Potential Renewable Bioenergy Production from Canadian Agriculture
Bibliographic record
Abstract
A mobile telecommunication sector has experienced a rapid growth in Libya and Al-Madar Al-Jadid is one of largest companies providing services in this sector.Currently, PV systems are widely used for powering remote GSM communication stations in the country and number of Al-Madar Al-Jadid communication stations powered by such stand-alone PV systems was about 135 in 2009.A Simulink Matlab model was built to dynamically simulate the operation of the stand alone PV system powering one of Al Madar Al Jadid remote communication stations in desert conditions, taking into account variation of insolation and ambient temperature during a day.The results of mathematical modelling on t he producible and produced power, charging and discharging battery power and the state of charge of the battery bank are in a good agreement with real experimental data recorded on the station with the use of a data-logger.Results obtained clearly indicated that the existing system, including PV panels and the electrical storage, is excessively large for the current electrical demand on the station and therefore could be reduced in the size by a factor of two. Keywords: Stand alone PV systems,
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.
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 | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 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) | 0.019 | 0.002 |
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".