Residential customer outage cost valuation for urban areas in Nepal
Bibliographic record
Abstract
Utilities in most of the developing countries do not possess relevant information to evaluate the electricity supply outage cost incurred by the customers. This paper shows the significance of customer survey techniques to evaluate customer outage cost in developing countries in the era of restructuring and globalization. Residential customer surveys that are extensively used by utilities in the developed countries can not be directly adopted in developing countries. Relevant modifications that incorporate customer behaviour in the rapidly changing socio-economic characteristics in those nations must be adequately addressed. The results obtained using customer survey techniques are consistent with the figures anticipated and also indicate toward the need to carry out such surveys for other customer categories as well. The survey questionnaire is designed to obtain customer information to have uninterrupted power supply based on their willingness to pay (WTP), alternative actions and willingness to accept (WTA) monetary compensation for agreeing frequent supply interruptions. The outage cost evaluation is carried out using least square error method by a computer program developed in MATLAB platform.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.002 | 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".