Residential customer outage cost valuation for urban areas in Nepal
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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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