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A Parametric, Second-Order Cone Representable Model of Fairness for
Decision-Making Problems
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2024
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Kaarthik Sundar
Deepjyoti Deka
Russell Bent
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Optimization Proxies using Limited Labeled Data and Training Time -- A
Semi-Supervised Bayesian Neural Network Approach
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2024
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Parikshit Pareek
Kaarthik Sundar
Deepjyoti Deka
Sidhant Misra
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Equitable Routing - Rethinking the Multiple Traveling Salesman Problem
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2024
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Abhay Singh Bhadoriya
Deepjyoti Deka
Kaarthik Sundar
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Contributions of Individual Generators to Nodal Carbon Emissions
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2024
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Yize Chen
Deepjyoti Deka
Yuanyuan Shi
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+
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Importance Sampling Approach to Chance-Constrained DC Optimal Power Flow
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2023
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Aleksandr Lukashevich
В. В. Горчаков
Petr Vorobev
Deepjyoti Deka
Yury Maximov
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Can locational disparity of prosumer energy optimization due to inverter rules be limited?
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2023
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Md Umar Hashmi
Deepjyoti Deka
Ana Bušić
Dirk Van Hertem
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Learning Distribution Grid Topologies: A Tutorial
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2023
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Deepjyoti Deka
Vassilis Kekatos
Guido Cavraro
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+
PDF
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Topology Learning in Radial Dynamical Systems With Unreliable Data
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2023
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Venkat Ram Subramanian
Deepjyoti Deka
Saurav Talukdar
Andrew Lamperski
Murti V. Salapaka
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GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow
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2023
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Mile Mitrovic
Ognjen Kundačina
Aleksandr Lukashevich
Semen Budennyy
Petr Vorobev
Vladimir Terzija
Yury Maximov
Deepjyoti Deka
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Learning to Accelerate the Global Optimization of Quadratically-Constrained Quadratic Programs
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2023
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Rohit Kannan
Harsha Nagarajan
Deepjyoti Deka
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GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow
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2023
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Mile Mitrovic
Ognjen Kundačina
Aleksandr Lukashevich
Petr Vorobev
Vladimir Terzija
Yury Maximov
Deepjyoti Deka
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Optimal Power System Topology Control Under Uncertain Wildfire Risk
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2023
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Yuqi Zhou
Kaarthik Sundar
Deepjyoti Deka
Hao Zhu
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+
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Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes
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2023
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Parikshit Pareek
Deepjyoti Deka
Sidhant Misra
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+
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Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs
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2023
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Mishfad Shaikh Veedu
Deepjyoti Deka
Murti V. Salapaka
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Fairly Extreme: Minimizing Outages Equitably
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2023
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Kaarthik Sundar
Deepjyoti Deka
Russell Bent
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+
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Data-Efficient Power Flow Learning for Network Contingencies
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2023
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Parikshit Pareek
Deepjyoti Deka
Sidhant Misra
|
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+
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Contributions of Individual Generators to Nodal Carbon Emissions
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2023
|
Yize Chen
Deepjyoti Deka
Yuanyuan Shi
|
|
+
PDF
Chat
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Can Locational Disparity of Prosumer Energy Optimization Due to Inverter Rules Be Limited?
|
2022
|
Md Umar Hashmi
Deepjyoti Deka
Ana Bušić
Dirk Van Hertem
|
|
+
PDF
Chat
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DNN-based policies for stochastic AC OPF
|
2022
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Sarthak Gupta
Sidhant Misra
Deepjyoti Deka
Vassilis Kekatos
|
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+
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Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids
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2022
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Sina Sontowski
Nigel Lawrence
Deepjyoti Deka
Maanak Gupta
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+
PDF
Chat
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Markovian Decentralized Ensemble Control for Demand Response
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2022
|
Guanze Peng
Robert Mieth
Deepjyoti Deka
Yury Dvorkin
|
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+
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Learning Distribution Grid Topologies: A Tutorial
|
2022
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Deepjyoti Deka
Vassilis Kekatos
Guido Cavraro
|
|
+
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Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes
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2022
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Mile Mitrovic
Aleksandr Lukashevich
Petr Vorobev
Vladimir Terzija
Yury Maximov
Deepjyoti Deka
|
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+
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Markovian Decentralized Ensemble Control for Demand Response
|
2022
|
Guanze Peng
Robert Mieth
Deepjyoti Deka
Yury Dvorkin
|
|
+
PDF
Chat
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Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids
|
2021
|
Sina Sontowski
Nigel Lawrence
Deepjyoti Deka
Maanak Gupta
|
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+
PDF
Chat
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DNN-based Policies for Stochastic AC OPF
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2021
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Sarthak Gupta
Sidhant Misra
Deepjyoti Deka
Vassilis Kekatos
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+
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Tractable Learning in Underexcited Power Grids
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2021
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Deepjyoti Deka
Harish Doddi
Sidhant Misra
Murti V. Salapaka
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+
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Learning Networked Linear Dynamical Systems under Non-white Excitation from a Single Trajectory.
|
2021
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Harish Doddi
Deepjyoti Deka
Saurav Talukdar
Murti V. Salapaka
|
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+
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Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach
|
2021
|
Ali Hassan
Deepjyoti Deka
Yury Dvorkin
|
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+
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Physics-Informed Graph Learning for Robust Fault Location in Distribution Systems.
|
2021
|
Wenting Li
Deepjyoti Deka
|
|
+
PDF
Chat
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Real-time Anomaly Detection and Classification in Streaming PMU Data
|
2021
|
Christopher Hannon
Deepjyoti Deka
Dong Jin
Marc Vuffray
Andrey Y. Lokhov
|
|
+
PDF
Chat
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Physics-Informed Learning for High Impedance Faults Detection
|
2021
|
Wenting Li
Deepjyoti Deka
|
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+
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Efficient Topology Design Algorithms for Power Grid Stability
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2021
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Siddharth Bhela
Harsha Nagarajan
Deepjyoti Deka
Vassilis Kekatos
|
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+
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Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach
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2021
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Ali Hassan
Deepjyoti Deka
Yury Dvorkin
|
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+
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Efficient Topology Design Algorithms for Power Grid Stability
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2021
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Siddharth Bhela
Harsha Nagarajan
Deepjyoti Deka
Vassilis Kekatos
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+
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PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels
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2021
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Wenting Li
Deepjyoti Deka
|
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+
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Importance sampling approach to chance-constrained DC optimal power flow
|
2021
|
Aleksandr Lukashevich
В. В. Горчаков
Petr Vorobev
Deepjyoti Deka
Yury Maximov
|
|
+
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Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
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2021
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Harish Doddi
Deepjyoti Deka
Saurav Talukdar
Murti V. Salapaka
|
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+
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Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach
|
2021
|
Ali Hassan
Deepjyoti Deka
Yury Dvorkin
|
|
+
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Efficient Topology Design Algorithms for Power Grid Stability
|
2021
|
Siddharth Bhela
Harsha Nagarajan
Deepjyoti Deka
Vassilis Kekatos
|
|
+
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DNN-based Policies for Stochastic AC OPF
|
2021
|
Sarthak Gupta
Sidhant Misra
Deepjyoti Deka
Vassilis Kekatos
|
|
+
PDF
Chat
|
Data-Driven Learning and Load Ensemble Control
|
2020
|
Ali Hassan
Deepjyoti Deka
Michael Chertkov
Yury Dvorkin
|
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+
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Estimating Linear Dynamical Networks of Cyclostationary Processes.
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2020
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Harish Doddi
Deepjyoti Deka
Saurav Talukdar
Murti V. Salapaka
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+
PDF
Chat
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Learning model of generator from terminal data
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2020
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Nikolay Stulov
D.J. Šobajić
Yury Maximov
Deepjyoti Deka
Michael Chertkov
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+
PDF
Chat
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An adversarial model for attack vector vulnerability analysis on power and gas delivery operations
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2020
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Ignacio Losada Carreño
Anna Scaglione
Anatoly Zlotnik
Deepjyoti Deka
Kaarthik Sundar
|
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+
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Physics Regulated Neural Network for High Impedance Faults Detection.
