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Record W2133932915 · doi:10.1109/epec.2009.5420868

Effects of seasonality and locality on the operating capacity benefits of wind power

2009· article· en· W2133932915 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 powerWind speedTurbineEnvironmental scienceMarine engineeringWind profile power lawElectric power systemMeteorologyPower (physics)EngineeringElectrical engineeringGeography

Abstract

fetched live from OpenAlex

The output power from a wind turbine generator mainly depends on the instantaneous wind speed at the turbine blades and therefore the selection of the site is an important consideration. The actual wind speed profile is unique to the wind site due to the site topography and other physical factors. The operating capacity benefits associated with a wind farm are therefore site specific. This paper illustrates the effect of seasonal and topographical changes in wind profiles on the peak load carrying capability of a wind farm. The operating capacity benefits are assessed using a probabilistic technique and illustrated by application to a small but practical test system. A model for forecasting short term wind speed uncertainty distributions is illustrated and utilized to calculate the increase in peak load carrying capability attributable to wind power in the wind integrated system.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score0.224

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 head0.008
GPT teacher head0.185
Teacher spread0.177 · 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

Citations4
Published2009
Admission routes1
Has abstractyes

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