publications

publications by categories in reversed chronological order.

Pre-Prints

  1. Strategic Spatial Load Shifting and Market Efficiency
    Aron Brenner, Deepjyoti DekaLine Roald, and 1 more author
    2026
  2. Coordinated Dynamic Operating Envelopes for Unlocking Additional Flexibility at Grid Edge
    Ali Jalilian, Deepjyoti Deka, Md Umar Hashmi, and 1 more author
    2026
  3. Sparse Neural Approximations for Bilevel Adversarial Problems in Power Grids
    Young-ho Cho, Harsha NagarajanDeepjyoti Deka, and 1 more author
    2025
  4. A Family of Convex Models to Achieve Fairness through Dispersion Control
    Abhay Singh Bhadoriya, Deepjyoti Deka, and Kaarthik Sundar
    2025
  5. The value of storage in electricity distribution: The role of markets
    Dirk Lauinger, Deepjyoti Deka, and Sungho Shin
    2025
  6. Stability-Constrained AC Optimal Power Flow–A Gaussian Process-Based Approach
    Vincenzo Di Vito, Kaarthik Sundar, Ferdinando Fioretto, and 1 more author
    2025
  7. Equitable Routing–Rethinking the Multiple Traveling Salesman Problem
    Abhay Singh Bhadoriya, Deepjyoti Deka, and Kaarthik Sundar
    2024

