Topological observability analysis using heuristic rule based expert system
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a novel approach for topological observability analysis using heuristic rule based expert system. The observability problem is split in P-delta observability and Q-V observability by P-delta/Q-V decouple characteristic of power systems. A heuristic rule based expert system is developed for finding the existence of an observable spanning tree for P-delta measurement graph and Q-V measurement graph. This expert system finds the existence of an observable spanning tree in measurement graph on the basis of heuristic rules, directly without making a spanning tree. Inference in this approach is done by the process of chaining through rules until a conclusion about the observability or unobservability is reached. The proposed heuristic rule based expert system has been tested on the standard IEEE 5 bus and 14 bus test systems and an 87 bus real power system, which is a part of Northern grid network of India. Results obtained are presented for illustration
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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