Deepjyoti Deka
Deepjyoti Deka
Scientist, Theoretical Division, Los Alamos National Laboratory, UT Austin PhD
Dirección de correo verificada de lanl.gov - Página principal
Título
Citado por
Citado por
Año
Structure Learning in Power Distribution Networks
D Deka, S Backhaus, M Chertkov
IEEE Transactions on Control of Network Systems, 2017
151*2017
Estimating distribution grid topologies: A graphical learning based approach
D Deka, S Backhaus, M Chertkov
2016 Power Systems Computation Conference (PSCC), 1-7, 2016
662016
Exact topology and parameter estimation in distribution grids with minimal observability
S Park, D Deka, M Chcrtkov
2018 Power Systems Computation Conference (PSCC), 1-6, 2018
432018
Big Data Application in Power Systems
R Arghandeh, Y Zhou
Big Data Application in Power Systems, 480, 2018
342018
Optimal data attacks on power grids: Leveraging detection & measurement jamming
D Deka, R Baldick, S Vishwanath
2015 IEEE International Conference on Smart Grid Communications …, 2015
332015
Learning topology of the power distribution grid with and without missing data
D Deka, S Backhaus, M Chertkov
2016 European Control Conference (ECC), 313-320, 2016
312016
Learning for DC-OPF: Classifying active sets using neural nets
D Deka, S Misra
2019 IEEE Milan PowerTech, 1-6, 2019
302019
Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks
W Li, D Deka, M Chertkov, M Wang
IEEE Transactions on Power Systems 34 (6), 4640-4651, 2019
302019
Learning topology of distribution grids using only terminal node measurements
D Deka, S Backhaus, M Chertkov
2016 IEEE International Conference on Smart Grid Communications …, 2016
292016
Is machine learning in power systems vulnerable?
Y Chen, Y Tan, D Deka
2018 IEEE International Conference on Communications, Control, and Computing …, 2018
282018
Chance-constrained ADMM approach for decentralized control of distributed energy resources
A Hassan, Y Dvorkin, D Deka, M Chertkov
2018 Power Systems Computation Conference (PSCC), 1-7, 2018
252018
Topology estimation using graphical models in multi-phase power distribution grids
D Deka, M Chertkov, S Backhaus
IEEE Transactions on Power Systems 35 (3), 1663-1673, 2019
232019
Exact topology reconstruction of radial dynamical systems with applications to distribution system of the power grid
S Talukdar, D Deka, D Materassi, M Salapaka
2017 American Control Conference (ACC), 813-818, 2017
222017
One breaker is enough: hidden topology attacks on power grids
D Deka, R Baldick, S Vishwanath
2015 IEEE Power & Energy Society General Meeting, 1-5, 2015
222015
Topology estimation in bulk power grids: Theoretical guarantees and limits
D Deka, M Chertkov, S Talukdar, MV Salapaka
Bulk Power Systems Dynamics and Control Symposium-IREP, 2017
21*2017
Optimal load ensemble control in chance-constrained optimal power flow
A Hassan, R Mieth, M Chertkov, D Deka, Y Dvorkin
IEEE Transactions on Smart Grid 10 (5), 5186-5195, 2018
202018
Online learning of power transmission dynamics
AY Lokhov, M Vuffray, D Shemetov, D Deka, M Chertkov
2018 Power Systems Computation Conference (PSCC), 1-7, 2018
202018
Ensemble Control of Cycling Energy Loads: Markov Decision Approach
M Chertkov, VY Chernyak, D Deka
Energy Markets and Responsive Grids, 363-382, 2018
202018
Analytical Models for Power Networks: The case of the Western US and ERCOT grids
D Deka, S Vishwanath, R Baldick
IEEE Transactions on Smart Grid 8 (6), 2794--2802, 2017
202017
Learning exact topology of a loopy power grid from ambient dynamics
S Talukdar, D Deka, B Lundstrom, M Chertkov, MV Salapaka
Proceedings of the Eighth International Conference on Future Energy Systems …, 2017
182017
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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