ELEMCOMP: an equilibrium model of combined electric generation and emissions competition using complementarity programming
Bibliographic record
Abstract
To address the emergence of electricity systems and environmental regulations that have been restructured based on market forces, we have created ELEMCOMP, a complementarity programming model of combined electricity generation and emissions competition. ELEMCOMP is a single-stage, deterministic, n-player, multi-product, multi-resource, emissions-based system model of oligopolistic competition in electricity generation and emissions permits markets. There are two formulations of ELEMCOMP, one in which there is an exogenously determined permit quantity and one in which permit quantity is determined by competition amongst two permit suppliers with quadratic cost functions. Imperfect competition is modelled with conjectural variations. Four primary measures of the interacting markets that we emphasise in the case studies are emissions reductions, prices, the profitability of retrofitting coal facilities to reduce emissions, and generation mix. The case studies are annual models of a regional system resembling markets in Ontario.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".