Journal Articles

  1. Efficient Policy Adaptation for Voltage Control Under Unknown Topology Changes
    Jie Feng, Yuanyuan Shi, and Deepjyoti Deka
    Electric Power Systems Research, 2026
    Special issue on Power Systems Computation Conference (PSCC), accepted
  2. Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk
    Parikshit PareekSidhant Misra, and Deepjyoti Deka
    Electric Power Systems Research, 2026
    Special issue on Power Systems Computation Conference (PSCC), accepted
  3. Gaussian processes in power systems: Techniques, applications, and future works
    Bendong Tan, Tong Su, Yu Weng, and 6 more authors
    Applied Energy, 2026
  4. Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex Quadratically Constrained Quadratic Programs
    Rohit KannanHarsha Nagarajan, and Deepjyoti Deka
    INFORMS Journal on Computing, 2025
  5. Learning Networks From Wide-Sense Stationary Stochastic Processes
    Anirudh Rayas, Jiajun Cheng, Rajasekhar Anguluri, and 2 more authors
    IEEE Transactions on Signal and Information Processing over Networks, 2025
  6. A Parametric, second-order cone representable model of fairness for decision-making problems: K. Sundar et al.
    Kaarthik SundarDeepjyoti Deka, and Russell Bent
    Optimization and Engineering, 2025
  7. Data-efficient strategies for probabilistic voltage envelopes under network contingencies
    Parikshit PareekSidhant Misra, and Deepjyoti Deka
    Sustainable Energy, Grids and Networks (IREP), 2025
  8. Spatial-Temporal Global Sensitivity Analysis for Probabilistic Transient Stability Assessment
    Bendong Tan, Deepjyoti Deka, and Junbo Zhao
    IEEE Transactions on Power Systems, 2025
  9. Topology Learning in Radial Dynamical Systems With Unreliable Data
    Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar, and 2 more authors
    IEEE Transactions on Control of Network Systems, 2023
  10. Importance sampling approach to chance-constrained dc optimal power flow
    Aleksander Lukashevich, Vyacheslav Gorchakov, Petr Vorobev, and 2 more authors
    IEEE Transactions on Control of Network Systems, 2023
  11. Physics-constrained adversarial training for neural networks in stochastic power grids
    Wenting LiDeepjyoti Deka, Ren Wang, and 1 more author
    IEEE Transactions on Artificial Intelligence, 2023
  12. Gp cc-opf: Gaussian process based optimization tool for chance-constrained optimal power flow
    Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, and 5 more authors
    Software Impacts, 2023
  13. Data-driven stochastic AC-OPF using Gaussian process regression
    Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, and 4 more authors
    International Journal of Electrical Power Energy Systems, 2023
  14. DNN-based policies for stochastic AC OPF
    Sarthak Gupta, Sidhant MisraDeepjyoti Deka, and 1 more author
    Electric Power Systems Research, Special issue on Power Systems Computation Conference (PSCC), 2022
  15. Markovian Decentralized Ensemble Control for Demand Response
    Guanze Peng, Robert Mieth, Deepjyoti Deka, and 1 more author
    IEEE Control Systems Letters, 2022
  16. Learning Distribution Grid Topologies: A Tutorial
    Deepjyoti DekaVassilis Kekatos, and Guido Cavraro
    IEEE Transactions on Smart Grid, 2022
  17. Can locational disparity of prosumer energy optimization due to inverter rules be limited?
    Md Umar Hashmi, Deepjyoti Deka, Ana Busic, and 1 more author
    IEEE Transactions on Power Systems, 2022
  18. Tractable Learning in Underexcited Power Grids
    Deepjyoti Deka, Harish Doddi, Sidhant Misra, and 1 more author
    IEEE transactions on control of network systems, 2021
  19. Guaranteed phase & topology identification in three phase distribution grids
    Mohini Bariya, Deepjyoti Deka, and Alexandra Meier
    IEEE Transactions on Smart Grid, 2021
  20. Efficient topology design algorithms for power grid stability
    Siddharth Bhela, Harsha NagarajanDeepjyoti Deka, and 1 more author
    IEEE Control Systems Letters, 2021
  21. Privacy-aware load ensemble control: A linearly-solvable MDP approach
    Ali Hassan, Deepjyoti Deka, and Yury Dvorkin
    IEEE Transactions on Smart Grid, 2021
  22. Learning with end-users in distribution grids: Topology and parameter estimation
    Sejun Park, Deepjyoti DekaScott Backhaus, and 1 more author
    IEEE Transactions on Control of Network Systems, 2020
  23. Physics informed topology learning in networks of linear dynamical systems
    Saurav Talukdar, Deepjyoti Deka, Harish Doddi, and 3 more authors
    Automatica, 2020
  24. Arbitrage with power factor correction using energy storage
    Md Umar Hashmi, Deepjyoti Deka, Ana Busic, and 2 more authors
    IEEE Transactions on Power Systems, 2020
  25. An adversarial model for attack vector vulnerability analysis on power and gas delivery operations
    Ignacio Losada Carreno, Anna Scaglione, Anatoly Zlotnik, and 2 more authors
    Electric Power Systems Research, Special issue on Power Systems Computation Conference (PSCC), 2020
  26. Stochastic AC optimal power flow: A data-driven approach
    Ilyes Mezghani, Sidhant Misra, and Deepjyoti Deka
    Electric Power Systems Research, Special issue on Power Systems Computation Conference (PSCC), 2020
  27. Stochastic and distributionally robust load ensemble control
    Ali Hassan, Robert Mieth, Deepjyoti Deka, and 1 more author
    IEEE Transactions on Power Systems, 2020
  28. Graphical models in meshed distribution grids: Topology estimation, change detection & limitations
    Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, and 1 more author
    IEEE Transactions on Smart Grid, 2020
  29. Joint Estimation of Topology and Injection Statistics in Distribution Grids with Missing Nodes
    Deepjyoti DekaMichael Chertkov, and Scott Backhaus
    IEEE Transactions on Control of Network Systems, 2020
  30. Data-driven learning and load ensemble control
    Ali Hassan, Deepjyoti DekaMichael Chertkov, and 1 more author
    Electric Power Systems Research, Special issue on Power Systems Computation Conference (PSCC), 2020
  31. A hierarchical approach to multienergy demand response: From electricity to multienergy applications
    Ali Hassan, Samrat Acharya, Michael Chertkov, and 2 more authors
    Proceedings of the IEEE, 2020
  32. Learning model of generator from terminal data
    Nikolay Stulov, Dejan J Sobajic, Yury Maximov, and 2 more authors
    Electric Power Systems Research, Special issue on Power Systems Computation Conference (PSCC), 2020
  33. Topology estimation using graphical models in multi-phase power distribution grids
    Deepjyoti DekaMichael Chertkov, and Scott Backhaus
    IEEE Transactions on Power Systems, 2019
  34. Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks
    Wenting LiDeepjyoti DekaMichael Chertkov, and 1 more author
    IEEE Transactions on Power Systems, 2019
  35. Designing reactive power control rules for smart inverters using support vector machines
    Mana Jalali, Vassilis Kekatos, Nikolaos Gatsis, and 1 more author
    IEEE Transactions on Smart Grid, 2019
  36. Structure-and physics-preserving reductions of power grid models
    Colin Grudzien, Deepjyoti DekaMichael Chertkov, and 1 more author
    Multiscale Modeling & Simulation, 2018
  37. Optimal load ensemble control in chance-constrained optimal power flow
    Ali Hassan, Robert Mieth, Michael Chertkov, and 2 more authors
    IEEE Transactions on Smart Grid, 2018
  38. Topological vulnerability of power grids to disasters: Bounds, adversarial attacks and reinforcement
    Deepjyoti DekaSriram Vishwanath, and Ross Baldick
    Plos one, 2018
  39. Analytical Models for Power Networks: The case of the Western US and ERCOT grids
    Deepjyoti DekaSriram Vishwanath, and Ross Baldick
    IEEE Transactions on Smart Grid, 2017
  40. Structure Learning in Power Distribution Networks
    Deepjyoti DekaScott Backhaus, and Michael Chertkov
    IEEE Transactions on Control of Network Systems, 2017

