Deregulated transmission system reliability planning criteria based on historical equipment performance data
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
In the past, electric utilities were continuously adding more facilities to their systems in order to satisfy the growing customer energy requirements. A utility industry traditionally has relied on a set of deterministic criteria to guide transmission planning. The traditional planning guidelines were based on planner's experience and intuition without a formal and consistent framework for their development. This paper identifies some of the limitations of traditional utility transmission system planning criteria and the possible implications for industrial and commercial customers. The primary objective of probabilistic planning criteria and techniques presented in this paper as opposed to the rules of thumb based planning criteria is to guide transmission system planners in balancing system cost and reliability performance. Contingency ranking has been used as a method of rationalizing system reliability enhancement projects with value-based concepts. This paper presents Alberta Power Limited's (APL) criteria review and development of system reliability planning criteria based on contingency ranking and 12 years of historical equipment performance data.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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