Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid | Paper Citation Record

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid https://matpower.org/docs/ref/matpower5.0/case2383wp.html

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid https://labs.ece.uw.edu/pstca/pf30/pg_tca30bus.htm

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid https://www.pjm.com/~/media/documents/manuals/m12

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid C., Zhao, Y., and Philip, S

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This paper cites The continuation power flow: a tool for steady state voltage stability analysis.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid The continuation power flow: a tool for steady state voltage stability analysis

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Event detection in time series of mobile communication graphs

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Oddball: Spotting anomalies in weighted graphs

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Generalized state estimation

Reference 12

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Computational complexity in power systems

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid E., and Koutra, D

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid M., K riegel, H.-P ., Ng, R

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid J., P runeda, R

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This paper cites Optimal placement of phasor measurement units for power system observability.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Optimal placement of phasor measurement units for power system observability

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This paper cites Placement of pmus to enable bad data detection in state estimation.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Placement of pmus to enable bad data detection in state estimation

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Markov random fields in statistics

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Markov fields on finite graphs and lattices

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Risk assessment in energy trading

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid C., A sada, E

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Structure learning in power distribution networks

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Warm-starting ac optimal power flow with graph neural networks

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Robust state estimation using node-breaker substation models and phasor measurements

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Graph neural solver for power systems

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid DC3: A learning method for optimization with hard constraints

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid NeuroMANCER: Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Distributed generation: challenges and possible solutions

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid T., Hackworth, C

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid M., Nezamabadi-pour, H., Song, Y

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Contingency ranking with respect to overloads in very large power systems taking into account uncertainty, preventive, and corrective actions

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Lav based robust state estimation for systems measured by pmus

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Hamiltonian neural networks

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid C., Kohlas, J., and Fiechter, A

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Statistical learning with sparsity: the lasso and generalizations

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid A., P andey, A., J ereminov, M., P ileggi, L., and Faloutsos, C

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Physics-guided deep neural networks for power flow analysis

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid A., and Baldick, R

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid 1115–1132

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid D., G yamfi, S., Tanyi, E., and Effah-Donyina, E

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid M., Pandey, A., Wagner, M

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Equivalent circuit formulation for solving ac optimal power flow

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Anomaly detection in real-valued multidi- mensional time series

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE

Reference 57

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid An equivalent circuit formulation for power system state estimation including pmus

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid A linear formulation for power system state estimation including RTU and PMU measurements

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Enhanced modelling framework for equivalent circuit-based power system state estimation

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Finding the most unusual time series subsequence: algorithms and applications

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid An interior-point method for large-scale l1- regularized least squares

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Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid An interior-point method for large-scale l1-regularized logistic regression

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Observation 5bc6fe87-e871-45c5-914b-3303583af6f4 · outbound

This paper cites Probabilistic graphical models: Principles and techniques, 2009.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Probabilistic graphical models: Principles and techniques, 2009

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:14.806294Z

Source-reported events for the cited work

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Observation 90c1cec0-74c5-444b-ac3c-6d84138593f9 · outbound

This paper cites W., and Vidyasagar, M.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid W., and Vidyasagar, M

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:14.809740Z

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Observation 81073e0e-afbf-4c81-ace6-7942a8200dd3 · outbound

This paper cites A summary of the recent extreme weather events and their impacts on electricity.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid A summary of the recent extreme weather events and their impacts on electricity

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:14.812854Z

Source-reported events for the cited work

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Observation e321d8e9-6198-4a42-b30d-3f216c703939 · outbound

This paper cites State Estimation in Electric Power Systems Leveraging Graph Neural Networks.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid State Estimation in Electric Power Systems Leveraging Graph Neural Networks

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:41:15.304613Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 80a22f9f-bcdb-4afe-9b12-6a7706dae221 · outbound

This paper cites M., A ssante, M., and Conway, T.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid M., A ssante, M., and Conway, T

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:14.819835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb6426db-e9ba-4fb9-9efb-90d814dd2359 · outbound

This paper cites Power grid behavioral patterns and risks of generalization in applied machine learning.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Power grid behavioral patterns and risks of generalization in applied machine learning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:14.823757Z

Source-reported events for the cited work

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Observation a2bb600a-4431-4b49-905e-e8a6d12a021a · outbound

This paper cites R., P ileggi, L., and Vrabie, D.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid R., P ileggi, L., and Vrabie, D

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:14.827859Z

Source-reported events for the cited work

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Observation e0b77236-15a5-4d29-8c20-516bd0cb7e31 · outbound

This paper cites A lasso-inspired approach for localizing power system infeasibility.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid A lasso-inspired approach for localizing power system infeasibility

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:14.831452Z

Source-reported events for the cited work

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Observation a11f068f-9d21-4334-b432-6c284ce46ed6 · outbound

This paper cites Dynamic graph-based anomaly detection in the electrical grid.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Dynamic graph-based anomaly detection in the electrical grid

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:14.835342Z

Source-reported events for the cited work

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Observation 9fba91e3-5310-44ba-af48-6635c959b48a · outbound

This paper cites A circuit-theoretic approach to state estimation.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid A circuit-theoretic approach to state estimation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:14.838884Z

Source-reported events for the cited work

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Observation 765cbc9d-1ad8-408b-92fc-788d2e4c46c5 · outbound

