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Record W2028195561 · doi:10.1109/eit.2005.1626966

A Monte Carlo Simulation Model for Reliability Evaluation of Transmission Systems

2006· article· en· W2028195561 on OpenAlexaboutno aff
A.A. Chowdhury

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Reliability and Maintenance
Canadian institutionsnot available
Fundersnot available
KeywordsMonte Carlo methodReliability (semiconductor)Reliability engineeringProbabilistic logicElectric power systemComputer scienceGridTransmission systemPower system simulationTransmission (telecommunications)Operations researchPower (physics)EngineeringTelecommunicationsStatisticsMathematicsArtificial intelligence

Abstract

fetched live from OpenAlex

The Alberta Interconnected System (AIS) forms a single integrated transmission network serving the province of Alberta. ATCO Electric Limited, formerly Alberta Power Limited (APL), who owns and operates a portion of this system, has traditionally relied on implicit criteria for evaluating system reliability performance and the need for system enhancements. Since 1990, however, increasing emphasize is being placed on value-based probabilistic assessments that attempt to quantify the risk of system disturbances, as well as the cost and the benefit of system enhancement projects. A case study is presented in this paper in which a new value-based Monte Carlo simulation approach is utilized to compute popular customer oriented reliability indices for a local area supplied by the main Alberta provincial grid

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.025
GPT teacher head0.260
Teacher spread0.235 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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