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2020
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Wenting Li
Deepjyoti Deka
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+
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Guaranteed Phase & Topology Identification in Three Phase Distribution Grids
|
2020
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Mohini Bariya
Deepjyoti Deka
Alexandra von Meier
|
|
+
PDF
Chat
|
Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks
|
2020
|
Wenting Li
Deepjyoti Deka
Michael Chertkov
Meng Wang
|
|
+
PDF
Chat
|
Stochastic AC optimal power flow: A data-driven approach
|
2020
|
Ilyès Mezghani
Sidhant Misra
Deepjyoti Deka
|
|
+
PDF
Chat
|
Energy Storage Optimization for Grid Reliability
|
2020
|
Md Umar Hashmi
Ana Bušić
Deepjyoti Deka
Lucas Pereira
|
|
+
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Stochastic and Distributionally Robust Load Ensemble Control
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2020
|
Ali Hassan
Robert Mieth
Deepjyoti Deka
Yury Dvorkin
|
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+
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A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications
|
2020
|
Ali Hassan
Samrat Acharya
Michael Chertkov
Deepjyoti Deka
Yury Dvorkin
|
|
+
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Tractable learning in under-excited power grids
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2020
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Deepjyoti Deka
Harish Doddi
Sidhant Misra
Murti V. Salapaka
|
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+
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A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications
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2020
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Ali Hassan
Samrat Acharya
Michael Chertkov
Deepjyoti Deka
Yury Dvorkin
|
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+
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Data-Driven Learning and Load Ensemble Control
|
2020
|
Ali Hassan
Deepjyoti Deka
Michael Chertkov
Yury Dvorkin
|
|
+
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Energy Storage Optimization for Grid Reliability
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2020
|
Md Umar Hashmi
Deepjyoti Deka
Lucas Pereira
Ana Bušić
|
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+
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Learning With End-Users in Distribution Grids: Topology and Parameter Estimation
|
2020
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Sejun Park
Deepjyoti Deka
Scott Backhaus
Michael Chertkov
|
|
+
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Joint Estimation of Topology and Injection Statistics in Distribution Grids With Missing Nodes
|
2020
|
Deepjyoti Deka
Michael Chertkov
Scott Backhaus
|
|
+
PDF
Chat
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Arbitrage With Power Factor Correction Using Energy Storage
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2020
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Md Umar Hashmi
Deepjyoti Deka
Ana Bušić
Lucas Pereira
Scott Backhaus
|
|
+
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Physics-Informed Learning for High Impedance Faults Detection
|
2020
|
Wenting Li
Deepjyoti Deka
|
|
+
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Topology Learning in Radial Dynamical Systems with Unreliable Data
|
2020
|
Venkat Ram Subramanian
Deepjyoti Deka
Saurav Talukdar
Andy Lamperski
Murti V. Salapaka
|
|
+