Conference Articles (peer-reviewed)

  1. Aggregation and disaggregation of distributed flexibility for transmission network needs: a conceptual framework
    Md Umar Hashmi, Brida V Mbuwir, Hussain Kazmi, and 2 more authors
    In IET Conference Proceedings CP922, 2025
  2. Optimization Proxies using Limited Labeled Data and Training Time–A Semi-Supervised Bayesian Neural Network Approach
    Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar, and 2 more authors
    In International Conference on Machine Learning, 2025
  3. Power flow approximations for multiphase distribution networks using Gaussian processes
    Daniel Glover, Parikshit PareekDeepjyoti Deka, and 1 more author
    In 2025 IEEE Power & Energy Society General Meeting (PESGM), 2025
  4. Contributions of Individual Generators to Nodal Carbon Emissions
    Yize Chen, Deepjyoti Deka, and Yuanyuan Shi
    In ACM e-Energy, 2024
  5. Mitigating the Impact of Uncertain Wildfire Risk on Power Grids through Topology Control
    Yuqi Zhou, Kaarthik Sundar, Hao Zhu, and 1 more author
    In International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2024
  6. Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs
    Mishfad Shaikh Veedu, Deepjyoti Deka, and Murti Salapaka
    In International Conference on Artificial Intelligence and Statistics, 2024
  7. Fast Data-Driven Chance Constrained AC-OPF Using Hybrid Sparse Gaussian Processes
    Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, and 3 more authors
    In IEEE PowerTech, Belgrade, 2023
  8. Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
    Harish Doddi, Deepjyoti Deka, Saurav Talukdar, and 1 more author
    In International Conference on Artificial Intelligence and Statistics, 2022
  9. Physics-conditioned generative adversarial networks for state estimation in active power distribution systems with low observability
    Mohasinina Kamal, Wenting LiDeepjyoti Deka, and 1 more author
    In 2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), 2022
  10. PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels
    Wenting Li, and Deepjyoti Deka
    In Hawaii International Conference on System Sciences, 2022
  11. Real-time anomaly detection and classification in streaming PMU data
    Christopher Hannon, Deepjyoti Deka, Dong Jin, and 2 more authors
    In 2021 IEEE Madrid PowerTech, 2021
  12. Physics-Informed Learning for High Impedance Faults Detection
    Wenting Li, and Deepjyoti Deka
    In IEEE Powertech, 2021
  13. Using Transient Pipeline Simulation to Evaluate Electric Power Generation Reliability
    Ignacio Losada Carreno, Anna Scaglione, Anthony Giacomoni, and 3 more authors
    In PSIG Annual Meeting, 2021
  14. Detecting anomalies using overlapping electrical measurements in smart power grids
    Sina Sontowski, Nigel Lawrence, Deepjyoti Deka, and 1 more author
    In 2021 IEEE International Conference on Big Data (Big Data), 2021
  15. Energy Storage Optimization for Grid Reliability
    Md Umar Hashmi, Deepjyoti Deka, Lucas Pereira, and 1 more author
    In Proceedings of the Eleventh ACM International Conference on Future Energy Systems, 2020
  16. Learning partially observed meshed distribution grids
    Harish Doddi, Deepjyoti Deka, and Murti Salapaka
    In 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2020
  17. Designing Power Grid Topologies for Minimizing Network Disturbances: An Exact MILP Formulation
    Siddharth Bhela, Deepjyoti DekaHarsha Nagarajan, and 1 more author
    In 2019 American Control Conference (ACC), 2019
  18. Learning for DC-OPF: Classifying active sets using neural nets
    Deepjyoti Deka, and Sidhant Misra
    In 2019 IEEE Milan PowerTech, 2019
  19. Stochastic battery operations using deep neural networks
    Yize Chen, Md Umar Hashmi, Deepjyoti Deka, and 1 more author
    In IEEE ISGT NA 2019-Innovative Smart Grid Technologies Conference, 2019
  20. Exact topology learning in a network of cyclostationary processes
    Harish Doddi, Saurav Talukdar, Deepjyoti Deka, and 1 more author
    In 2019 American Control Conference (ACC), 2019
  21. Co-optimizing energy storage for prosumers using convex relaxations
    Md Umar Hashmi, Deepjyoti Deka, Ana Busic, and 2 more authors
    In 2019 International Conference on Intelligent System Application to Power Systems (ISAP), 2019
  22. Chance-constrained ADMM approach for decentralized control of distributed energy resources
    Ali Hassan, Yury DvorkinDeepjyoti Deka, and 1 more author
    In 2018 Power Systems Computation Conference (PSCC), 2018
  23. Exact topology and parameter estimation in distribution grids with minimal observability
    Seiun Park, Deepjyoti Deka, and Michael Chcrtkov
    In 2018 power systems computation conference (PSCC), 2018
  24. Online learning of power transmission dynamics
    Andrey Y Lokhov, Marc Vuffray, Dmitry Shemetov, and 2 more authors
    In 2018 Power Systems Computation Conference (PSCC), 2018
  25. Optimal ensemble control of loads in distribution grids with network constraints
    Michael ChertkovDeepjyoti Deka, and Yury Dvorkin
    In 2018 Power Systems Computation Conference (PSCC), 2018
  26. Topology learning of radial dynamical systems with latent nodes
    Saurav Talukdar, Deepjyoti DekaMichael Chertkov, and 1 more author