This paper cites A circuit-theoretic approach to state estimation.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid A circuit-theoretic approach to state estimation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:14.842445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb514d4c-ed3f-4cf8-b6af-9f46834e124c · outbound

This paper cites A Convex Method of Generalized State Estimation using Circuit-theoretic Node-breaker Model.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid A Convex Method of Generalized State Estimation using Circuit-theoretic Node-breaker Model

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:41:15.286924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba91beb4-5ddd-4e47-bc64-150791bee484 · outbound

This paper cites A wlav-based robust hybrid state estimation using circuit- theoretic approach.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid A wlav-based robust hybrid state estimation using circuit- theoretic approach

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:14.849806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67fe4907-cab0-443a-a199-1336875aee0a · outbound

This paper cites Towards Practical Physics-Informed ML Design and Evaluation for Power Grid.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Towards Practical Physics-Informed ML Design and Evaluation for Power Grid

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:41:15.268891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 18857d0a-aec2-4161-a894-3a51f3b10ef5 · outbound

This paper cites Contingency analysis with warm starter using probabilistic graphical model.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Contingency analysis with warm starter using probabilistic graphical model

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:16.134489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 68137940-cbf6-4be8-8fa8-fc9d1e5d0f8d · outbound

This paper cites Real-Time Contingency Analysis with Corrective Transmission Switching - Part I: Methodology.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Real-Time Contingency Analysis with Corrective Transmission Switching - Part I: Methodology

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:41:15.253123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 336ad057-424c-4e54-b667-f1917a1759c6 · outbound

This paper cites R., and Dong, Z.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid R., and Dong, Z

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:16.122908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation baa670ba-ef5c-44d9-9775-23b99cc9c3ef · outbound

This paper cites Robust state estimation against measurement and network parameter errors.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Robust state estimation against measurement and network parameter errors

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:16.111914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 75882943-1193-499f-93bc-cc1ab0d38d8b · outbound

This paper cites an unresolved cited work.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:41:16.100573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a652e861-eed4-466a-8717-c2018dd996f0 · outbound

This paper cites T., Ting, K.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid T., Ting, K

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:16.089011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 55ce7126-7885-4806-9c85-d0f6c16810d2 · outbound

This paper cites an unresolved cited work.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:41:16.077476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6e9d903f-53ed-426f-b2a0-698d49324a64 · outbound

This paper cites M., C oelho, E.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid M., C oelho, E

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:16.065096Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e6aa7023-9172-4540-89a0-96c46e23dbe3 · outbound

This paper cites Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:14.887049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15e4f793-81e7-4855-998d-e98d327dd347 · outbound

This paper cites A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:41:15.224873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a58c49e3-50a4-426f-bbb7-dac3859877b8 · outbound

This paper cites an unresolved cited work.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:41:16.052954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e115b36b-8092-4df0-9631-2681636553c2 · outbound

This paper cites an unresolved cited work.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:41:16.039872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b1a961b-0ee1-4e53-8847-bf1d4a2261fc · outbound

This paper cites J.,and Khardenvis, M.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid J.,and Khardenvis, M

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:16.027949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0e10b70b-b9b2-41db-9c13-3ee3566822e6 · outbound

This paper cites E., F aloutsos, C., and Singh, A.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid E., F aloutsos, C., and Singh, A

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:16.016605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 936b0c91-62f5-4aa3-bae9-29453120ee65 · outbound

This paper cites "State estimation in electric power systems: a generalized approach.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid "State estimation in electric power systems: a generalized approach

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:16.005265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e8d043fa-fea5-419d-8ec2-ed815359aada · outbound

This paper cites State estimation in electric power systems: a generalized approach.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid State estimation in electric power systems: a generalized approach

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:15.994026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 08572108-44b4-46ac-be81-acef1a018914 · outbound

This paper cites Reliable bad data processing for real-time state estimation.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Reliable bad data processing for real-time state estimation

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:15.982916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d03d6ed-2785-406e-a1ab-66c8c60707b8 · outbound

This paper cites an unresolved cited work.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:41:15.971381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0136f1df-b536-4252-8fac-4a3997dc6112 · outbound

This paper cites Reliability guideline: Pmu placement and installation, 2016.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Reliability guideline: Pmu placement and installation, 2016

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:15.960012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1f228286-4248-46d0-9049-dd4eda1e657e · outbound

This paper cites K., and McFadden, D.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid K., and McFadden, D

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:15.949363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0614be90-2145-45f6-ba03-30040da66191 · outbound

This paper cites Big data synchrophasor analysis.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Big data synchrophasor analysis

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:15.937592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 25183256-c57f-45cc-b29e-9e78009e6d61 · outbound

This paper cites On the feasibility of load-changing attacks in power systems during the covid-19 pandemic.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid On the feasibility of load-changing attacks in power systems during the covid-19 pandemic

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:15.927158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f1415a8f-677f-43cf-adef-c62e200e6f4b · outbound

This paper cites an unresolved cited work.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:41:15.915868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3eaa932e-a7dc-4443-8ab3-5ffe57c51daf · outbound

This paper cites Optimal power flow using graph neural networks.

Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid Optimal power flow using graph neural networks

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:15.903838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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