Intra-hour wind power characteristics for flexible operations
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 this paper we analyze variability over time in wind energy, focusing primarily on intra-hour variations. We model the time duration dependency and other conditional aspects of wind variability. We analyze variability both in the time and frequency domains and relate this analysis with empirical variability probability distributions using historical wind power from the Bonneville Power Authority. Distribution fitting of in-tra-hour variability was done, considering normal, Laplace and skew-Laplace distributions. We found that of the variability is skewed and peaky indicating that skew-Laplace distributions are superior to other probability density functions to describe wind variability in time intervals of less than an hour. The time domain interpretation of the power spectral density estimates of the wind power variability indicate that for time duration of 30 minutes to 1 hour wind fluctuation can be quite considerable. We discuss the results of our analysis in relation to its potential short-term power system operations implications with high wind power penetration.
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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