Deepjyoti Deka

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 103

Top Venues

CoRR

IEEE Trans. Smart Grid

IEEE Trans. Control. Netw. Syst.

ACC

Publications

Mishfad Shaikh Veedu, Deepjyoti Deka, Murti V. Salapaka
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs. AISTATS (2024)
Deepjyoti Deka, Vassilis Kekatos, Guido Cavraro
Learning Distribution Grid Topologies: A Tutorial. IEEE Trans. Smart Grid 15 (1) (2024)
Yize Chen, Deepjyoti Deka, Yuanyuan Shi
Contributions of Individual Generators to Nodal Carbon Emissions. e-Energy (2024)
Aleksander Lukashevich, Vyacheslav Gorchakov, Petr Vorobev, Deepjyoti Deka, Yury Maximov
Importance Sampling Approach to Chance-Constrained DC Optimal Power Flow. IEEE Trans. Control. Netw. Syst. 11 (2) (2024)
Wenting Li, Deepjyoti Deka, Ren Wang, Mario Roberto Arrieta Paternina
Physics-Constrained Adversarial Training for Neural Networks in Stochastic Power Grids. IEEE Trans. Artif. Intell. 5 (3) (2024)
Abhay Singh Bhadoriya, Deepjyoti Deka, Kaarthik Sundar
Equitable Routing - Rethinking the Multiple Traveling Salesman Problem. CoRR (2024)
Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Petr Vorobev, Vladimir Terzija, Yury Maximov, Deepjyoti Deka
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. CoRR (2023)
Yuqi Zhou, Kaarthik Sundar, Deepjyoti Deka, Hao Zhu
Optimal Power System Topology Control Under Uncertain Wildfire Risk. CoRR (2023)
Nitin Choudhury, Deepjyoti Deka, Aryan Tewari, Soham Gaur, Satyajit Sarmah, Vangmayee Sharda, Sitesh Gautam
Malicious Traffic Classification Using Convolutional Neural Network. ICCCNT (2023)
Parikshit Pareek, Deepjyoti Deka, Sidhant Misra
Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes. CoRR (2023)
Yize Chen, Deepjyoti Deka, Yuanyuan Shi
Contributions of Individual Generators to Nodal Carbon Emissions. CoRR (2023)
Kaarthik Sundar, Deepjyoti Deka, Russell Bent
Fairly Extreme: Minimizing Outages Equitably. CoRR (2023)
Wenting Li, Deepjyoti Deka
PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels. HICSS (2023)
Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Semen A. Budennyy, Petr Vorobev, Vladimir Terzija, Yury Maximov, Deepjyoti Deka
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. Softw. Impacts 16 (2023)
Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar, Andrew G. Lamperski, Murti V. Salapaka
Topology Learning in Radial Dynamical Systems With Unreliable Data. IEEE Trans. Control. Netw. Syst. 10 (4) (2023)
Parikshit Pareek, Deepjyoti Deka, Sidhant Misra
Data-Efficient Power Flow Learning for Network Contingencies. CoRR (2023)
Mishfad Shaikh Veedu, Deepjyoti Deka, Murti V. Salapaka
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs. CoRR (2023)
Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir Terzija, Semen Budenny, Yury Maximov, Deepjyoti Deka
Data-Driven Stochastic AC-OPF using Gaussian Processes. CoRR (2022)
Aleksandra Burashnikova, Wenting Li, Massih Amini, Deepjyoti Deka, Yury Maximov
Ranking-Based Physics-Informed Line Failure Detection in Power Grids. CoRR (2022)
Sina Sontowski, Nigel Lawrence, Deepjyoti Deka, Maanak Gupta
Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids. CoRR (2022)
Ali Hassan, Deepjyoti Deka, Yury Dvorkin
Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach. IEEE Trans. Smart Grid 13 (1) (2022)
Guanze Peng, Robert Mieth, Deepjyoti Deka, Yury Dvorkin
Markovian Decentralized Ensemble Control for Demand Response. IEEE Control. Syst. Lett. 6 (2022)
Md Umar Hashmi, Deepjyoti Deka, Ana Busic, Dirk Van Hertem
Can locational disparity of prosumer energy optimization due to inverter rules be limited? CoRR (2022)
Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir Terzija, Yury Maximov, Deepjyoti Deka
Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes. CoRR (2022)
