An intelligent front end for secondary power distribution system design
Bibliographic record
Abstract
The development and use of an expert-system (ES)-based intelligent front end (IFE) for radial-type electric power secondary distribution system (single-phase/three-phase, overhead/underground) design is described. The design is based on minimizing the total annual cost (TAC) of owning and operating the system, subject to specified voltage drop and dip criteria. A rule-based, goal-driven, backward chaining ES shell, VP-Expert, is used to create the IFE and interface it with relational database (dBASE) files on transformer data and transmission line data. The IFE has a very friendly user interface and makes use of a dialog method to communicate with the user. Menus are used to ask for user inputs. The IFE approach is illustrated by means of an example problem involving secondary distribution system design in an urban area. A sample dialog generated during a typical consultation session is presented. The advantages of using an expert system shell as an IFE to existing database files maintained by electric utility companies for secondary distribution system design are discussed.>
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".