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Estimating Linear Dynamical Networks of Cyclostationary Processes
|
2020
|
Harish Doddi
Deepjyoti Deka
Saurav Talukdar
Murti V. Salapaka
|
|
+
|
Guaranteed Phase & Topology Identification in Three Phase Distribution Grids
|
2020
|
Mohini Bariya
Deepjyoti Deka
Alexandra von Meier
|
|
+
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Tractable learning in under-excited power grids
|
2020
|
Deepjyoti Deka
Harish Doddi
Sidhant Misra
Murti V. Salapaka
|
|
+
|
Data-Driven Learning and Load Ensemble Control
|
2020
|
Ali Hassan
Deepjyoti Deka
Michael Chertkov
Yury Dvorkin
|
|
+
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Energy Storage Optimization for Grid Reliability
|
2020
|
Md Umar Hashmi
Deepjyoti Deka
Lucas Pereira
Ana Bušić
|
|
+
|
A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications
|
2020
|
Ali Hassan
Samrat Acharya
Michael Chertkov
Deepjyoti Deka
Yury Dvorkin
|
|
+
|
Stochastic and Distributionally Robust Load Ensemble Control
|
2019
|
Ali Hassan
Robert Mieth
Deepjyoti Deka
Yury Dvorkin
|
|
+
PDF
Chat
|
Physics informed topology learning in networks of linear dynamical systems
|
2019
|
Saurav Talukdar
Deepjyoti Deka
Harish Doddi
Donatello Materassi
Michael Chertkov
Murti V. Salapaka
|
|
+
|
Real-time Anomaly Detection and Classification in Streaming PMU Data
|
2019
|
Christopher Hannon
Deepjyoti Deka
Dong Jin
Marc Vuffray
Andrey Y. Lokhov
|
|
+
PDF
Chat
|
Real-Time Faulted Line Localization and PMU Placement in Power Systems Through Convolutional Neural Networks
|
2019
|
Wenting Li
Deepjyoti Deka
Michael Chertkov
Meng Wang
|
|
+
|
Stochastic AC Optimal Power Flow: A Data-Driven Approach
|
2019
|
Ilyès Mezghani
Sidhant Misra
Deepjyoti Deka
|
|
+
|
An Adversarial Model for Attack Vector Vulnerability Analysis on Power and Gas Delivery Operations.
|
2019
|
Ignacio Losada Carreño
Anna Scaglione
Anatoly Zlotnik
Deepjyoti Deka
Kaarthik Sundar
|
|
+
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Designing Reactive Power Control Rules for Smart Inverters Using Support Vector Machines
|
2019
|
Mana Jalali
Vassilis Kekatos
Nikolaos Gatsis
Deepjyoti Deka
|
|
+
PDF
Chat
|
Designing Power Grid Topologies for Minimizing Network Disturbances: An Exact MILP Formulation
|
2019
|
Siddharth Bhela
Deepjyoti Deka
Harsha Nagarajan
Vassilis Kekatos
|
|
+
PDF
Chat
|
Exact Topology Learning in a Network of Cyclostationary Processes
|
2019
|
Harish Doddi
Saurav Talukdar
Deepjyoti Deka
Murti V. Salapaka
|
|
+
PDF
Chat
|
Learning for DC-OPF: Classifying active sets using neural nets
|
2019
|
Deepjyoti Deka
Sidhant Misra
|
|
+
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Graphical Models in Loopy Distribution Grids: Topology estimation, change detection and limitation.
|
2019
|
Deepjyoti Deka
Saurav Talukdar
Michael Chertkov
Murti V. Salapaka
|
|
+
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Exact Topology Learning in a Network of Cyclostationary Processes
|
2019
|
Harish Doddi
Saurav Talukdar
Deepjyoti Deka
Murti V. Salapaka
|
|
+
|
Designing Power Grid Topologies for Minimizing Network Disturbances: An Exact MILP Formulation
|
2019
|
Siddharth Bhela
Deepjyoti Deka
Harsha Nagarajan
Vassilis Kekatos
|
|
+
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Designing reactive power control rules for smart inverters using support vector machines
|
2019
|
Mana Jalali
Vassilis Kekatos
Nikolaos Gatsis
Deepjyoti Deka
|
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+
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Learning for DC-OPF: Classifying active sets using neural nets.