Deepjyoti Deka, Vassilis Kekatos, Guido Cavraro
Learning Distribution Grid Topologies: A Tutorial. CoRR (2022)
Siddharth Bhela, Harsha Nagarajan, Deepjyoti Deka, Vassilis Kekatos
Efficient Topology Design Algorithms for Power Grid Stability. IEEE Control. Syst. Lett. 6 (2022)
Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti V. Salapaka
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs. AISTATS (2022)
Deepjyoti Deka, Harish Doddi, Sidhant Misra, Murti V. Salapaka
Tractable Learning in Underexcited Power Grids. IEEE Trans. Control. Netw. Syst. 9 (2) (2022)
Guanze Peng, Robert Mieth, Deepjyoti Deka, Yury Dvorkin
Markovian Decentralized Ensemble Control for Demand Response. CoRR (2022)
Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti V. Salapaka
Learning Networked Linear Dynamical Systems under Non-white Excitation from a Single Trajectory. CoRR (2021)
Wenting Li, Deepjyoti Deka
Physics-Informed Graph Learning for Robust Fault Location in Distribution Systems. CoRR (2021)
Mohini Bariya, Deepjyoti Deka, Alexandra von Meier
Guaranteed Phase & Topology Identification in Three Phase Distribution Grids. IEEE Trans. Smart Grid 12 (4) (2021)
Ali Hassan, Deepjyoti Deka, Yury Dvorkin
Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach. CoRR (2021)
Sina Sontowski, Nigel Lawrence, Deepjyoti Deka, Maanak Gupta
Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids. IEEE BigData (2021)
Deepjyoti Deka, Michael Chertkov, Scott Backhaus
Joint Estimation of Topology and Injection Statistics in Distribution Grids With Missing Nodes. IEEE Trans. Control. Netw. Syst. 7 (3) (2020)
Md Umar Hashmi, Ana Busic, Deepjyoti Deka, Lucas Pereira
Energy Storage Optimization for Grid Reliability. e-Energy (2020)
Ali Hassan, Samrat Acharya, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications. Proc. IEEE 108 (9) (2020)
Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti V. Salapaka
Estimating Linear Dynamical Networks of Cyclostationary Processes. CoRR (2020)
Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar, Andy Lamperski, Murti V. Salapaka
Topology Learning in Radial Dynamical Systems with Unreliable Data. CoRR (2020)
Mohini Bariya, Deepjyoti Deka, Alexandra von Meier
Guaranteed Phase & Topology Identification in Three Phase Distribution Grids. CoRR (2020)
Saurav Talukdar, Deepjyoti Deka, Harish Doddi, Donatello Materassi, Michael Chertkov, Murti V. Salapaka
Physics informed topology learning in networks of linear dynamical systems. Autom. 112 (2020)
Sejun Park, Deepjyoti Deka, Scott Backhaus, Michael Chertkov
Learning With End-Users in Distribution Grids: Topology and Parameter Estimation. IEEE Trans. Control. Netw. Syst. 7 (3) (2020)
Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, Murti V. Salapaka
Graphical Models in Meshed Distribution Grids: Topology Estimation, Change Detection & Limitations. IEEE Trans. Smart Grid 11 (5) (2020)
Md Umar Hashmi, Deepjyoti Deka, Lucas Pereira, Ana Busic
Energy Storage Optimization for Grid Reliability. CoRR (2020)
Wenting Li, Deepjyoti Deka
Physics Regulated Neural Network for High Impedance Faults Detection. CoRR (2020)
Ali Hassan, Deepjyoti Deka, Michael Chertkov, Yury Dvorkin
Data-Driven Learning and Load Ensemble Control. CoRR (2020)
Deepjyoti Deka, Harish Doddi, Sidhant Misra, Murti V. Salapaka
Tractable learning in under-excited power grids. CoRR (2020)
Ali Hassan, Samrat Acharya, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications. CoRR (2020)
Mana Jalali, Vassilis Kekatos, Nikolaos Gatsis, Deepjyoti Deka
Designing Reactive Power Control Rules for Smart Inverters Using Support Vector Machines. IEEE Trans. Smart Grid 11 (2) (2020)
Siddharth Bhela, Deepjyoti Deka, Harsha Nagarajan, Vassilis Kekatos
