Singapore Institute of Technology
Browse

File(s) not publicly available

An Urban Tropical Thermal Comfort Dataset for Smart Buildings

poster
posted on 2024-09-26, 03:03 authored by Jie Li, Yonggang Wen, Wei ZhangWei Zhang

Occupant thermal comfort is a pillar of smart buildings. However, the research community lacks a sucient updated dataset and often has to apply the obsolete ones with inaccurate comfort modeling performance. In this paper, we present our latest urban tropical dataset for thermal comfort research. We follow a non-intrusive approach by using the emerging wearables to collect the data about the occupant profile, vital signs, thermal sensation, and ambient environment. In total, we obtain a unique dataset with 8,972 data items in two years. Our dataset will be publicly available and owns the high potential to propel the smart building researches like thermal comfort modeling and energy management.

History

Journal/Conference/Book title

BuildSys '20: Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

Publication date

2020-11-18

Corresponding author

wei.zhang@singaporetech.edu.sg

Usage metrics

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC