Deepjyoti Deka

Identifiers

• name variant Deepjyoti Deka 0.60 · backfill

Papers (82)

1. Watts vs. Bytes: Turning Data Centers into Grid Assets via Storage Compute Co-Optimization eess.SY · 2026 · author #3
2. Coordinated Dynamic Operating Envelopes for Unlocking Additional Flexibility at Grid Edge eess.SY · 2026 · author #2
3. Strategic Spatial Load Shifting and Market Efficiency eess.SY · 2026 · author #2
4. A Family of Convex Models to Achieve Fairness through Dispersion Control math.OC · 2025 · author #2
5. Stability-Constrained AC Optimal Power Flow--A Gaussian Process-Based Approach math.OC · 2025 · author #4
6. Gaussian Processes in Power Systems: Techniques, Applications, and Future Works eess.SY · 2025 · author #9
7. Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes eess.SY · 2025 · author #3
8. A Parametric, Second-Order Cone Representable Model of Fairness for Decision-Making Problems math.OC · 2024 · author #2
9. Learning Networks from Wide-Sense Stationary Stochastic Processes stat.ML · 2024 · author #4
10. Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach cs.LG · 2024 · author #4
11. Equitable Routing--Rethinking the Multiple Traveling Salesman Problem math.OC · 2024 · author #2
12. Contributions of Individual Generators to Nodal Carbon Emissions eess.SY · 2023 · author #2
13. Fairly Extreme: Minimizing Outages Equitably math.OC · 2023 · author #2
14. Data-Efficient Strategies for Probabilistic Voltage Envelopes under Network Contingencies cs.LG · 2023 · author #2
15. Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs stat.ML · 2023 · author #2
16. Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk eess.SY · 2023 · author #3
17. Mitigating the Impact of Uncertain Wildfire Risk on Power Grids through Topology Control eess.SY · 2023 · author #3
18. GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow stat.ML · 2023 · author #7
19. Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex QCQPs math.OC · 2022 · author #3
20. Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes eess.SY · 2022 · author #6
21. Data-Driven Stochastic AC-OPF using Gaussian Processes stat.ML · 2022 · author #7
22. Can locational disparity of prosumer energy optimization due to inverter rules be limited? eess.SY · 2022 · author #2
23. Learning Distribution Grid Topologies: A Tutorial math.OC · 2022 · author #1
24. Markovian Decentralized Ensemble Control for Demand Response eess.SY · 2022 · author #3
25. Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids cs.CR · 2022 · author #3
26. DNN-based Policies for Stochastic AC OPF math.OC · 2021 · author #3
27. Importance sampling approach to chance-constrained DC optimal power flow math.OC · 2021 · author #4
28. Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs cs.LG · 2021 · author #2
29. PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels cs.LG · 2021 · author #2
30. Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach eess.SY · 2021 · author #2
31. Efficient Topology Design Algorithms for Power Grid Stability math.OC · 2021 · author #3
32. Topology Learning in Radial Dynamical Systems with Unreliable Data eess.SY · 2020 · author #2
33. Topology Learning of unknown Networked Linear Dynamical System excited by Cyclostationary inputs math.OC · 2020 · author #2
34. Physics-Informed Learning for High Impedance Faults Detection eess.SP · 2020 · author #2
35. Guaranteed Phase & Topology Identification in Three Phase Distribution Grids eess.SY · 2020 · author #2
36. A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications eess.SY · 2020 · author #4
37. Tractable learning in under-excited power grids eess.SY · 2020 · author #1
38. Data-Driven Learning and Load Ensemble Control eess.SY · 2020 · author #2
39. Energy Storage Optimization for Grid Reliability eess.SY · 2020 · author #2
40. Stochastic and Distributionally Robust Load Ensemble Control eess.SY · 2019 · author #3
41. Real-time Anomaly Detection and Classification in Streaming PMU Data eess.SP · 2019 · author #2
42. Stochastic AC Optimal Power Flow: A Data-Driven Approach eess.SY · 2019 · author #3
43. An Adversarial Model for Attack Vector Vulnerability Analysis on Power and Gas Delivery Operations eess.SY · 2019 · author #4
44. Graphical Models in Meshed Distribution Grids: Topology estimation, change detection and limitations eess.SY · 2019 · author #1
45. Exact Topology Learning in a Network of Cyclostationary Processes eess.SY · 2019 · author #3
46. Designing Power Grid Topologies for Minimizing Network Disturbances: An Exact MILP Formulation math.OC · 2019 · author #2
