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Record W7023540580

The Ontario Electricity Market - Global Adjustment Model, Over-contracted Supply Estimation, and Price Decomposition

2012· other· en· W7023540580 on OpenAlexaboutno aff

Bibliographic record

VenueuO Research (University of Ottawa) · 2012
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsElectricity marketElectricityElectricity retailingMains electricityElectricity priceRenewable energyElectricity generationMarket price
DOInot available

Abstract

fetched live from OpenAlex

The Ontario government has implemented guaranteed price contracts with renewable and nuclear electricity producers. When generation of the contracted supply is greater than Ontario's demand (less imports), the excess electricity must be exported and/or some contracted generators must be temporarily shut down (some still receive payment). This paper estimates over-contracted generation loss from 2006 to March 2012 and finds the yearly loss for 2011 was approximately $17.7 million dollars added with the forced shut down cost of $20.1 million. The export industry reduced the potential loss by $5.6 million by paying the lndependent Electricity System Operator wholesale market price (lower than the contracted rate) for the excess contracted generation. The argument for keeping a discrepancy between export price (wholesale) and Ontario's consumer price (wholesale + global adjustment) is based on this value. The Ontario lndependent Electricity System Operator market wholesale price dropped significantly with the decrease in the price of gas in 2009 (discovery of shale gas). However, from 2008 to 2011, the overall Ontario consumer price has increased, by $17.19/MWH to $20.00/MWH. At least $10.19/MWH of this increase is due to Ontario Power Authority renewable energy contracts and OPA programs.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.021
GPT teacher head0.297
Teacher spread0.276 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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
Published2012
Admission routes1
Has abstractyes

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