Solar photovoltaic optimization for commercial flat rooftops in cold regions
Bibliographic record
Abstract
Solar photovoltaic systems are becoming increasingly popular as industries try to decrease their carbon footprint. This paper presents a generic optimization framework and examines a case study where a flat rooftop located in Edmonton, Alberta is investigated for the installation of a photovoltaic array. The objectives of this study are to maximize power generation while minimizing the system cost. This case study represents a proposed generic framework that fulfills this optimization problem. Solar power generation per month is forecasted using historical generation data. Panels can be installed at different tilt angles and varying inter-row spacing in order to achieve the optimal design. Designing an effective layout is important when installing solar panels, as the increased shade coverage or the wide variation from the normal angle of the sun can result in a loss of energy generation. The capital cost and payback period for the investment are also important factors when determining whether or not a photovoltaic system layout (inter-row spacing, tilt angle, etc.) is considered optimal. Analytic hierarchy process is used to weigh the decision factors and determine the optimal layout.
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 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".