ANÁLISIS PRELIMINAR DE LA VARIABILIDAD DE CORTO PLAZO DEL RECURSO SOLAR EN ARGENTINA UTILIZANDO LOS DATOS DE LA RED SAVER-NET
Bibliographic record
Abstract
Solar irradiance variability introduces limitations to photovoltaic (PV) solar energy production because it hinders energy dispatch. Therefore, their quantification is important for large-scale development of PV systems and their relative contribution to the electrical grid. Argentina has a significant potential for solar energy generation, with anextensive territory receiving an average annual irradia tion of 5 kWh/m2 /day. Furthermore, it is supported by public policies and regulations that promote the transition to renewable energy sources. This study quantified short -term variability (minute, 10-minute, and hourly) using the standard deviation of changes in the clear sky index (kc). Time series for 2019 and 2020 were analyzed at six stations from the Argentine solar radiation network Saver-Net. Average nominal variabilities of 0.09, 0.13, and 0.15 was found for 1 min, 10 min, and 1 h, respectively. These values suggest an intermediate variability in solar resources across the territory.
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How this classification was reachedexpand
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".