Data-driven model for predicting indoor air quality and thermal comfort levels in naturally ventilated educational buildings using easily accessible data for schools-Reference-Cited by-同舟云学术

Data-driven model for predicting indoor air quality and thermal comfort levels in naturally ventilated educational buildings using easily accessible data for schools

Published:2023-12 Issue: Volume:80 Page:108001
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Miao S.^ORCID,Gangolells M.,Tejedor B.^ORCID

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference49 articles.

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4. Indoor air quality and health in schools: a critical review for developing the roadmap for the future school environment;Sadrizadeh;J. Build. Eng.,2022

5. Room-level ventilation in schools and universities;Faye McNeill;Atmos. Environ. X,2022

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