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Record W2054699739 · doi:10.1109/tste.2012.2200304

Hydro-Québec Strategy to Evaluate Electrical Transients Following Wind Power Plant Integration in the Gaspésie Transmission System

2012· article· en· W2054699739 on OpenAlexaffabout
Richard Gagnon, Martin Fecteau, Pascal Prud'Homme, Eric Lemieux, Gilbert Turmel, Daniel Paré, François Duong

Bibliographic record

VenueIEEE Transactions on Sustainable Energy · 2012
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsWind powerTransient (computer programming)Electric power systemElectric power transmissionEngineeringTransmission systemTransmission (telecommunications)Electrical engineeringEnvironmental scienceComputer sciencePower (physics)Systems engineeringAutomotive engineeringPhysics

Abstract

fetched live from OpenAlex

This paper presents the strategy used by Hydro-Québec TransÉnergie to carry out an exhaustive electromagnetic transient study of the utility's transmission system in the Gaspé Peninsula where 1750 MW from wind generation will be integrated by 2015. This strategy consists of using the simulation tools and wind power plant models developed by the Institut de recherche d'Hydro-Québec in the last few years to model the system and re-engineer special protection systems.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.347

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.224
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations27
Published2012
Admission routes2
Has abstractyes

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