A Systematic Literature Review on Studying Energy Consumption Assessment in Heritage Buildings
Bibliographic record
Abstract
Energy Consumption of Heritage Buildings (ECHBs) on construction sites has become essential in both the industry and academia as construction projects grow increasingly complex. With a prime goal of increasing its effectiveness, ECHBs research has witnessed tremendous growth over the past three decades. This research paper recruited a mixed-review method of scientometric and systematic reviews of 111 research papers on ECHBs published from 1994 to 2020 (as of mid of June). The scientometric review identified the most prolific journals, keyword correlations and geospatial connections between research countries in the ECHBs field. On the other hand, the systematic review analysis showed that there are five main research topics in ECHBs. These topics encompass energy efficiency, biodeterioration, environmental conditions in heritage sites, sustainability, and design for climatic conditions. Furthermore, the major approaches applied in ECHBs research were investigated. Potential research methodologies to address these research areas are also discussed.
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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 | 0.013 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.034 | 0.028 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".