47. Arbitrage with Power Factor Correction using Energy Storage eess.SY · 2019 · author #2
48. Designing reactive power control rules for smart inverters using support vector machines math.OC · 2019 · author #4
49. Learning for DC-OPF: Classifying active sets using neural nets cs.SY · 2019 · author #1
50. Learning a Generator Model from Terminal Bus Data stat.ML · 2019 · author #4
51. Data-driven identification of a thermal network in multi-zone building cs.SY · 2018 · author #3
52. Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks cs.SY · 2018 · author #2
53. Physics Informed Topology Learning in Networks of Linear Dynamical Systems cs.SY · 2018 · author #2
54. Is Machine Learning in Power Systems Vulnerable? cs.SY · 2018 · author #3
55. Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow cs.SY · 2018 · author #4
56. Joint Estimation of Topology and Injection Statistics in Distribution Grids with Missing Nodes eess.SY · 2018 · author #1
57. Topology Estimation using Graphical Models in Multi-Phase Power Distribution Grids cs.SY · 2018 · author #1
58. Learning with End-Users in Distribution Grids: Topology and Parameter Estimation eess.SY · 2018 · author #2
59. Topology Learning of Radial Dynamical Systems with Latent Nodes cs.SY · 2018 · author #2
60. Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability cs.SY · 2017 · author #2
61. Online Learning of Power Transmission Dynamics cs.SY · 2017 · author #4
62. Chance-Constrained ADMM Approach for Decentralized Control of Distributed Energy Resources cs.SY · 2017 · author #3
63. Learning the Exact Topology of Undirected Consensus Networks cs.SY · 2017 · author #2
64. Structure- & Physics- Preserving Reductions of Power Grid Models cs.SY · 2017 · author #2
65. Topology Estimation in Bulk Power Grids: Guarantees on Exact Recovery math.OC · 2017 · author #1
66. Learning Exact Topology of a Loopy Power Grid from Ambient Dynamics math.OC · 2017 · author #2
67. Exact Topology Reconstruction of Radial Dynamical Systems with Applications to Distribution System of the Power Grid cs.LG · 2017 · author #2
68. Optimal Topology Design for Disturbance Minimization in Power Grids cs.SY · 2017 · author #1
69. Ensemble Control of Cycling Energy Loads: Markov Decision Approach cs.SY · 2017 · author #3
70. Tractable Structure Learning in Radial Physical Flow Networks math.OC · 2016 · author #1
71. Learning Topology of Distribution Grids using only Terminal Node Measurements math.OC · 2016 · author #1
72. Learning Topology of the Power Distribution Grid with and without Missing Data math.OC · 2016 · author #1
73. Estimating Distribution Grid Topologies: A Graphical Learning based Approach math.OC · 2016 · author #1
74. Structural Vulnerability of Power Grids to Disasters: Bounds, Adversarial Attacks and Reinforcement cs.SY · 2015 · author #1
75. Jamming aided Generalized Data Attacks: Exposing Vulnerabilities in Secure Estimation cs.CR · 2015 · author #1
76. Optimal Data Attacks on Power Grids: Leveraging Detection & Measurement Jamming cs.CR · 2015 · author #1
77. One Breaker is Enough: Hidden Topology Attacks on Power Grids cs.CR · 2015 · author #1
78. Data Attacks on Power Grids: Leveraging Detection cs.CR · 2015 · author #1
79. Structure Learning and Statistical Estimation in Distribution Networks - Part II math.OC · 2015 · author #1
80. Structure Learning and Statistical Estimation in Distribution Networks - Part I math.OC · 2015 · author #1
81. Hidden Attacks on Power Grid: Optimal Attack Strategies and Mitigation cs.CR · 2014 · author #1
82. Analytical Models for Power Networks: The case of the Western US and ERCOT grids cs.SI · 2012 · author #1

Mentions

• 2301.00306 #3 · arxiv_oai · confidence 0.70 Deepjyoti Deka
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Frequent Coauthors

• Michael Chertkov 23 shared papers
• Saurav Talukdar 11 shared papers
• Scott Backhaus 11 shared papers
• Murti Salapaka 9 shared papers
• Kaarthik Sundar 8 shared papers
• Sidhant Misra 7 shared papers
• Sriram Vishwanath 7 shared papers
• Yury Dvorkin 7 shared papers
• Ali Hassan 6 shared papers
• Harish Doddi 6 shared papers
• Murti V. Salapaka 5 shared papers
• Parikshit Pareek 5 shared papers
• Petr Vorobev 5 shared papers
• Ross Baldick 5 shared papers
• Vassilis Kekatos 5 shared papers
• Yury Maximov 5 shared papers
• Harsha Nagarajan 4 shared papers
• Aleksandr Lukashevich 3 shared papers
• Donatello Materassi 3 shared papers
• Md Umar Hashmi 3 shared papers