A method for estimating power customer interruption cost function
Why this work is in the frame
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Bibliographic record
Abstract
Power customer interruption cost functions(PCICF) are important for power system planning,operation,and security pricing under deregulation.But needed to distinguish the nature of Power customer Large and needed to work out amounts of statistical data of PCICFs.So it is a difficulty for the research of power market.A PCICF estimating method is presented,which refers to PCICFs of other areas and the average revenue from each kWh power consumption of power users in the studied area,and the need for large amounts of data is avoided and analyze PCICF of power customers of each nature is simply and quickly.A group of Canadian PCICFs is used to estimate Tianjin's PCICFs.The example shows that the presented method is practical.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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