Towards a Comprehensive Tool to Model Occupant Behaviour for Dwellings that Combines Domestic Hot Water Use with Active Occupancy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In building simulation, deterministic reference load profiles are normally used to represent domestic hot water (DHW) demand. Limited studies are found in the literature about the stochasticity of DHW consumption. As an attempt to fill this need, a stochastic end-user DHW demand model was constructed with temporal coherency with a well known occupancy generator. The tool uses aggregated data from national surveys to effectively scale occupant behaviour models built in different parts of the world to produce the output for a given configuration. This tuning procedure is necessary to account for variations of occupant behaviour between different countries. The model displayed great accuracy in predicting the building DHW demand when its outputs were compared with measurements made in a multiresidential building in Quebec City, Canada. At its current status, the tool can be used for US, Canadian and UK dwellings, but the idea could be expanded for other locations.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it