Designing Power Grid Topologies for Minimizing Network Disturbances: An Exact MILP Formulation. ACC (2019)
Ignacio Losada Carreno, Anna Scaglione, Anatoly Zlotnik, Deepjyoti Deka, Kaarthik Sundar
An Adversarial Model for Attack Vector Vulnerability Analysis on Power and Gas Delivery Operations. CoRR (2019)
Yize Chen, Md Umar Hashmi, Deepjyoti Deka, Michael Chertkov
Stochastic Battery Operations using Deep Neural Networks. ISGT (2019)
Md Umar Hashmi, Deepjyoti Deka, Ana Busic, Lucas Pereira, Scott Backhaus
Arbitrage with Power Factor Correction using Energy Storage. CoRR (2019)
Ali Hassan, Robert Mieth, Deepjyoti Deka, Yury Dvorkin
Stochastic and Distributionally Robust Load Ensemble Control. CoRR (2019)
Nikolay Stulov, Dejan J. Sobajic, Yury Maximov, Deepjyoti Deka, Michael Chertkov
Learning a Generator Model from Terminal Bus Data. CoRR (2019)
Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka
Exact Topology Learning in a Network of Cyclostationary Processes. CoRR (2019)
Ilyès Mezghani, Sidhant Misra, Deepjyoti Deka
Stochastic AC Optimal Power Flow: A Data-Driven Approach. CoRR (2019)
Ali Hassan, Robert Mieth, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow. IEEE Trans. Smart Grid 10 (5) (2019)
Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, Murti V. Salapaka
Graphical Models in Loopy Distribution Grids: Topology estimation, change detection and limitation. CoRR (2019)
Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka
Exact Topology Learning in a Network of Cyclostationary Processes. ACC (2019)
Deepjyoti Deka, Sidhant Misra
Learning for DC-OPF: Classifying active sets using neural nets. CoRR (2019)
Deepjyoti Deka, Scott Backhaus, Michael Chertkov
Structure Learning in Power Distribution Networks. IEEE Trans. Control. Netw. Syst. 5 (3) (2018)
Colin Grudzien, Deepjyoti Deka, Michael Chertkov, Scott N. Backhaus
Structure- and Physics-Preserving Reductions of Power Grid Models. Multiscale Model. Simul. 16 (4) (2018)
Saurav Talukdar, Deepjyoti Deka, Michael Chertkov, Murti V. Salapaka
Topology Learning of Radial Dynamical Systems with Latent Nodes. ACC (2018)
Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka
Data-Driven Identification of a Thermal Network in Multi-Zone Building. CDC (2018)
Saurav Talukdar, Deepjyoti Deka, Michael Chertkov, Murti V. Salapaka
Topology Learning of Radial Dynamical Systems with Latent Nodes. CoRR (2018)
Saurav Talukdar, Deepjyoti Deka, Harish Doddi, Donatello Materassi, Misha Chertkov, Murti V. Salapaka
Physics Informed Topology Learning in Networks of Linear Dynamical Systems. CoRR (2018)
Sejun Park, Deepjyoti Deka, Michael Chertkov
Learning in Power Distribution Grids under Correlated Injections. ACSSC (2018)
Andrey Y. Lokhov, Deepjyoti Deka, Marc Vuffray, Michael Chertkov
Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations. CDC (2018)
Deepjyoti Deka, Michael Chertkov, Scott Backhaus
Joint Estimation of Topology \& Injection Statistics in Distribution Grids with Missing Nodes. CoRR (2018)
Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka
Data-driven identification of a thermal network in multi-zone building. CoRR (2018)
Ali Hassan, Robert Mieth, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow. CoRR (2018)
Wenting Li, Deepjyoti Deka, Michael Chertkov, Meng Wang
Real-time Fault Localization in Power Grids With Convolutional Neural Networks. CoRR (2018)
Yize Chen, Yushi Tan, Deepjyoti Deka
Is Machine Learning in Power Systems Vulnerable? CoRR (2018)
Yize Chen, Yushi Tan, Deepjyoti Deka
Is Machine Learning in Power Systems Vulnerable? SmartGridComm (2018)
Deepjyoti Deka, Michael Chertkov, Scott Backhaus
Topology Estimation using Graphical Models in Multi-Phase Power Distribution Grids. CoRR (2018)
Sejun Park, Deepjyoti Deka, Scott Backhaus, Michael Chertkov
