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Record W4285314018 · doi:10.18280/psees.050102

Proposal a New Energy Certification with Multi-Criteria Analysis of Strategies Passives of Tertiary Building in Arid Region

2021· article· en· W4285314018 on OpenAlex
Ibtissame Benoudjafer, Imene Benoudjafer

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProgress in Solar Energy and Engineering Systems · 2021
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsCertificationSustainabilityEnergy (signal processing)Environmental economicsEnergy performanceComputer scienceEnergy analysisMathematicsStatisticsEconomics

Abstract

fetched live from OpenAlex

This study aims to develop a new energy certification rating system in hot and dry climates. To do this, sustainable strategies must be applied for tertiary buildings. The methodology consists to evaluate these passive strategies by covering three proportions of sustainability (energy, economic and comfort), with a dynamic simulation. In addition, to calculate energy performance and energy savings indicators, we are carrying out a survey to establish reasonable and fair criteria for case study. In this study, four stages were carried out data collection and analysis, evaluation of the energy performance indicators of the strategies. With a multi-criteria analysis, we can evaluate indices of the energy performance of a building, in order to set up a new energy certification, which can allow energy savings and maintain comfort.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.621
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.010
GPT teacher head0.218
Teacher spread0.208 · 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