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Record W2003372102 · doi:10.1109/ccece.2007.425

Impact of Wind Power Growth on Capacity Credit

2007· article· en· W2003372102 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 institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsWind powerElectric power systemReliability (semiconductor)Reliability engineeringEnvironmental economicsWind speedComputer scienceEnvironmental scienceEngineeringPower (physics)EconomicsMeteorologyElectrical engineeringGeography

Abstract

fetched live from OpenAlex

Global environmental concerns associated with conventional energy generation have led to rapid growth of wind energy applications in power systems. Many jurisdictions around the world have set very high wind penetration targets in their energy generation mix, and as a result, there is a growing concern for the reliability of the power systems containing these highly fluctuating power sources. Many studies have been done to assess the capacity credit of wind sources by comparing the reliability contribution of these sources with that of the conventional generating sources. Previous studies have shown that the capacity credit of wind sources is system dependent. The results from a specific study, therefore, cannot be used in general by wind system planners or policy makers. This study recognizes the growing application of wind sources, and analyzes the impact of key system variables on system reliability in order to provide a general approximation of wind capacity credit as a function of wind penetration.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score0.292

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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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

Citations6
Published2007
Admission routes1
Has abstractyes

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