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2020 – today
- 2024
[j20]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): 1121-1131 (2024)- [j19]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): 928-937 (2024) - [j18]Deepjyoti Deka, Vassilis Kekatos, Guido Cavraro:
Learning Distribution Grid Topologies: A Tutorial. IEEE Trans. Smart Grid 15(1): 999-1013 (2024) - [c35]Mishfad Shaikh Veedu, Deepjyoti Deka, Murti V. Salapaka:
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs. AISTATS 2024: 4636-4644 - [c34]Yize Chen, Deepjyoti Deka, Yuanyuan Shi:
Contributions of Individual Generators to Nodal Carbon Emissions. e-Energy 2024: 72-78 - [i65]Abhay Singh Bhadoriya, Deepjyoti Deka, Kaarthik Sundar:
Equitable Routing - Rethinking the Multiple Traveling Salesman Problem. CoRR abs/2404.08157 (2024) - [i64]Parikshit Pareek, Kaarthik Sundar, Deepjyoti Deka, Sidhant Misra:
Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach. CoRR abs/2410.03085 (2024) - 2023
- [j17]Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Semen A. Budennyy, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka:
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. Softw. Impacts 16: 100489 (2023) - [j16]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): 2010-2021 (2023) - [c33]Wenting Li, Deepjyoti Deka:
PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels. HICSS 2023: 2776-2785 - [c32]Nitin Choudhury, Deepjyoti Deka, Aryan Tewari, Soham Gaur, Satyajit Sarmah, Vangmayee Sharda, Sitesh Gautam:
Malicious Traffic Classification Using Convolutional Neural Network. ICCCNT 2023: 1-7 - [i63]Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka:
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. CoRR abs/2302.08454 (2023) - [i62]Yuqi Zhou, Kaarthik Sundar, Deepjyoti Deka, Hao Zhu:
Optimal Power System Topology Control Under Uncertain Wildfire Risk. CoRR abs/2303.07558 (2023) - [i61]Parikshit Pareek, Deepjyoti Deka, Sidhant Misra:
Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes. CoRR abs/2308.07867 (2023) - [i60]Mishfad Shaikh Veedu, Deepjyoti Deka, Murti V. Salapaka:
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs. CoRR abs/2308.16859 (2023) - [i59]Parikshit Pareek, Deepjyoti Deka, Sidhant Misra:
Data-Efficient Power Flow Learning for Network Contingencies. CoRR abs/2310.00763 (2023) - [i58]Kaarthik Sundar, Deepjyoti Deka, Russell Bent:
Fairly Extreme: Minimizing Outages Equitably. CoRR abs/2310.01348 (2023) - [i57]Yize Chen, Deepjyoti Deka, Yuanyuan Shi:
Contributions of Individual Generators to Nodal Carbon Emissions. CoRR abs/2311.03712 (2023) - 2022
- [j15]Siddharth Bhela, Harsha Nagarajan, Deepjyoti Deka, Vassilis Kekatos:
Efficient Topology Design Algorithms for Power Grid Stability. IEEE Control. Syst. Lett. 6: 1100-1105 (2022) - [j14]Guanze Peng, Robert Mieth, Deepjyoti Deka, Yury Dvorkin:
Markovian Decentralized Ensemble Control for Demand Response. IEEE Control. Syst. Lett. 6: 3050-3055 (2022) - [j13]Deepjyoti Deka, Harish Doddi, Sidhant Misra, Murti V. Salapaka:
Tractable Learning in Underexcited Power Grids. IEEE Trans. Control. Netw. Syst. 9(2): 763-774 (2022) - [j12]Ali Hassan, Deepjyoti Deka, Yury Dvorkin:
Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach. IEEE Trans. Smart Grid 13(1): 255-267 (2022) - [c31]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: 9982-9997 - [i56]Sina Sontowski, Nigel Lawrence, Deepjyoti Deka, Maanak Gupta:
Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids. CoRR abs/2201.02236 (2022) - [i55]Guanze Peng, Robert Mieth, Deepjyoti Deka, Yury Dvorkin:
Markovian Decentralized Ensemble Control for Demand Response. CoRR abs/2206.01912 (2022) - [i54]Deepjyoti Deka, Vassilis Kekatos, Guido Cavraro:
Learning Distribution Grid Topologies: A Tutorial. CoRR abs/2206.10837 (2022) - [i53]Md Umar Hashmi, Deepjyoti Deka, Ana Busic, Dirk Van Hertem:
Can locational disparity of prosumer energy optimization due to inverter rules be limited? CoRR abs/2207.10248 (2022) - [i52]Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Semen Budenny, Yury Maximov, Deepjyoti Deka:
Data-Driven Stochastic AC-OPF using Gaussian Processes. CoRR abs/2207.10781 (2022) - [i51]Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka:
Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes. CoRR abs/2208.14814 (2022) - [i50]Aleksandra Burashnikova, Wenting Li, Massih Amini, Deepjyoti Deka, Yury Maximov:
Ranking-Based Physics-Informed Line Failure Detection in Power Grids. CoRR abs/2209.01021 (2022) - 2021
- [j11]Mohini Bariya, Deepjyoti Deka, Alexandra von Meier:
Guaranteed Phase & Topology Identification in Three Phase Distribution Grids. IEEE Trans. Smart Grid 12(4): 3605-3612 (2021) - [c30]Sina Sontowski, Nigel Lawrence, Deepjyoti Deka, Maanak Gupta:
Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids. IEEE BigData 2021: 2434-2441 - [i49]Ali Hassan, Deepjyoti Deka, Yury Dvorkin:
Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach. CoRR abs/2103.10828 (2021) - [i48]Wenting Li, Deepjyoti Deka:
Physics-Informed Graph Learning for Robust Fault Location in Distribution Systems. CoRR abs/2107.02275 (2021) - [i47]Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti V. Salapaka:
Learning Networked Linear Dynamical Systems under Non-white Excitation from a Single Trajectory. CoRR abs/2110.00852 (2021) - 2020
- [j10]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) - [j9]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): 1457-1474 (2020) - [j8]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): 1391-1403 (2020) - [j7]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): 1428-1440 (2020) - [j6]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): 1759-1770 (2020) - [j5]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): 4299-4310 (2020) - [c29]Md Umar Hashmi, Ana Busic, Deepjyoti Deka, Lucas Pereira:
Energy Storage Optimization for Grid Reliability. e-Energy 2020: 516-522 - [i46]Md Umar Hashmi, Deepjyoti Deka, Lucas Pereira, Ana Busic:
Energy Storage Optimization for Grid Reliability. CoRR abs/2004.08770 (2020) - [i45]Ali Hassan, Deepjyoti Deka, Michael Chertkov, Yury Dvorkin:
Data-Driven Learning and Load Ensemble Control. CoRR abs/2004.09675 (2020) - [i44]Deepjyoti Deka, Harish Doddi, Sidhant Misra, Murti V. Salapaka:
Tractable learning in under-excited power grids. CoRR abs/2005.01818 (2020) - [i43]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 abs/2005.02339 (2020) - [i42]Mohini Bariya, Deepjyoti Deka, Alexandra von Meier:
Guaranteed Phase & Topology Identification in Three Phase Distribution Grids. CoRR abs/2008.01255 (2020) - [i41]Wenting Li, Deepjyoti Deka:
Physics Regulated Neural Network for High Impedance Faults Detection. CoRR abs/2008.02364 (2020) - [i40]Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti V. Salapaka:
Estimating Linear Dynamical Networks of Cyclostationary Processes. CoRR abs/2009.12667 (2020) - [i39]Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar, Andy Lamperski, Murti V. Salapaka:
Topology Learning in Radial Dynamical Systems with Unreliable Data. CoRR abs/2009.13458 (2020)
2010 – 2019
- 2019
- [j4]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): 5186-5195 (2019) - [c28]Siddharth Bhela, Deepjyoti Deka, Harsha Nagarajan, Vassilis Kekatos:
Designing Power Grid Topologies for Minimizing Network Disturbances: An Exact MILP Formulation. ACC 2019: 1949-1956 - [c27]Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka:
Exact Topology Learning in a Network of Cyclostationary Processes. ACC 2019: 4968-4973 - [c26]Yize Chen, Md Umar Hashmi, Deepjyoti Deka, Michael Chertkov:
Stochastic Battery Operations using Deep Neural Networks. ISGT 2019: 1-5 - [i38]Nikolay Stulov, Dejan J. Sobajic, Yury Maximov, Deepjyoti Deka, Michael Chertkov:
Learning a Generator Model from Terminal Bus Data. CoRR abs/1901.00781 (2019) - [i37]Deepjyoti Deka, Sidhant Misra:
Learning for DC-OPF: Classifying active sets using neural nets. CoRR abs/1902.05607 (2019) - [i36]Md Umar Hashmi, Deepjyoti Deka, Ana Busic, Lucas Pereira, Scott Backhaus:
Arbitrage with Power Factor Correction using Energy Storage. CoRR abs/1903.06132 (2019) - [i35]Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka:
Exact Topology Learning in a Network of Cyclostationary Processes. CoRR abs/1903.09210 (2019) - [i34]Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, Murti V. Salapaka:
Graphical Models in Loopy Distribution Grids: Topology estimation, change detection and limitation. CoRR abs/1905.06550 (2019) - [i33]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 abs/1910.03662 (2019) - [i32]Ilyès Mezghani, Sidhant Misra, Deepjyoti Deka:
Stochastic AC Optimal Power Flow: A Data-Driven Approach. CoRR abs/1910.09144 (2019) - [i31]Ali Hassan, Robert Mieth, Deepjyoti Deka, Yury Dvorkin:
Stochastic and Distributionally Robust Load Ensemble Control. CoRR abs/1912.06000 (2019) - 2018
- [j3]Colin Grudzien, Deepjyoti Deka, Michael Chertkov, Scott N. Backhaus:
Structure- and Physics-Preserving Reductions of Power Grid Models. Multiscale Model. Simul. 16(4): 1916-1947 (2018) - [j2]Deepjyoti Deka, Scott Backhaus, Michael Chertkov:
Structure Learning in Power Distribution Networks. IEEE Trans. Control. Netw. Syst. 5(3): 1061-1074 (2018) - [c25]Sejun Park, Deepjyoti Deka, Michael Chertkov:
Learning in Power Distribution Grids under Correlated Injections. ACSSC 2018: 1863-1868 - [c24]Saurav Talukdar, Deepjyoti Deka, Michael Chertkov, Murti V. Salapaka:
Topology Learning of Radial Dynamical Systems with Latent Nodes. ACC 2018: 1096-1101 - [c23]Andrey Y. Lokhov, Deepjyoti Deka, Marc Vuffray, Michael Chertkov:
Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations. CDC 2018: 4008-4013 - [c22]Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka:
Data-Driven Identification of a Thermal Network in Multi-Zone Building. CDC 2018: 7302-7307 - [c21]Yize Chen, Yushi Tan, Deepjyoti Deka:
Is Machine Learning in Power Systems Vulnerable? SmartGridComm 2018: 1-6 - [i30]Saurav Talukdar, Deepjyoti Deka, Michael Chertkov, Murti V. Salapaka:
Topology Learning of Radial Dynamical Systems with Latent Nodes. CoRR abs/1803.02793 (2018) - [i29]Sejun Park, Deepjyoti Deka, Scott Backhaus, Michael Chertkov:
Learning with End-Users in Distribution Grids: Topology and Parameter Estimation. CoRR abs/1803.04812 (2018) - [i28]Deepjyoti Deka, Michael Chertkov, Scott Backhaus:
Topology Estimation using Graphical Models in Multi-Phase Power Distribution Grids. CoRR abs/1803.06531 (2018) - [i27]Deepjyoti Deka, Michael Chertkov, Scott Backhaus:
Joint Estimation of Topology \& Injection Statistics in Distribution Grids with Missing Nodes. CoRR abs/1804.04742 (2018) - [i26]Ali Hassan, Robert Mieth, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin:
Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow. CoRR abs/1805.09116 (2018) - [i25]Yize Chen, Yushi Tan, Deepjyoti Deka:
Is Machine Learning in Power Systems Vulnerable? CoRR abs/1808.08197 (2018) - [i24]Saurav Talukdar, Deepjyoti Deka, Harish Doddi, Donatello Materassi, Misha Chertkov, Murti V. Salapaka:
Physics Informed Topology Learning in Networks of Linear Dynamical Systems. CoRR abs/1809.10535 (2018) - [i23]Wenting Li, Deepjyoti Deka, Michael Chertkov, Meng Wang:
Real-time Fault Localization in Power Grids With Convolutional Neural Networks. CoRR abs/1810.05247 (2018) - [i22]Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka:
Data-driven identification of a thermal network in multi-zone building. CoRR abs/1810.07400 (2018) - 2017
- [j1]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): 2794-2802 (2017) - [c20]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: 813-818 - [c19]Deepjyoti Deka, Harsha Nagarajan, Scott Backhaus:
Optimal topology design for disturbance minimization in power grids. ACC 2017: 2719-2724 - [c18]Saurav Talukdar, Deepjyoti Deka, Sandeep Attree, Donatello Materassi, Murti V. Salapaka:
Learning the exact topology of undirected consensus networks. CDC 2017: 5784-5789 - [c17]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: 222-227 - [c16]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: 1075-1079 - [c15]Deepjyoti Deka, Michael Chertkov, Scott Backhaus:
Estimating topology and injection statistics in distribution grids with hidden nodes. SmartGridComm 2017: 71-76 - [c14]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: 423-429 - [i21]Deepjyoti Deka, Harsha Nagarajan, Scott Backhaus:
Optimal Topology Design for Disturbance Minimization in Power Grids. CoRR abs/1703.00558 (2017) - [i20]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 abs/1703.00847 (2017) - [i19]Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, Murti V. Salapaka:
Topology Estimation in Bulk Power Grids: Guarantees on Exact Recovery. CoRR abs/1707.01596 (2017) - [i18]Colin Grudzien, Deepjyoti Deka, Michael Chertkov, Scott Backhaus:
Structure- & Physics- Preserving Reductions of Power Grid Models. CoRR abs/1707.03672 (2017) - [i17]Saurav Talukdar, Deepjyoti Deka, Sandeep Attree, Donatello Materassi, Murti V. Salapaka:
Learning the Exact Topology of Undirected Consensus Networks. CoRR abs/1710.00032 (2017) - [i16]Ali Hassan, Yury Dvorkin, Deepjyoti Deka, Michael Chertkov:
Chance-Constrained ADMM Approach for Decentralized Control of Distributed Energy Resources. CoRR abs/1710.09738 (2017) - [i15]Michael Chertkov, Deepjyoti Deka, Yury Dvorkin:
Optimal Ensemble Control of Loads in Distribution Grids with Network Constraints. CoRR abs/1710.09924 (2017) - [i14]Andrey Y. Lokhov, Marc Vuffray, Dmitry Shemetov, Deepjyoti Deka, Michael Chertkov:
Online Learning of Power Transmission Dynamics. CoRR abs/1710.10021 (2017) - [i13]Sejun Park, Deepjyoti Deka, Michael Chertkov:
Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability. CoRR abs/1710.10727 (2017) - 2016
- [c13]Deepjyoti Deka, Scott Backhaus, Michael Chertkov:
Tractable structure learning in radial physical flow networks. CDC 2016: 6631-6638 - [c12]Deepjyoti Deka, Scott Backhaus, Michael Chertkov:
Learning topology of the power distribution grid with and without missing data. ECC 2016: 313-320 - [c11]Deepjyoti Deka, Ross Baldick, Sriram Vishwanath:
Jamming Aided Generalized Data Attacks: Exposing Vulnerabilities in Secure Estimation. HICSS 2016: 2556-2565 - [c10]Deepjyoti Deka, Scott Backhaus, Michael Chertkov:
Estimating distribution grid topologies: A graphical learning based approach. PSCC 2016: 1-7 - [c9]Deepjyoti Deka, Scott Backhaus, Michael Chertkov:
Learning topology of distribution grids using only terminal node measurements. SmartGridComm 2016: 205-211 - [i12]Deepjyoti Deka, Scott Backhaus, Michael Chertkov:
Estimating Distribution Grid Topologies: A Graphical Learning based Approach. CoRR abs/1602.08509 (2016) - [i11]Deepjyoti Deka, Scott Backhaus, Michael Chertkov:
Learning Topology of the Power Distribution Grid with and without Missing Data. CoRR abs/1603.01650 (2016) - [i10]Deepjyoti Deka, Scott Backhaus, Michael Chertkov:
Learning Topology of Distribution Grids using only Terminal Node Measurements. CoRR abs/1608.05031 (2016) - [i9]Deepjyoti Deka, Scott Backhaus, Michael Chertkov:
Tractable Structure Learning in Radial Physical Flow Networks. CoRR abs/1608.05064 (2016) - 2015
- [c8]Deepjyoti Deka, Ross Baldick, Sriram Vishwanath:
Data attacks on power grids: Leveraging detection. ISGT 2015: 1-5 - [c7]Deepjyoti Deka, Sriram Vishwanath:
Structural vulnerability of power grids to disasters: Bounds and reinforcement measures. ISGT 2015: 1-5 - [c6]Deepjyoti Deka, Ross Baldick, Sriram Vishwanath:
Optimal data attacks on power grids: Leveraging detection & measurement jamming. SmartGridComm 2015: 392-397 - [i8]Deepjyoti Deka, Scott Backhaus, Michael Chertkov:
Structure Learning in Power Distribution Networks. CoRR abs/1501.04131 (2015) - [i7]Deepjyoti Deka, Ross Baldick, Sriram Vishwanath:
Data Attacks on Power Grids: Leveraging Detection. CoRR abs/1505.01881 (2015) - [i6]Deepjyoti Deka, Ross Baldick, Sriram Vishwanath:
One Breaker is Enough: Hidden Topology Attacks on Power Grids. CoRR abs/1506.04303 (2015) - [i5]Deepjyoti Deka, Ross Baldick, Sriram Vishwanath:
Optimal Data Attacks on Power Grids: Leveraging Detection & Measurement Jamming. CoRR abs/1506.04541 (2015) - [i4]Deepjyoti Deka, Ross Baldick, Sriram Vishwanath:
Jamming aided Generalized Data Attacks: Exposing Vulnerabilities in Secure Estimation. CoRR abs/1509.04639 (2015) - [i3]Deepjyoti Deka, Sriram Vishwanath:
Structural Vulnerability of Power Grids to Disasters: Bounds, Adversarial Attacks and Reinforcement. CoRR abs/1509.07449 (2015) - 2014
- [c5]Deepjyoti Deka, Ross Baldick, Sriram Vishwanath:
Optimal hidden SCADA attacks on power grid: A graph theoretic approach. ICNC 2014: 36-40 - [c4]Deepjyoti Deka, Sriram Vishwanath:
Generative models for cellular social networks. ICNC 2014: 1108-1112 - [c3]Deepjyoti Deka, Ross Baldick, Sriram Vishwanath:
Attacking power grids with secure meters: The case for breakers and Jammers. INFOCOM Workshops 2014: 646-651 - [i2]Deepjyoti Deka, Ross Baldick, Sriram Vishwanath:
Hidden Attacks on Power Grid: Optimal Attack Strategies and Mitigation. CoRR abs/1401.3274 (2014) - 2013
- [c2]Deepjyoti Deka, Sriram Vishwanath:
Generative Growth Model for Power Grids. SITIS 2013: 591-598 - 2012
- [i1]Deepjyoti Deka, Sriram Vishwanath:
Network Models for Power Grids: A Generative Approach. CoRR abs/1204.0165 (2012) - 2011
- [c1]Deepjyoti Deka, Sriram Vishwanath:
PMU placement and error control using belief propagation. SmartGridComm 2011: 552-557
Coauthor Index
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