|
2019
|
Deepjyoti Deka
Sidhant Misra
|
|
+
|
Topology Estimation Using Graphical Models in Multi-Phase Power Distribution Grids
|
2019
|
Deepjyoti Deka
Michael Chertkov
Scott Backhaus
|
|
+
|
An Adversarial Model for Attack Vector Vulnerability Analysis on Power and Gas Delivery Operations
|
2019
|
Ignacio Losada Carreño
Anna Scaglione
Anatoly Zlotnik
Deepjyoti Deka
Kaarthik Sundar
|
|
+
|
Learning for DC-OPF: Classifying active sets using neural nets
|
2019
|
Deepjyoti Deka
Sidhant Misra
|
|
+
|
Exact Topology Learning in a Network of Cyclostationary Processes
|
2019
|
Harish Doddi
Saurav Talukdar
Deepjyoti Deka
Murti V. Salapaka
|
|
+
|
Real-time Anomaly Detection and Classification in Streaming PMU Data
|
2019
|
Christopher Hannon
Deepjyoti Deka
Jin Dong
Marc Vuffray
Andrey Y. Lokhov
|
|
+
|
Stochastic AC Optimal Power Flow: A Data-Driven Approach
|
2019
|
Ilyès Mezghani
Sidhant Misra
Deepjyoti Deka
|
|
+
|
Graphical Models in Meshed Distribution Grids: Topology estimation, change detection and limitations
|
2019
|
Deepjyoti Deka
Saurav Talukdar
Michael Chertkov
Murti V. Salapaka
|
|
+
|
Designing Power Grid Topologies for Minimizing Network Disturbances: An Exact MILP Formulation
|
2019
|
Siddharth Bhela
Deepjyoti Deka
Harsha Nagarajan
Vassilis Kekatos
|
|
+
|
Designing reactive power control rules for smart inverters using support vector machines
|
2019
|
Mana Jalali
Vassilis Kekatos
Nikolaos Gatsis
Deepjyoti Deka
|
|
+
|
Stochastic and Distributionally Robust Load Ensemble Control
|
2019
|
Ali Hassan
Robert Mieth
Deepjyoti Deka
Yury Dvorkin
|
|
+
PDF
Chat
|
Data-Driven Identification of a Thermal Network in Multi-Zone Building
|
2018
|
Harish Doddi
Saurav Talukdar
Deepjyoti Deka
Murti V. Salapaka
|
|
+
|
Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow
|
2018
|
Ali Hassan
Robert Mieth
Michael Chertkov
Deepjyoti Deka
Yury Dvorkin
|
|
+
|
Data-driven identification of a thermal network in multi-zone building
|
2018
|
Harish Doddi
Saurav Talukdar
Deepjyoti Deka
Murti V. Salapaka
|
|
+
|
Real-time Fault Localization in Power Grids With Convolutional Neural Networks.
|
2018
|
Wenting Li
Deepjyoti Deka
Michael Chertkov
Meng Wang
|
|
+
PDF
Chat
|
Is Machine Learning in Power Systems Vulnerable?
|
2018
|
Yize Chen
Yushi Tan
Deepjyoti Deka
|
|
+
|
Physics Informed Topology Learning in Networks of Linear Dynamical Systems
|
2018
|
Saurav Talukdar
Deepjyoti Deka
Harish Doddi
Donatello Materassi
Misha Chertkov
Murti V. Salapaka
|
|
+
PDF
Chat
|
Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability
|
2018
|
Seiun Park
Deepjyoti Deka
Michael Chcrtkov
|
|
+
PDF
Chat
|
Topology Learning of Radial Dynamical Systems with Latent Nodes
|
2018
|
Saurav Talukdar
Deepjyoti Deka
Michael Chertkov
Murti V. Salapaka
|
|
+
PDF
Chat
|
Online Learning of Power Transmission Dynamics
|
2018
|
Andrey Y. Lokhov
Marc Vuffray
Dmitry Shemetov
Deepjyoti Deka
Michael Chertkov
|
|
+
PDF
Chat
|
Optimal Ensemble Control of Loads in Distribution Grids with Network Constraints
|
2018
|
Michael Chertkov
Deepjyoti Deka
Yury Dvorkin
|
|
+
PDF
Chat
|
Chance-Constrained ADMM Approach for Decentralized Control of Distributed Energy Resources
|
2018
|
Ali Hassan
Yury Dvorkin
Deepjyoti Deka
Michael Chertkov
|
|
+
|
Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow
|
2018
|
Ali Hassan
Robert Mieth
Michael Chertkov
Deepjyoti Deka
Yury Dvorkin
|
|
+
|
Joint Estimation of Topology and Injection Statistics in Distribution Grids with Missing Nodes
|
2018
|
Deepjyoti Deka
Michael Chertkov
Scott Backhaus
|
|
+
|
Topology Estimation using Graphical Models in Multi-Phase Power Distribution Grids
|
2018
|
Deepjyoti Deka
Michael Chertkov
Scott Backhaus
|
|
+
|
Learning with End-Users in Distribution Grids: Topology and Parameter Estimation
|
2018
|
Sejun Park
Deepjyoti Deka
Scott Backhaus
Michael Chertkov
|
|
+
|
Topology Learning of Radial Dynamical Systems with Latent Nodes
|
2018
|
Saurav Talukdar
Deepjyoti Deka
Michael Chertkov
Murti V. Salapaka
|
|
+
PDF
Chat
|
Ensemble Control of Cycling Energy Loads: Markov Decision Approach
|
2018
|
Michael Chertkov
Vladimir Chernyak
Deepjyoti Deka
|
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+
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Is Machine Learning in Power Systems Vulnerable?
|
2018
|
Yize Chen
Yushi Tan
Deepjyoti Deka
|
|
+
|
Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks
|
2018
|
Wenting Li
Deepjyoti Deka
Michael Chertkov
Meng Wang
|
|
+
|
Data-driven identification of a thermal network in multi-zone building
|
2018
|
Harish Doddi
Saurav Talukdar
Deepjyoti Deka
Murti V. Salapaka
|
|
+
|
Physics Informed Topology Learning in Networks of Linear Dynamical Systems
|
2018
|
Saurav Talukdar
Deepjyoti Deka
Harish Doddi
Donatello Materassi
Michael Chertkov
Murti V. Salapaka
|
|
+
|
Topology Estimation using Graphical Models in Multi-Phase Power Distribution Grids
|
2018
|
Deepjyoti Deka
Michael Chertkov
Scott Backhaus
|
|
+
|
Topology Learning of Radial Dynamical Systems with Latent Nodes
|
2018
|
Saurav Talukdar
Deepjyoti Deka
Michael Chertkov
Murti V. Salapaka
|
|
+
|
Learning with End-Users in Distribution Grids: Topology and Parameter Estimation
|
2018
|
Sejun Park
Deepjyoti Deka
Scott Backhaus
Michael Chertkov
|
|
+
|
Joint Estimation of Topology and Injection Statistics in Distribution Grids with Missing Nodes
|
2018
|
Deepjyoti Deka
Michael Chertkov
Scott Backhaus
|
|
+
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Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow
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2018
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Ali Hassan
Robert Mieth
Michael Chertkov
Deepjyoti Deka
Yury Dvorkin
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PDF
Chat
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Learning the exact topology of undirected consensus networks
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2017
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Saurav Talukdar
Deepjyoti Deka
Sandeep Attree
Donatello Materassi
