Cost Optimized Load Allocation for Dual Radial Customers
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
As load grows in areas of a distribution system, it can be difficult to find the capacity necessary to supply new customers. In order to accommodate new customers, large capital investments can be made, such as upgrading transformers and switchgear at transformer stations, or constructing entirely new transformer stations. However, these investments may be very costly and take many years to construct. It is proposed that existing infrastructure may be utilized more efficiently to make use of available capacity before opting for larger scale capital projects to add capacity to a system. It can be difficult to determine how to shift load within a distribution system in order to gain capacity in the areas required. This paper presents a method to optimally select a rearrangement strategy to accommodate new customer loads. Specifically, the optimization model aims to shift dual radial customers at the lowest cost and effort to make room for the emerging customers.
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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