Name
Papers
Collaborators
DEEPJYOTI DEKA
43
45
Citations 
PageRank 
Referers 
68
16.63
139
Referees 
References 
356
216
Search Limit
100356
Title
Citations
PageRank
Year
Tractable Learning in Underexcited Power Grids00.342022
Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids.00.342021
Graphical Models in Meshed Distribution Grids: Topology Estimation, Change Detection & Limitations20.402020
Designing Reactive Power Control Rules for Smart Inverters Using Support Vector Machines30.422020
Physics informed topology learning in networks of linear dynamical systems20.392020
A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications10.362020
Energy Storage Optimization for Grid Reliability00.342020
Stochastic Battery Operations using Deep Neural Networks00.342019
Arbitrage with Power Factor Correction using Energy Storage.10.382019
Learning a Generator Model from Terminal Bus Data.00.342019
Graphical Models in Loopy Distribution Grids: Topology estimation, change detection and limitation.00.342019
Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow.40.432019
Topology Learning Of Radial Dynamical Systems With Latent Nodes00.342018
Topology Estimation using Graphical Models in Multi-Phase Power Distribution Grids.00.342018
Uncovering Power Transmission Dynamic Model From Incomplete Pmu Observations00.342018
Data-Driven Identification Of A Thermal Network In Multi-Zone Building00.342018
Real-time Fault Localization in Power Grids With Convolutional Neural Networks.00.342018
Is Machine Learning in Power Systems Vulnerable?20.442018
Joint Estimation of Topology and Injection Statistics in Distribution Grids With Missing Nodes30.402018
Learning With End-Users in Distribution Grids: Topology and Parameter Estimation00.342018
Structure- and Physics-Preserving Reductions of Power Grid Models.00.342018
Learning The Exact Topology Of Undirected Consensus Networks00.342017
Analytical Models for Power Networks: The Case of the Western U.S. and ERCOT Grids.50.482017
Topology Estimation in Bulk Power Grids: Guarantees on Exact Recovery.00.342017
Exact Topology Reconstruction Of Radial Dynamical Systems With Applications To Distribution System Of The Power Grid30.422017
Learning Exact Topology of a Loopy Power Grid from Ambient Dynamics.20.422017
Optimal Topology Design For Disturbance Minimization In Power Grids20.392017
State and noise covariance estimation in power grids using limited nodal PMUs.00.342017
Structure- & Physics- Preserving Reductions of Power Grid Models.10.372017
Jamming Aided Generalized Data Attacks: Exposing Vulnerabilities In Secure Estimation10.412016
Tractable Structure Learning In Radial Physical Flow Networks10.362016
Learning topology of the power distribution grid with and without missing data60.572016
Data attacks on power grids: Leveraging detection10.402015
Topological Vulnerability Of Power Grids To Disasters: Bounds, Adversarial Attacks And Reinforcement10.342015
Structural vulnerability of power grids to disasters: Bounds and reinforcement measures20.392015
Optimal data attacks on power grids: Leveraging detection & measurement jamming60.512015
Structure Learning in Power Distribution Networks.50.492015
Optimal hidden SCADA attacks on power grid: A graph theoretic approach70.552014
Generative models for cellular social networks00.342014
Attacking power grids with secure meters: The case for breakers and Jammers40.432014
Hidden Attacks on Power Grid: Optimal Attack Strategies and Mitigation.00.342014
Generative Growth Model for Power Grids30.472013
Network Models for Power Grids: A Generative Approach00.342012