PERANCANGAN DAN SIMULASI PLTS ATAP 1 KWP MENGGUNAKAN HELIOSCOPE
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
Solar Power Plant (PLTS) as one of the renewable energy sources that is being focused on itsdevelopment. This article discusses the design and simulation of the performance of a 1 kWp rooftopsolar power plant using a Helisocope. The input data required by the Helioscope is PLTS technicalspecifications such as solar panel technology, inverter type, number and type of modules selectedand land area. The location data required by the PLTS system includes the coordinates, the type ofroof of the building, the environment around the PLTS and meteorological data. The 1 kWp PLTS roofsystem designed at the location that the author uses uses 7 pcs Canadian Solar 195 Wp panels, 1pcs 1 kW AEC inverter, installed on the roof of the building facing north, and connected to the PLNnetwork via a net meter. This 1 kWp rooftop PLTS is capable of producing an average daily averageof 5,48 kWh, 41,07 kWh weekly, 164,29 kWh monthly, and annual 1971,5 kWh. Energy productionvaries by an average of 8% per month with the minimum production in January of 135,1 kWh and thehighest in July of 184,5 kWh. The designed 1 kWp PLTS roof produces a performance ratio of 73,6%with the irradiation received in a year reaching 1859,2 kWh/m2. The initial investment required to builda 1 kwp PLTS roof is IDR. 20.000.000.
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 | 0.000 |
| 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) | 0.005 | 0.001 |
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