Murti V. Salapaka
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Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability
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2017
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Sejun Park
Deepjyoti Deka
Michael Chertkov
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Online Learning of Power Transmission Dynamics
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2017
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Andrey Y. Lokhov
Marc Vuffray
Dmitry Shemetov
Deepjyoti Deka
Michael Chertkov
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Chance-Constrained ADMM Approach for Decentralized Control of Distributed Energy Resources
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2017
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Ali Hassan
Yury Dvorkin
Deepjyoti Deka
Michael Chertkov
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Learning the Exact Topology of Undirected Consensus Networks
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2017
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Saurav Talukdar
Deepjyoti Deka
Sandeep Attree
Donatello Materassi
Murti V. Salapaka
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Structure- & Physics- Preserving Reductions of Power Grid Models
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2017
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Colin Grudzien
Deepjyoti Deka
Michael Chertkov
Scott Backhaus
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Topology Estimation in Bulk Power Grids: Guarantees on Exact Recovery
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2017
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Deepjyoti Deka
Saurav Talukdar
Michael Chertkov
Murti V. Salapaka
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PDF
Chat
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Learning Exact Topology of a Loopy Power Grid from Ambient Dynamics
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2017
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Saurav Talukdar
Deepjyoti Deka
Blake Lundstrom
Michael Chertkov
Murti V. Salapaka
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PDF
Chat
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Exact topology reconstruction of radial dynamical systems with applications to distribution system of the power grid
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2017
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Saurav Talukdar
Deepjyoti Deka
Donatello Materassi
Murti V. Salapaka
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PDF
Chat
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Optimal topology design for disturbance minimization in power grids
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2017
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Deepjyoti Deka
Harsha Nagarajan
Scott Backhaus
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Learning Exact Topology of a Loopy Power Grid from Ambient Dynamics
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2017
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Saurav Talukdar
Deepjyoti Deka
Blake Lundstrom
Michael Chertkov
Murti V. Salapaka
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Optimal Topology Design for Disturbance Minimization in Power Grids
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2017
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Deepjyoti Deka
Harsha Nagarajan
Scott Backhaus
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Exact Topology Reconstruction of Radial Dynamical Systems with Applications to Distribution System of the Power Grid
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2017
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Saurav Talukdar
Deepjyoti Deka
Donatello Materassi
Murti V. Salapaka
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+
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Online Learning of Power Transmission Dynamics
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2017
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Andrey Y. Lokhov
Marc Vuffray
Dmitry Shemetov
Deepjyoti Deka
Michael Chertkov
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+
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Learning Exact Topology of a Loopy Power Grid from Ambient Dynamics
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2017
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Saurav Talukdar
Deepjyoti Deka
Blake Lundstrom
Michael Chertkov
Murti V. Salapaka
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+
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Topology Estimation in Bulk Power Grids: Guarantees on Exact Recovery
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2017
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Deepjyoti Deka
Saurav Talukdar
Michael Chertkov
Murti V. Salapaka
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+
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Learning the Exact Topology of Undirected Consensus Networks
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2017
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Saurav Talukdar
Deepjyoti Deka
Sandeep Attree
Donatello Materassi
Murti V. Salapaka
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Optimal Ensemble Control of Loads in Distribution Grids with Network Constraints
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2017
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Michael Chertkov
Deepjyoti Deka
Yury Dvorkin
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Optimal Topology Design for Disturbance Minimization in Power Grids
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2017
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Deepjyoti Deka
Harsha Nagarajan
Scott Backhaus
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+
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Chance-Constrained ADMM Approach for Decentralized Control of Distributed Energy Resources
