Determination of Optimal Cost Electrical Charge Storage System in off — Grid Solar Illumination Systems
Bibliographic record
Abstract
In this paper, a unit is developed for lighting homes and workplaces in many parts of the world where the electricity supply is not through grids. This unit consumes minimal energy and is available at an optimal cost. This minimal consumption system uses newly developed white light or Light Emitting Diodes (LEDs). These types of diodes have p- n junction and the voltage drop across the junction is around 3 Volts. So the batteries used in such illumination devices also have approximately 3 Volts. The utility of such devices (LED based) has increased in recent times because these are replacing kerosene lanterns in many countries around the world. The governments in such countries are reducing or eliminating the subsidies on kerosene, diesel etc (fossil fuels) due to a continued high price of crude oil. The challenge with the 3 Volt batteries is that their ratio of cost / total charge holding capacity is very high. They also pose problems with their disposal and repair. Moreover, many of these batteries are reported to explode while being charged. The present research work then replaces 3 Volt batteries with 12 Volt batteries which are commonly used and the ratio mentioned above - is low or minimal.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".