Operating Risk Analysis of Wind-integrated Power Systems
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
Abstract Growing environmental concerns associated with electric power generation, and the awareness toward the use of renewable energy has caused widespread and rapid increase in the installation of wind-power systems. The uncertain and intermittent nature of wind power has led to growing problems in integrating wind power in power systems as the wind-power penetration continues to increase. One of the prime requirements of operating a power system with wind power is maintaining the system reliability by committing an appropriate amount of power from available generation sources in the lead time considered. Commitment of wind power is a very crucial task that requires accurate wind-power forecasting. This article presents a time series model to recognize the variability in wind and presents a conditional probabilistic method to quantify the wind-power commitment risk during system operation. The method is applied to assess the short-term operational risks with wind power and the operating capacity credits of a wind farm using the Roy Billinton Test System test system.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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