Desarrollo de un sistema fotovoltaico residencial interconectado a la red eléctrica de comisión federal de electricidad (CFE), México
Bibliographic record
Abstract
In this research work, a study was carried out for the installation of a photovoltaic system, using the necessary tools and security measures. The necessary data was collected (load center, CFE meter review), electricity consumption and billing were analyzed. In addition to analyzing the data obtained from energy consumption in a certain period, using the PVWatts software to evaluate solar radiation and thus estimate the photovoltaic system that should be installed to achieve good energy savings. The technical proposal included 6 Canadian Solar solar panels of 550 Watts each, a 4 kW Huawei inverter and other components, with an annual generation of approximately 5,628.51 kWh. The necessary procedures were detailed with the Federal Electricity Commission (CFE), in which a budget of $106,227.00 pesos was presented, with a projected return on investment in 2.21 years. The strategy includes changing the DAC (High consumption) rate in 3 to 4 bimonthly periods. The study, the acquisition process, procedures, installation and testing were carried out with accuracy.Clarifying that the project not only seeks to save energy by using photovoltaic panels, but also to promote the sustainability of the community where said installation is made.
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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 | 0.001 | 0.002 |
| 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 | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".