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Record W2143336951 · doi:10.1504/ijrs.2008.020774

Adequacy assessment of composite power generation and transmission systems with wind energy

2008· article· en· W2143336951 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

VenueInternational Journal of Reliability and Safety · 2008
Typearticle
Languageen
FieldEngineering
TopicPower System Reliability and Maintenance
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsComposite numberWind powerEnergy (signal processing)Transmission (telecommunications)Electricity generationPower (physics)Materials scienceEnvironmental scienceComposite materialElectrical engineeringEngineeringPhysicsMathematicsStatisticsThermodynamics

Abstract

fetched live from OpenAlex

Renewable energy resources are receiving considerable attention in the continued growth and development of bulk electric power systems. The most promising electrical energy generating source at the present time is wind power, and governments around the world are making commitments to add considerable wind power to the existing power grids. The performance of a wind energy conversion system is quite different from that of a conventional generating system, owing to the dispersed nature of the wind energy at a specific site location. This paper presents a procedure to create an analytical model of a multi-unit wind farm that can be used in conventional generating capacity or composite generation and transmission system reliability evaluation using analytical techniques or state-sampling simulation analysis. The developed models are illustrated by application to two composite test 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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.323

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)0.0000.000

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 head0.007
GPT teacher head0.218
Teacher spread0.211 · 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