    In 2018 Annual American Control Conference (ACC), 2018
  27. Is machine learning in power systems vulnerable\?
    Yize Chen, Yushi Tan, and Deepjyoti Deka
    In 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2018
  28. Data-driven identification of a thermal network in multi-zone building
    Harish Doddi, Saurav Talukdar, Deepjyoti Deka, and 1 more author
    In 2018 IEEE Conference on Decision and Control (CDC), 2018
  29. Uncovering power transmission dynamic model from incomplete pmu observations
    Andrey Y Lokhov, Deepjyoti Deka, Marc Vuffray, and 1 more author
    In 2018 IEEE Conference on Decision and Control (CDC), 2018
  30. Learning in power distribution grids under correlated injections
    Sejun Park, Deepjyoti Deka, and  others
    In 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
  31. Optimal topology design for disturbance minimization in power grids
    Deepjyoti DekaHarsha Nagarajan, and Scott Backhaus
    In 2017 American Control Conference (ACC), 2017
  32. Exact topology reconstruction of radial dynamical systems with applications to distribution system of the power grid
    Saurav Talukdar, Deepjyoti Deka, Donatello Materassi, and 1 more author
    In 2017 American Control Conference (ACC), 2017
  33. Learning exact topology of a loopy power grid from ambient dynamics
    Saurav Talukdar, Deepjyoti Deka, Blake Lundstrom, and 2 more authors
    In Proceedings of the eighth international conference on future energy systems, 2017
  34. State and noise covariance estimation in power grids using limited nodal pmus
    Deepjyoti Deka, Armin Zare, Andrey Lokhov, and 2 more authors
    In 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017
  35. Learning the exact topology of undirected consensus networks
    Saurav Talukdar, Deepjyoti Deka, Sandeep Attree, and 2 more authors
    In 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017
  36. Integrated multi-scale data analytics and machine learning for the distribution grid
    Emma M Stewart, Philip Top, Michael Chertkov, and 8 more authors
    In 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2017
  37. Estimating topology and injection statistics in distribution grids with hidden nodes
    Deepjyoti DekaMichael Chertkov, and Scott Backhaus
    In 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2017
  38. Topology estimation in bulk power grids: Theoretical guarantees and limits
    D Deka , M Chertkov, S Talukdar, and 1 more author
    In Bulk Power Systems Dynamics and Control Symposium-IREP, 2017
  39. Jamming aided generalized data attacks: Exposing vulnerabilities in secure estimation
    Deepjyoti DekaRoss Baldick, and Sriram Vishwanath
    In 2016 49th Hawaii International Conference on System Sciences (HICSS), 2016
  40. Estimating distribution grid topologies: A graphical learning based approach
    Deepjyoti DekaScott Backhaus, and Michael Chertkov
    In 2016 Power Systems Computation Conference (PSCC), 2016
  41. Learning topology of the power distribution grid with and without missing data
    Deepjyoti DekaScott Backhaus, and Michael Chertkov
    In 2016 European Control Conference (ECC), 2016
  42. Tractable structure learning in radial physical flow networks
    Deepjyoti DekaScott Backhaus, and Michael Chertkov
    In 2016 IEEE 55th Conference on Decision and Control (CDC), 2016
  43. Learning topology of distribution grids using only terminal node measurements
    Deepjyoti DekaScott Backhaus, and Michael Chertkov
    In 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016
  44. Data attacks on power grids: Leveraging detection
    Deepjyoti DekaRoss Baldick, and Sriram Vishwanath
    In 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2015
  45. One breaker is enough: Hidden topology attacks on power grids
    Deepjyoti DekaRoss Baldick, and Sriram Vishwanath
    In 2015 IEEE Power & Energy Society General Meeting, 2015
  46. Optimal data attacks on power grids: Leveraging detection & measurement jamming
    Deepjyoti DekaRoss Baldick, and Sriram Vishwanath
    In 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2015
  47. Structural vulnerability of power grids to disasters: Bounds and reinforcement measures
    Deepjyoti Deka, and Sriram Vishwanath
    In 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2015
  48. Optimal hidden SCADA attacks on power grid: A graph theoretic approach
    Deepjyoti DekaRoss Baldick, and Sriram Vishwanath
    In 2014 International conference on computing, networking and communications (ICNC), 2014
  49. Data attack on strategic buses in the power grid: Design and protection
    Deepjyoti DekaRoss Baldick, and Sriram Vishwanath
    In 2014 IEEE PES General Meeting, 2014
  50. Attacking power grids with secure meters: The case for breakers and jammers
    Deepjyoti DekaRoss Baldick, and Sriram Vishwanath
    In 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2014
  51. Generative growth model for power grids
    Deepjyoti Deka, and Sriram Vishwanath
    In 2013 International Conference on Signal-Image Technology & Internet-Based Systems, 2013
  52. PMU placement and error control using belief propagation
    Deepjyoti Deka, and Sriram Vishwanath
    In 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2011

