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Personalized environmental control systems (PECS): A systematic review of performance evaluation methods for thermal comfort, air quality and energy

2025· review· en· W4412569410 on OpenAlexaff
Douaa Al Assaad, Ilaria Pigliautile, Jun Shinoda, Rajan Rawal, Maíra André, Siddhi Vashi, Roberto Rugani, Giulia Torriani, Wilmer Pasut, Akshit Gupta, Meng Kong, Fatemeh Nabilou, Kai Rewitz, Joyce Kim, Francesco Babich, Mateus Bavaresco, Dolaana Khovalyg, Chandra Sekhar, Ongun Berk Kazanci, Touraj Ashrafian, Karol Bandurski, Katharina Boudier, Giorgia Chinazzo, Adrian Chong, Sarah Crosby, Matteo Favero, Ricardo Forgiarini Rupp, Matheus Soares Geraldi, Natalia Giraldo Vásquez, Verônica Martins Gnecco, Sabine Hoffmann, Wooyoung Jung, Chul Kim, Hyojin Kim, Jeongseo Lee, Tobias Kramer, Giulia Lamberti, Aleksandra Lipczyńska, Pablo Martinez-Alcaraz, Anna Laura Pisello, Andrew Sonta, Ruiji Sun, Fatih Topak, Marika Vellei, Zhibin Wu, Xinhao Chen, Shiyu Zhang, Lihui Wang, Fan Liu

Bibliographic record

VenueBuilding and Environment · 2025
Typereview
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsUniversity of Waterloo
FundersMiljøteknologisk Udviklings- og DemonstrationsprogramFonds Wetenschappelijk Onderzoek
KeywordsThermal comfortEnvironmental control systemAir quality indexControl (management)Quality (philosophy)Environmental qualityEnergy (signal processing)Architectural engineeringComputer scienceEnvironmental scienceEngineeringReliability engineeringAutomotive engineeringArtificial intelligence

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.351
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.316
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations16
Published2025
Admission routes1
Has abstractno

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