Energy Performance Monitoring and Analysis of NetZero Energy Homes (NZEHs)
Bibliographic record
Abstract
Residential building operations consume a considerable amount of energy, especially in coldclimate regions. The National Energy Board of Canada (NEB) analyzed energy consumption in 2011, and found that energy use in the residential sector, including space heating/cooling, hot water heating, lighting, appliances, and other energy-using devices, accounts for 14% of the total energy consumption nationally. The concept of NetZero-energy homes (NZEHs) has emerged as a solution to reduce the energy demands of residential building operations. Following efforts to develop NZEHs, the actual energy performance of these homes needs to be examined, and sensor technology is capable of measuring this energy consumption in detail. In this research, sensor instrumentation is customized for NZEH projects developed by Landmark Group of Builders in Edmonton, Canada. Data is collected for the first month and following winter months, then the collected data is validated and cleaned and is analyzed in terms of energy consumption, energy generation, and energy balance. Based on the analysis, recommendations for the operation of NZEHs are proposed.
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 | 0.001 |
| 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".