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Record W2104582756

Technical requirements for high-penetration wind : What system operators need, and what wind technology can deliver

2009· article· en· W2104582756 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

Venue2009 CIGRE/IEEE PES Joint Symposium Integration of Wide-Scale Renewable Resources Into the Power Delivery System · 2009
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsKuraray (Canada)
Fundersnot available
KeywordsWind powerElectricityElectricity systemGridTurbineEngineeringComputer scienceSystems engineeringRisk analysis (engineering)Electricity generationElectrical engineeringMechanical engineeringBusinessPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

As wind penetration levels increase, the effects on the electricity system increase, and therefore the technical characteristics of the wind generation become more important. In addition, many modern wind turbines could in principle behave unlike conventional synchronous generators, raising new problems and perhaps providing new benefits to the system. Electricity system operators are responsible for the satisfactory operation of their electricity systems in normal and abnormal conditions. In order to achieve this, they define technical requirements which all parties connected to their system must follow. These technical requirements can take several forms but are commonly referred to as 'grid codes'. This paper approaches the issues by considering the fundamental technical requirements of system operators. This is compared with current and possible future technical capabilities of wind turbine technology.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.000
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 head0.201
Teacher spread0.194 · 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