Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems | Paper Citation Record

Observation 539aa05a-3b20-45fd-8bea-fecd115a1459 · outbound

This paper cites Mitigation of saturated cut-sets during multiple outages to enhance power system security,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Mitigation of saturated cut-sets during multiple outages to enhance power system security,

Reference 1

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Observation 9b932cc1-bb17-4de5-a522-2ea5ff60e8eb · outbound

This paper cites A high temporal-spatial resolution power system state estimation method for online DSA,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems A high temporal-spatial resolution power system state estimation method for online DSA,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.817153Z

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Observation 9357caae-3272-4b36-ba3a-121caec9d0d4 · outbound

This paper cites Micro-flexibility: Challenges for power sys- tem modeling and control,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Micro-flexibility: Challenges for power sys- tem modeling and control,

Reference 3

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Observation b2422afe-745a-47c5-817f-7add2e0a97e7 · outbound

This paper cites Real-time equality-constrained hybrid state estimation in complex variables,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Real-time equality-constrained hybrid state estimation in complex variables,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.798096Z

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Observation 55e40e8d-a1d7-469d-b694-1588cb9a72e9 · outbound

This paper cites Algebraic approach to PMU place- ment for minimum variance linear state estimation in power networks,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Algebraic approach to PMU place- ment for minimum variance linear state estimation in power networks,

Reference 5

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Observation 6428b454-5177-4464-adaa-90a17a7ded38 · outbound

This paper cites A survey of power system state estimation using multiple data sources: PMUs, SCADA, AMI, and beyond,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems A survey of power system state estimation using multiple data sources: PMUs, SCADA, AMI, and beyond,

Reference 6

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Observation 2a6dea51-17d2-4cd5-a608-e5de509e3f2a · outbound

This paper cites A robust state estimation framework considering measurement correlations and imperfect synchronization,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems A robust state estimation framework considering measurement correlations and imperfect synchronization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.773511Z

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Observation d981b56f-e790-44b4-921e-b05bdec01499 · outbound

This paper cites A survey on hybrid SCADA/W AMS state estimation methodologies in electric power transmission systems,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems A survey on hybrid SCADA/W AMS state estimation methodologies in electric power transmission systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.764896Z

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Observation da8c7d66-4cfa-4643-a805-880332c9021c · outbound

This paper cites Power system state esti- mation using PMUs with imperfect synchronization,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Power system state esti- mation using PMUs with imperfect synchronization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.756810Z

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Observation 48c3c1a8-600a-4209-abee-f37981653e31 · outbound

This paper cites Power system real-time monitoring by using PMU-based robust state estimation method,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Power system real-time monitoring by using PMU-based robust state estimation method,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.748616Z

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Observation 64402008-09e1-491e-8008-d34c71662819 · outbound

This paper cites A hybrid power system state es- timator using synchronized and unsynchronized sensors,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems A hybrid power system state es- timator using synchronized and unsynchronized sensors,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.739012Z

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Observation 8f709a3c-f986-485d-b216-dca386129a57 · outbound

This paper cites Analysis of hybrid state estimators: Accuracy and convergence of estimator formulations,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Analysis of hybrid state estimators: Accuracy and convergence of estimator formulations,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.729456Z

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Observation b4adf43d-3a04-4228-9d65-fdd622051e13 · outbound

This paper cites Optimal placement of phasor measurement unit in smart grids considering IEEE TRANSACTIONS ON POWER SYSTEMS 13 multiple constraints,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Optimal placement of phasor measurement unit in smart grids considering IEEE TRANSACTIONS ON POWER SYSTEMS 13 multiple constraints,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.719472Z

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Observation a68738f7-be0b-45f3-8515-49bf45167927 · outbound

This paper cites Deep neural network-based state estimator for transmission system considering practical implementation challenges,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Deep neural network-based state estimator for transmission system considering practical implementation challenges,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.709152Z

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Observation 67540241-b289-4786-89ab-d5148fd5e72d · outbound

