Estimation of Diffuse Solar Radiation from Clearness Index for Multan, Southern Punjab, Pakistan
Bibliographic record
Abstract
Empirical correlations have been developed for Multan for the estimation of Diffuse Solar Radiation (DSR) as a function of clearness index (KT). The diffuse solar radiation are also estimated by the relationship as given by Liu and Jorden, Page and Iqbal. All these correlation shows a peak value of diffuse solar radiation for the months of July & August (monsoon months). The diffuse to global (total) radiation ratio is 0.317. The presently developed correlation are fine agreement with the result obtained by earlier models. It is inferred from the result that solar energy has bright prospects as far as its application and utilization is concerned. Empirical correlations have been developed for Multan for the estimation of Diffuse Solar Radiation (DSR) as a function of clearness index (KT). The diffuse solar radiation are also estimated by the relationship as given by Liu and Jorden, Page and Iqbal. All these correlation shows a peak value of diffuse solar radiation for the months of July & August (monsoon months). The diffuse to global (total) radiation ratio is 0.317. The presently developed correlation are fine agreement with the result obtained by earlier models. It is inferred from the result that solar energy has bright prospects as far as its application and utilization is concerned.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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 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".