Wind power planning and operating capacity credit assessment
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
Wind is an important energy source and is regarded as a valuable alternative to more traditional electric power generating sources. Generating capacity from wind power behaves quite differently than that from more conventional sources as the wind is variable, intermittent and both terrain and site specific. The capacity credit that can be assigned to a particular wind power site is therefore highly dependent on the wind regime at that site. This paper examines the concept of the capacity credit associated with one or more wind farms using the IEEE-Reliability Test System. The studies are focused on wind power capacity credit in the conventional power system planning sense and on the capacity credit associated with one or more wind farms in a system operating context. The basic probability indices of Loss of Load Expectation, Loss of Energy Expectation and Unit Commitment Risk are used to assess the Increase in Peak Load Carrying Capability attributable to an added wind facility and the assigned capacity credit. The analyses are extended to consider multiple wind sites with dependent and independent wind regimes.
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