El modelo HRV para expansión óptima de redes de transmisión: una aplicación a la red eléctrica de Ontario [The HRV Model for the Optimal Expansion of Transmission Networks: an Application to the Ontario Electricity Grid]
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents an application of a mechanism that provides incentives to promote transmission network expansion in the electricity system of the Ontario province. Such a mechanism combines a merchant approach with a regulatory approach. It is based on the rebalancing of a two-part tariff within the framework of a wholesale electricity market with nodal pricing. The expansion of the network is carried out through auctions of financial transmission rights for congested links. The mechanism is tested for a simplified transmission grid with ten interconnected zones, ten nodes, eleven lines and seventy eight generators in the Ontario province. The simulation is carried out for both peak and non-peak scenarios. Considering Laspeyres weights, the results show that that prices converge to the marginal cost of generation, the congestion rent decreases, and the total social welfare increases.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it