Inclusion of Wind Generation Modeling into the Conventional Generation Adequacy Evaluation
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 energy has become a significant portion of power generation resources, consequently its variability and uncertainty introduces various challenges for both the operation and planning of power systems. One of the great challenges of integrating wind energy in power systems can be seen from the reliability assessment perspective. Indeed, there is an ongoing recognized need to study the contribution of wind generation to overall system reliability and to ensure the adequacy of generation capacity. With respect to the evaluation of the reliability of power systems incorporating wind energy, a variety of criteria and techniques have been developed over the years. This paper is dedicated to reviewing the literature pertaining to generating system adequacy assessment in general and with regard to wind energy in particular. This paper firstly reviews the concepts and related aspects of generating system adequacy assessment, it also includes detailed description of the involved elements and the available widely commonly-used techniques. Then, it discusses the main issues arising when implementing wind generation into the adequacy assessment of generating systems. Moreover, the paper surveys the previously reported works that have proposed to involve wind generation into adequacy assessment.
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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 | 0.002 | 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