RESIDENTIAL CUSTOMERS' OUTAGE COST ANALYSIS FOR URBAN AND SEMI-URBAN AREAS IN A DEVELOPING COUNTRY
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Bibliographic record
Abstract
This paper discusses cost of unreliability of electricity supply to the residential customers. Electricity supply outage cost is evaluated by customers' survey technique for urban and semi-urban residential areas of a developing country. The energy consumption pattern of urban and sub-urban areas is determined. Electricity supply outage cost is evaluated using both preparatory action approach and contingent valuation method. A detailed breakdown of customer's average outages costs for a entire day based on 8 three-hourly time durations are obtained that give easily understandable figures to the utilities. The power consumption pattern obtained are in close agreement with the utility's load curve. A MATLAB based computer program using Least Square Error Approximation is used to evaluate the outage cost.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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