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Record W6981328926

Efectos y análisis de contingencias ante tormentas solares intensas en la Red Eléctrica Nacional, utilizando resultados obtenidos por simuladores de GIC S y flujos de potencia para su implementación en sesiones de entrenamiento para operadores del Centro Nacional de Control de Energía

2020· dissertation· en· W6981328926 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicLegal case studies and regulations
Canadian institutionsnot available
Fundersnot available
KeywordsDisseminationSpace weatherGeomagnetically induced currentEarth's magnetic fieldGeomagnetic stormElectric power
DOInot available

Abstract

fetched live from OpenAlex

“The main objetive of the present thesis work is to disseminate and sensitize to the national electrical system operators, analysts and executive leaders about the impact of geomagnetically induced currents (GIC ́s) on the national electrical system (NES) through training sessions where they can be sensitized and act accordingly to the evolution of a severe solar event and at the same time been aware of the posible damage to equipment and its consequences in the medium and long term. In Mexico various works have emerged regarding this issue. Chapter 1 addresses the theoretical issues that support the approach. A brief review of the intense geomagnetic storms that have historically caused damage to other electrical power systems. Chapter 2 discusses the fundamentals of space weather and the instances that regulate the information obtained from the observatories. Chapter 3 establishes the relationship between space weather phenomena and electrical power systems. Chapter 4 mentions the actions that were carried out in the Hydro-Quebec electrical system after the 1989 storm. Chapter 5 describes how the session was defined to disseminate the impact of geomagnetic currents on the national electrical system. Comments are made re“garding the conclusions obtained, as well as recommendations for future works.”

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.291
Teacher spread0.271 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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Same venueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)Same topicLegal case studies and regulationsFrench-language works237,207