Bibliographic record
Abstract
This paper presents the design of a hybrid power system for a house in Tripoli-Libya using homer software and BEopt. According to general electrical company in Libya, the house consumes 7845kWh/year, and total area of the house is (1962ft2). The house is simulated using BEopt software. Insulated roof and walls are selected to reduce cooling demand. The hybrid power system proposed consists of a wind turbine, PV panels, and battery storage used when there is no sun and wind energy. That region has an average annual wind speed is above 4 m/s and the radiation of sun is about 7.1 kilowatt hours per square meter per day (kWh/m2/day). The proposed PV/wind hybrid power system will be installed on the house. The results show that the optimum configuration meets the house requirements. The lowest levelized cost energy is obtained for a system consisting of 2.8kW PV modules, three 400W wind generator and storage batteries using 56, 200Ah units.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".