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Record W2139647510

Wide-Area Trans-Regional Northeast Reliability Assessment.

2002· article· en· W2139647510 on OpenAlexaboutno aff
P.A. Fedora, Kollin J. Patten

Bibliographic record

VenueHawaii International Conference on System Sciences · 2002
Typearticle
Languageen
FieldEngineering
TopicPower Systems and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsReliability (semiconductor)ContingencyGridComputer scienceTransmission (telecommunications)Contingency planOperations researchPoint (geometry)Reliability engineeringPower (physics)TelecommunicationsGeographyEngineeringComputer security
DOInot available

Abstract

fetched live from OpenAlex

This paper summarizes the results of a reliability assessment conducted by Northeast Power Coordinating Council’s (NPCC) Regional Planning Forum (RPF). The RPF’s goal is to explore innovative approaches to reliably enhancing the capabilities of the transmission grid from a Wide-Area, Trans-Regional outlook. Scenarios of Canadian to United States transfers, New England to the Mid-Atlantic Area Council (MAAC) transfers, and New England to New York transfers illustrate the constraining transmission elements in today’s interconnected system, providing a starting point for additional reliability assessments. PowerWorld’s linear contingency and voltage analysis programs were used to analyze the system response to the transfers resulting from the scenarios considered. An additional investigation of the factors involved in reliably increasing the size of NPCC’s largest single contingency (currently approximately 1,500 MW) was also performed. 1. Background

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.072
GPT teacher head0.272
Teacher spread0.200 · 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 designNot applicable
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

Citations1
Published2002
Admission routes1
Has abstractyes

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