in distribution grids with hidden nodesIn 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2017
- Topology estimation in bulk power grids: Theoretical guarantees and limitsIn Bulk Power Systems Dynamics and Control Symposium-IREP, 2017
2016
- Learning topology of the power distribution grid with and without missing dataIn 2016 European Control Conference (ECC), 2016
- Tractable structure learning in radial physical flow networksIn 2016 IEEE 55th Conference on Decision and Control (CDC), 2016
2015
- Structural vulnerability of power grids to disasters: Bounds and reinforcement measuresIn 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2015
2014
- Optimal hidden SCADA attacks on power grid: A graph theoretic approachIn 2014 International conference on computing, networking and communications (ICNC), 2014
- Data attack on strategic buses in the power grid: Design and protectionIn 2014 IEEE PES General Meeting, 2014
- Attacking power grids with secure meters: The case for breakers and jammersIn 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2014
2013
- Generative growth model for power gridsIn 2013 International Conference on Signal-Image Technology & Internet-Based Systems, 2013
2011
- PMU placement and error control using belief propagationIn 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2011
Technical Reports
2020
- Synchronized measurements and their applications in distribution systems: An update2020
2018
- Synchrophasor Monitoring for Distribution Systems: Technical Foundations and Applications2018
- Integrated Multi Scale Data Analytics and Machine Learning for the Grid: Benchmarking Algorithms and Data Quality Analysis2018
- Integrated Multi-Scale Data Analytics and Machine Learning for the Distribution Grid2018
2017
- Integrated multi-scale data analytics and machine learning for the distribution grid and building-to-grid interface2017