Learning with End-Users in Distribution Grids: Topology and Parameter Estimation. CoRR (2018)
Deepjyoti Deka, Armin Zare, Andrey Y. Lokhov, Mihailo R. Jovanovic, Michael Chertkov
State and noise covariance estimation in power grids using limited nodal PMUs. GlobalSIP (2017)
Ali Hassan, Yury Dvorkin, Deepjyoti Deka, Michael Chertkov
Chance-Constrained ADMM Approach for Decentralized Control of Distributed Energy Resources. CoRR (2017)
Deepjyoti Deka, Harsha Nagarajan, Scott Backhaus
Optimal Topology Design for Disturbance Minimization in Power Grids. CoRR (2017)
Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, Murti V. Salapaka
Topology Estimation in Bulk Power Grids: Guarantees on Exact Recovery. CoRR (2017)
Deepjyoti Deka, Harsha Nagarajan, Scott Backhaus
Optimal topology design for disturbance minimization in power grids. ACC (2017)
Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
Optimal Ensemble Control of Loads in Distribution Grids with Network Constraints. CoRR (2017)
Saurav Talukdar, Deepjyoti Deka, Sandeep Attree, Donatello Materassi, Murti V. Salapaka
Learning the exact topology of undirected consensus networks. CDC (2017)
Deepjyoti Deka, Sriram Vishwanath, Ross Baldick
Analytical Models for Power Networks: The Case of the Western U.S. and ERCOT Grids. IEEE Trans. Smart Grid 8 (6) (2017)
Saurav Talukdar, Deepjyoti Deka, Blake Lundstrom, Michael Chertkov, Murti V. Salapaka
Learning Exact Topology of a Loopy Power Grid from Ambient Dynamics. e-Energy (2017)
Saurav Talukdar, Deepjyoti Deka, Donatello Materassi, Murti V. Salapaka
Exact topology reconstruction of radial dynamical systems with applications to distribution system of the power grid. ACC (2017)
Sejun Park, Deepjyoti Deka, Michael Chertkov
Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability. CoRR (2017)
Saurav Talukdar, Deepjyoti Deka, Donatello Materassi, Murti V. Salapaka
Exact Topology Reconstruction of Radial Dynamical Systems with Applications to Distribution System of the Power Grid. CoRR (2017)
Andrey Y. Lokhov, Marc Vuffray, Dmitry Shemetov, Deepjyoti Deka, Michael Chertkov
Online Learning of Power Transmission Dynamics. CoRR (2017)
Saurav Talukdar, Deepjyoti Deka, Sandeep Attree, Donatello Materassi, Murti V. Salapaka
Learning the Exact Topology of Undirected Consensus Networks. CoRR (2017)
Colin Grudzien, Deepjyoti Deka, Michael Chertkov, Scott Backhaus
Structure- & Physics- Preserving Reductions of Power Grid Models. CoRR (2017)
Deepjyoti Deka, Michael Chertkov, Scott Backhaus
Estimating topology and injection statistics in distribution grids with hidden nodes. SmartGridComm (2017)
Emma M. Stewart, Philip Top, Michael Chertkov, Deepjyoti Deka, Scott Backhaus, Andrey Y. Lokhov, Ciaran M. Roberts, Val Hendrix, Sean Peisert, Anthony Florita, Thomas J. King, Matthew J. Reno
Integrated multi-scale data analytics and machine learning for the distribution grid. SmartGridComm (2017)
Deepjyoti Deka, Scott Backhaus, Michael Chertkov
Estimating Distribution Grid Topologies: A Graphical Learning based Approach. CoRR (2016)
Deepjyoti Deka, Scott Backhaus, Michael Chertkov
Tractable structure learning in radial physical flow networks. CDC (2016)
Deepjyoti Deka, Scott Backhaus, Michael Chertkov
Learning topology of the power distribution grid with and without missing data. ECC (2016)
Deepjyoti Deka, Scott Backhaus, Michael Chertkov
Tractable Structure Learning in Radial Physical Flow Networks. CoRR (2016)
Deepjyoti Deka, Scott Backhaus, Michael Chertkov
Learning Topology of Distribution Grids using only Terminal Node Measurements. CoRR (2016)
Deepjyoti Deka, Ross Baldick, Sriram Vishwanath
Jamming Aided Generalized Data Attacks: Exposing Vulnerabilities in Secure Estimation. HICSS (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Deepjyoti Deka