Expansión de las Redes de Transmisión Eléctrica en Norteamérica: Teoría y Aplicaciones
Bibliographic record
Abstract
We present a hybrid mechanism application for the electrical system network expansion in Mexico, United States and Canada. The application is based on redefining the transmission output in terms of "point-to-point" transactions or financial transmission rights (FTRs); rebalancing the fixed and variable parts of a two-part tariff; as well as in the use of nodal pricing. The expansion of the transmission is carried out through the sale of FTRs for the congested electrical lines. The mechanism was tested in the national electric system of Mexico (SEN) with 24 nodes and 35 power line, in the Pennsylvania-New Jersey-Maryland (PJM) grid with 17 nodes and 31 lines, and finally in the Ontario network with 10 nodes and 10 lines. The results thereof indicate that prices converge to the marginal generation cost, congestion decreases and the social benefit increases in the three systems, regardless of the organization of the electrical system, the network topology or the type of installed generation capacity
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".