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2017
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Ali Hassan
Yury Dvorkin
Deepjyoti Deka
Michael Chertkov
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+
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Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability
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2017
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Sejun Park
Deepjyoti Deka
Michael Chertkov
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+
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Exact Topology Reconstruction of Radial Dynamical Systems with Applications to Distribution System of the Power Grid
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2017
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Saurav Talukdar
Deepjyoti Deka
Donatello Materassi
Murti V. Salapaka
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+
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Ensemble Control of Cycling Energy Loads: Markov Decision Approach
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2017
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Michael Chertkov
Vladimir Chernyak
Deepjyoti Deka
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+
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Structure- & Physics- Preserving Reductions of Power Grid Models
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2017
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Colin Grudzien
Deepjyoti Deka
Michael Chertkov
Scott Backhaus
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PDF
Chat
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Tractable structure learning in radial physical flow networks
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2016
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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PDF
Chat
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Learning topology of distribution grids using only terminal node measurements
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2016
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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+
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Tractable Structure Learning in Radial Physical Flow Networks
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2016
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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+
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Learning Topology of Distribution Grids using only Terminal Node Measurements
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2016
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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PDF
Chat
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Learning topology of the power distribution grid with and without missing data
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2016
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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PDF
Chat
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Estimating distribution grid topologies: A graphical learning based approach
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2016
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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PDF
Chat
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Analytical Models for Power Networks: The Case of the Western U.S. and ERCOT Grids
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2016
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Deepjyoti Deka
Sriram Vishwanath
Ross Baldick
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Learning Topology of the Power Distribution Grid with and without Missing Data
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2016
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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+
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Estimating Distribution Grid Topologies: A Graphical Learning based Approach
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2016
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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+
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Learning Topology of the Power Distribution Grid with and without Missing Data
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2016
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Deepjyoti Deka
Backhaus Scott
Chertkov Michael
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PDF
Chat
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Jamming Aided Generalized Data Attacks: Exposing Vulnerabilities in Secure Estimation
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2016
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Deepjyoti Deka
Ross Baldick
Sriram Vishwanath
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+
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Estimating Distribution Grid Topologies: A Graphical Learning based Approach
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2016
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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+
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Tractable Structure Learning in Radial Physical Flow Networks
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2016
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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+
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Learning Topology of Distribution Grids using only Terminal Node Measurements
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2016
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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|
+
PDF
Chat
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Optimal data attacks on power grids: Leveraging detection & measurement jamming
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2015
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Deepjyoti Deka
Ross Baldick
Sriram Vishwanath
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+
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Jamming aided Generalized Data Attacks: Exposing Vulnerabilities in Secure Estimation
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2015
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Deepjyoti Deka
Ross Baldick
Sriram Vishwanath
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+
PDF
Chat
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One breaker is enough: Hidden topology attacks on power grids
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2015
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Deepjyoti Deka
Ross Baldick
Sriram Vishwanath
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+
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Optimal Data Attacks on Power Grids: Leveraging Detection & Measurement Jamming
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2015
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Deepjyoti Deka
Ross Baldick
Sriram Vishwanath
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+
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Data Attacks on Power Grids: Leveraging Detection
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2015
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Deepjyoti Deka
Ross Baldick
Sriram Vishwanath
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+
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Structure Learning and Statistical Estimation in Distribution Networks - Part II
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2015
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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+
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Structure Learning and Statistical Estimation in Distribution Networks - Part I
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2015
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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+
PDF
Chat
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Data attacks on power grids: Leveraging detection
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2015
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Deepjyoti Deka
Ross Baldick
Sriram Vishwanath
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+
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Structural Vulnerability of Power Grids to Disasters: Bounds, Adversarial Attacks and Reinforcement
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2015
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Deepjyoti Deka
Sriram Vishwanath
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+
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Jamming aided Generalized Data Attacks: Exposing Vulnerabilities in Secure Estimation
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2015
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Deepjyoti Deka
Ross Baldick
Sriram Vishwanath
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+
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Structure Learning and Statistical Estimation in Distribution Networks - Part II
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2015
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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+
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Optimal Data Attacks on Power Grids: Leveraging Detection & Measurement Jamming
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2015
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Deepjyoti Deka
Ross Baldick
Sriram Vishwanath
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+
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Data Attacks on Power Grids: Leveraging Detection
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2015
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Deepjyoti Deka
Ross Baldick
Sriram Vishwanath
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+
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Structure Learning and Statistical Estimation in Distribution Networks - Part I
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2015
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Deepjyoti Deka
Scott Backhaus
Michael Chertkov
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+
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Hidden Attacks on Power Grid: Optimal Attack Strategies and Mitigation
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2014
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Deepjyoti Deka
Ross Baldick
Sriram Vishwanath
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+
PDF
Chat
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Generative Growth Model for Power Grids
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2013
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Deepjyoti Deka
Sriram Vishwanath
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+
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Analytical Models for Power Networks: The case of the Western US and ERCOT grids
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2012
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Deepjyoti Deka
Sriram Vishwanath
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+
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Generative Growth Model for Power Grids
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2012
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Deepjyoti Deka
Sriram Vishwanath
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+
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Analytical Models for Power Networks: The case of the Western US and ERCOT grids
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2012
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Deepjyoti Deka
Sriram Vishwanath
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