Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150199
Title: An urban tropical thermal comfort dataset for smart buildings
Authors: Li, Jie
Wen, Yonggang
Zhang, Wei
Keywords: Engineering::Computer science and engineering
Issue Date: 2020
Source: Li, J., Wen, Y. & Zhang, W. (2020). An urban tropical thermal comfort dataset for smart buildings. 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys, 2020), 318-319. https://dx.doi.org/10.1145/3408308.3431121
Abstract: Occupant thermal comfort is a pillar of smart buildings. However, the research community lacks a sufficient 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.
URI: https://hdl.handle.net/10356/150199
ISBN: 9781450380614
DOI: 10.1145/3408308.3431121
Rights: © 2020 Association for Computing Machinery. All rights reserved. This paper was published in 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation and is made available with permission of Association for Computing Machinery.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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