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Record W2101284911 · doi:10.1109/ccece.2000.849568

Power system reliability in a deregulated environment

2002· article· en· W2101284911 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Reliability and Maintenance
Canadian institutionsMcGill University
Fundersnot available
KeywordsComputer scienceDatabase transactionReliability (semiconductor)Probabilistic logicReliability engineeringTransmission (telecommunications)Computer securityComputer security modelSet (abstract data type)Security analysisElectric power systemDistributed computingPower (physics)EngineeringTelecommunicationsDatabase

Abstract

fetched live from OpenAlex

At the present time, the deterministic approach to transmission reliability has not been able to incorporate the effect of simultaneous power transactions on system adequacy or the effect of system security on the feasibility of power transactions. In this paper, a probabilistic approach to analyze the security of power transactions under random trading has been developed based on a region-wise approach to security analysis. In particular, the feasibility and security regions in the transaction space are derived from a transaction matrix model. By classifying each feasible transaction matrix as either secure or insecure based on prescribed system security criteria, a set of transaction-based security indices are defined. The concepts developed in this paper indicate that while the security of the transmission system is a given, the adequacy is compromised when a large number of bilateral contracts are involved.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score0.856

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)0.0010.001

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 head0.005
GPT teacher head0.145
Teacher spread0.140 · 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

Quick stats

Citations13
Published2002
Admission routes1
Has abstractyes

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