VALIDATION OF LOADABILITY CURVES IN PLANNING CUSTOMER CONNECTIONS
Bibliographic record
Abstract
Continuously utilities have to assess the possibility of connecting new, radial loads to their networks. One important consideration here is selection of the voltage at which these supplies will be constructed. The amount of power transmitted over a transmission line is a direct function of system voltage, and the correct selection of voltage is critical to ensure that the number of lines to be commissioned is optimized. The number of lines and by extension the voltage selected at which to construct them, influences the number of servitudes required. The acquisition of servitudes is usually a legislated process that requires public participation, amongst other things. It is becoming a challenge because of challenges from public, lack of space to build lines in future, cost of acquisition, lead times to obtain authorization, etc. The line voltage also influences the infrastructure costs. It is therefore important to construct assets that will not only be the least to meet the requirements, but also that will be best utilized. This paper presents the results on the work done to demonstrate the effectiveness of loadability curves in deciding on the appropriate voltage for building lines to supply new loads.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".