MétaCan
Menu
Back to cohort
Record W2542023874 · doi:10.1109/tdc-la.2010.5762873

The impact of wind power variability and curtailment on ramping requirements

2010· article· en· W2542023874 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
TopicElectric Power System Optimization
Canadian institutionsMcGill University
Fundersnot available
KeywordsWind powerResidualReliability engineeringBase load power plantGridComputer scienceLoad managementElectric power systemPower gridService (business)Power demandAutomotive engineeringPeak demandDemand responsePower (physics)EngineeringElectricityElectrical engineeringPower consumptionBusiness

Abstract

fetched live from OpenAlex

In view of its variable nature, integrating large amounts of wind into a power grid generally aggravates the residual demand ramping requirements and stresses the generation ramping capabilities. Load following is the major area of impact when it comes to daily operation. The required load following service is addressed in two stages; day-ahead and intraday markets. This paper focuses on the day-ahead market that employs wind curtailment as a tool to control the ramping requirement of the residual demand, thereby, reducing the reliance on the expensive but flexible peaking units for load following purposes. The theoretical concept is provided and backed by simulation results and subsequent analysis.

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 score0.371
Threshold uncertainty score0.191

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 head0.006
GPT teacher head0.246
Teacher spread0.239 · 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

Citations12
Published2010
Admission routes1
Has abstractyes

Explore more

Same topicElectric Power System OptimizationFrench-language works237,207