Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150199
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dc.contributor.authorLi, Jieen_US
dc.contributor.authorWen, Yonggangen_US
dc.contributor.authorZhang, Weien_US
dc.date.accessioned2021-05-19T07:19:31Z-
dc.date.available2021-05-19T07:19:31Z-
dc.date.issued2020-
dc.identifier.citationLi, 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/10.1145/3408308.3431121en_US
dc.identifier.isbn9781450380614-
dc.identifier.urihttps://hdl.handle.net/10356/150199-
dc.description.abstractOccupant 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.en_US
dc.language.isoenen_US
dc.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.en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleAn urban tropical thermal comfort dataset for smart buildingsen_US
dc.typeConference Paperen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.contributor.conference7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys, 2020)en_US
dc.identifier.doi10.1145/3408308.3431121-
dc.description.versionAccepted versionen_US
dc.identifier.scopus2-s2.0-85097154057-
dc.identifier.spage318en_US
dc.identifier.epage319en_US
dc.subject.keywordsHardware - Sensor Applications and Deploymentsen_US
dc.subject.keywordsComputer Systems Organization - Sensor Networksen_US
dc.citation.conferencelocationJapanen_US
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