This paper cites Neural-network-based power system state estimation with extended observability,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Neural-network-based power system state estimation with extended observability,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.699215Z

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Observation 5bb4796b-9bf0-48c4-9d40-b83ff4226759 · outbound

This paper cites Time synchronized state estimation for incompletely observed distribution systems using deep learning considering realistic measurement noise,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Time synchronized state estimation for incompletely observed distribution systems using deep learning considering realistic measurement noise,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.689610Z

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Observation e3e963a9-c711-4e83-8a6c-d3f789623633 · outbound

This paper cites Learning the unobservable: High-resolution state estimation via deep learning,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Learning the unobservable: High-resolution state estimation via deep learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.679891Z

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Observation f7a96a1d-611f-48b9-bccf-a2951bb92464 · outbound

This paper cites Dynamic detection of transmission line outages using hidden Markov models,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Dynamic detection of transmission line outages using hidden Markov models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.669031Z

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Observation 081405d6-9dee-4ade-aa2c-636e0a5b0828 · outbound

This paper cites Real-time contingency analysis with corrective transmission switching,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Real-time contingency analysis with corrective transmission switching,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.658368Z

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Observation ba12a69c-2846-4345-839b-f2d1c4d0b5c0 · outbound

This paper cites A deep neural network approach for online topology identification in state estimation,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems A deep neural network approach for online topology identification in state estimation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.648367Z

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Observation d35d203f-b960-4f37-be62-4217a8d5f2d0 · outbound

This paper cites State and topology estimation for unobservable distri- bution systems using deep neural networks,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems State and topology estimation for unobservable distri- bution systems using deep neural networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.638629Z

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Observation b641bb70-168a-4dae-8541-7f98fe637f0c · outbound

This paper cites A review of graph neural networks and their applications in power systems,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems A review of graph neural networks and their applications in power systems,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.628796Z

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Observation f5783467-3dfb-4383-912a-7c232436dd9d · outbound

This paper cites Geometric deep learning: going beyond Euclidean data,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Geometric deep learning: going beyond Euclidean data,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.618725Z

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Observation 1a180b23-d9df-4dba-92e8-54b229c059fb · outbound

This paper cites Data-driven priors for robust PSSE via Gauss-Newton unrolled neural networks,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Data-driven priors for robust PSSE via Gauss-Newton unrolled neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.608868Z

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Observation 33f34a17-1dca-4452-a839-a6c966843ac7 · outbound

This paper cites Integrating model- driven and data-driven methods for fast state estimation,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Integrating model- driven and data-driven methods for fast state estimation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.598326Z

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Observation 0b0535b0-e10d-4e3b-affc-04f104eee7f5 · outbound

This paper cites Physics-informed geometric deep learning for inference tasks in power systems,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Physics-informed geometric deep learning for inference tasks in power systems,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.587460Z

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Observation 1431c7db-0320-467e-a66d-b6f48d06ca25 · outbound

This paper cites Graph neural networks on factor graphs for robust, fast, and scalable linear state estimation with PMUs,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Graph neural networks on factor graphs for robust, fast, and scalable linear state estimation with PMUs,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.576630Z

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Observation cede5e6b-8a48-4f80-a677-48b38fb5ceda · outbound

This paper cites Time-synchronized state estimation using graph neural networks in presence of topology changes,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Time-synchronized state estimation using graph neural networks in presence of topology changes,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.565597Z

Source-reported events for the cited work

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Observation 38b5b39a-3e3f-4c1e-8aa1-b982c4f091ea · outbound

This paper cites Learning on attribute-missing graphs,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Learning on attribute-missing graphs,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.555489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2ec99162-28b4-4c10-904c-4f0d4d73af9c · outbound

This paper cites On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.545328Z

Source-reported events for the cited work

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Observation 7fd22366-c52b-4dec-9993-713f1fd8980b · outbound

This paper cites Local augmentation for graph neural networks,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Local augmentation for graph neural networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.535091Z

