Multi-Residential Buildings in Alberta’s Microgeneration Regulations
Bibliographic record
Abstract
This research project investigates the complexities of deploying microgeneration technologies in Alberta's Multi-Unit Residential Buildings (MURBs). The residential sector accounts for up to 75% of global building energy use and 28% of global electricity consumption. The research objectives include the analysis of the challenges in deploying solar photovoltaic technology, estimation of potential clean energy capacity, GHG emissions offset, and financial incentives that could benefit apartment owners in MURBs within the scope of the broader policy framework. The qualitative and quantitative analysis shows that stakeholders generally possess a positive attitude toward microgeneration technologies, and considerable potential exists for solar energy generation and GHG reductions. Leveraging sustainable design principles, MURBs have the potential to utilize their extensive infrastructure to actively participate in the electricity value chain and expedite Alberta's grid decarbonization efforts in line with its 2030 target.
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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) | 0.004 | 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; both teacher heads agree on what is shown here.
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".