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Record W2043506782 · doi:10.1109/pesmg.2013.6673069

Modelling considerations for the Hydro One real-time GMD management system

2013· article· en· W2043506782 on OpenAlexaffabout
Luis Martí, Afshin Rezaei‐Zare, Andrew Yan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsHydro One (Canada)
Fundersnot available
KeywordsGeomagnetically induced currentTransformerElectric power systemComputer scienceReliability engineeringEarth's magnetic fieldReal-time computingEngineeringElectrical engineeringGeomagnetic stormVoltageMagnetic fieldPower (physics)Physics

Abstract

fetched live from OpenAlex

Hydro One (Ontario, Canada) has implemented a Geomagnetic Disturbances (GMD) management system in its control centre that combines real-time tracking of GMD events as well as an assessment of Geomagnetically Induced Currents (GIC) on every circuit and transformer in the 230 kV and 500 kV networks from magnetic field measurements. Transformer reactive power loss and hot spot heating due to half-cycle saturation of every transformer with a grounded winding above 230 kV is also estimated. The computational demands in real time required modeling techniques not usually associated with GIC simulations in large networks. This paper describes the modeling approach, capabilities, and usage to make real-time operational decisions during a GMD event.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.928
Threshold uncertainty score0.821

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.202
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2013
Admission routes2
Has abstractyes

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