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Observation 4bad9733-16dd-485b-8a7b-0f9cca01cc73 · outbound

This paper cites Graph convolutional networks for graphs containing missing features,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Graph convolutional networks for graphs containing missing features,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:19.289669Z

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Observation 181d9017-fbb5-4079-bd9c-4c7412969f46 · outbound

This paper cites Graph attention networks,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Graph attention networks,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:19.292694Z

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Observation 5eeb6753-4aaa-4098-8d97-96f2a898791a · outbound

This paper cites A topology adaptive high-speed transient stability assessment scheme based on multi-graph attention network with residual structure,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems A topology adaptive high-speed transient stability assessment scheme based on multi-graph attention network with residual structure,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.512306Z

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Observation 9ceee702-ca99-4099-852c-efcb5e4e9d91 · outbound

This paper cites Processing of missing data by neural networks,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Processing of missing data by neural networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.501901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b1aa94a2-0a22-4b57-912e-666f709edcdd · outbound

This paper cites Stability properties of graph neural networks,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Stability properties of graph neural networks,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:19.301901Z

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Observation c4e570d8-f3c7-42c7-9dda-f7f15969d379 · outbound

This paper cites Bayesian state estimation for unobservable distribution systems via deep learning,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Bayesian state estimation for unobservable distribution systems via deep learning,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:19.306099Z

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Observation 320ff19e-c52d-40c6-a8d1-e681bb17d278 · outbound

This paper cites Multichannel signal detection based on Wald test in subspace interference and Gaussian noise,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Multichannel signal detection based on Wald test in subspace interference and Gaussian noise,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.478779Z

Source-reported events for the cited work

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Observation bf23b0f7-0b49-4307-be73-26fae1eccaa9 · outbound

This paper cites Complex-variable weighted least modulus state estimation,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Complex-variable weighted least modulus state estimation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.468091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 60bcb91e-028b-4598-87e8-c98dc3108583 · outbound

This paper cites IEEE/IEC international standard - measuring relays and protection equipment - part 118-1: Synchrophasor for power systems - measure- ments,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems IEEE/IEC international standard - measuring relays and protection equipment - part 118-1: Synchrophasor for power systems - measure- ments,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.458238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eef43e6f-639b-4b6b-b829-724076c912e1 · outbound

This paper cites General optimal substation coverage algorithm for phasor measurement unit placement in practical systems,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems General optimal substation coverage algorithm for phasor measurement unit placement in practical systems,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.446943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d0bf4795-bb6a-45c3-b874-924414af298d · outbound

This paper cites A robust hybrid power system state estimator with unknown measurement noise,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems A robust hybrid power system state estimator with unknown measurement noise,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.436572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9aaa82ae-00e3-4fe3-ae23-165c324274b7 · outbound

This paper cites A PMU placement scheme ensuring real-time monitoring of critical buses of the network,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems A PMU placement scheme ensuring real-time monitoring of critical buses of the network,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.425280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a5bf1986-6cbe-4f4b-98d3-81c5090f29aa · outbound

This paper cites Sparse graph attention networks,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Sparse graph attention networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.415043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 935e2a9b-01e9-406f-8977-67d95478fb9c · outbound

This paper cites Multi-hop Attention Graph Neural Network.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Multi-hop Attention Graph Neural Network

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:19.332756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7477986b-9756-4715-a908-4ce4eca8345e · outbound

This paper cites Subgraph- based attention network for multi-hop question answering,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Subgraph- based attention network for multi-hop question answering,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.404354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 05073c70-2642-406f-9e4e-0178ec0e5422 · outbound

This paper cites Analytical verification of performance of deep neural network based time-synchronized distri- bution system state estimation,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems Analytical verification of performance of deep neural network based time-synchronized distri- bution system state estimation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.393749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8da83abb-faab-47fa-965e-7a7fe1bc721f · outbound

This paper cites An adaptive localization method for real-time security analysis,.

Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems An adaptive localization method for real-time security analysis,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:19.382959Z

Source-reported events for the cited work

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