Book Chapters & Tech Reports

  1. Topology detection in distribution networks with machine learning
    Deepjyoti Deka, and Michael Chertkov
    In Big data application in power systems, 2024
  2. Synchro-Waveform Measurements and Data Analytics in Power Systems
    H Mohsenian-Rad, JY Joo, M Balestrieri, and 8 more authors
    In , 2024
    IEEE PES Technical Report
  3. Synchronized measurements and their applications in distribution systems: An update
    Reza Arghandeh, Mohini Bariya, George Cotter, and 4 more authors
    In , 2020
  4. Ensemble Control of Cycling Energy Loads: Markov Decision Approach
    Michael Chertkov, Vladimir Y Chernyak, and Deepjyoti Deka
    In Energy Markets and Responsive Grids, 2018
  5. Synchrophasor Monitoring for Distribution Systems: Technical Foundations and Applications
    Reza Arghandeh, Mohini Bariya, George Cotter, and 4 more authors
    In , 2018
  6. Integrated Multi Scale Data Analytics and Machine Learning for the Grid: Benchmarking Algorithms and Data Quality Analysis
    Emma Stewart, Karthik Chellappan, Scott Backhaus, and 7 more authors
    In , 2018
  7. Integrated multi-scale data analytics and machine learning for the distribution grid and building-to-grid interface
    Emma M Stewart, Val Hendrix, Michael Chertkov, and 1 more author
    In , 2017