Planning of Solar Power Plants at Surya Market Regional Companies
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
This Pasar Surya Surabaya Regional Company is an official market management under the Surabaya City government. In 2020, companies in the solar market area changed building assets into several open space places to become infrastructure facilities for economic improvement. The current power requirement is 197Kva and will be increased to 275 Kva. The planning of off-grid PV mini-grid for the Pasar Surya Regional Company, which was previously connected to PLN for 197 KVA, requires 1692 PV 380 WP for installation in an effective area of 3296.5 m2 and is divided into 3 PV arrays. with each array consisting of 19 series and 30 parallel PV arrays. Batteries with a capacity of 24V 300 Ah are needed as many as 342 pieces which are divided into 3 parts, with each part consisting of 19 series arrangement and 6 parallel battery arrangement. SCC (Solar Charge Controller) 240 KW requires as many as 3 pieces. Inverter 200 KW requires as much as 1 piece. In one year the energy that can be produced by PLTS is 950130 kWh, with a performance ratio showing the efficiency of PLTS at PD Pasar Surya which is 66.5%. The total cost of installing PLTS is around Rp. 16,204,258,086,- not including construction and installation costs. Meanwhile, to return the capital to be equivalent to the use of PLN, it takes an operating time of around 16 years
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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