Novel configurations for photovoltaic farms to reduce partial shading losses
Why this work is in the frame
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Bibliographic record
Abstract
Partial shading is the condition of having different insolation levels at different parts of a photovoltaic structure. This structure can be a module, array or farm. The difference in insolation levels causes miss-match in the elements of the photovoltaic structure. This miss-match has undesirable effects such as reduction in generated power from the elements of the structure and hot spots inside the structure. The severity of these effects can be considerably reduced by reconnecting the structure in such a way that miss-match is reduced. This paper proposes novel configurations for modules inside farms, that result in considerable reduction in partial shading losses. Also this paper introduces a novel mathematical formulation for insolation level miss-match. This formula can be used for comparative evaluation of different photovoltaic configurations. The improvement over the existing photovoltaic configurations has been demonstrated by simulation results.
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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) | 0.002 | 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