Bibliographic record
Abstract
Conventional centralized HVAC systems cannot provide office workers with personalized thermal comfort because workers in a single zone share a common air handling unit and thus a single air temperature. Moreover, they heat or cool an entire zone even if a single worker is present, which can waste energy. Both drawbacks are addressed by Personal Environmental Control (PEC) systems that modify the thermal envelope around a worker's body to provide personalized comfort. However, most PEC systems are both expensive and difficult to deploy, making them unsuitable for large-scale deployment. In contrast, we present the design and implementation of the SPOT* PEC system that is carefully designed for rapid and scalable deployment. Intuitive web-based interfaces for user controls allow SPOT* to be installed in only about 15 minutes, including user training. It is also low-cost because it uses the fewest possible sensors and a lightweight compute engine that can optionally be located in the cloud. We present the detailed design of the SPOT* system and results from a cumulative 58,000 hours of operation in 15 offices. We find that in our deployment SPOT* reduced the average absolute discomfort experienced by a typical user by ~67% compared to the same HVAC system in the absence of SPOT*.
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".