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Record W7100420514

Date Raised

2002· article· en· W7100420514 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Power System Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsVolatility (finance)ScheduleMarket clearingMarket priceEnergy marketMarket rate
DOInot available

Abstract

fetched live from OpenAlex

Within the real-time unconstrained (market) schedule sequence, the energy ramping capability of all dispatchable facilities is assumed to be 12 times higher than the actual ramping ability. This means that the market schedules for these facilities and the uniform market clearing price for Ontario are set using ramp capability equal to what can be achieved in 60 minutes, rather than 5 minutes. Background This feature was implemented via a change to an adjustable input parameter of the dispatch algorithm in April 2002, just prior to market launch. Market Rules appendix 7.5 section 4.13.1 was changed by an urgent market rule amendment to authorize this feature. The need for this was based on results during the last phase of market testing in April of 2002, where there was extreme real-time price volatility during periods of large change in market demand – e.g. morning load pick-up, hour-to-hour changes in intertie transactions. Also observed were significant differences between the pre-dispatch prices and real-time prices. This price volatility resulted from a lack of ramp depth of scheduled lower priced

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.328
Threshold uncertainty score0.468

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0050.003
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.6720.619

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 head0.145
Teacher spread0.137 · 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

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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