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Room-level occupant counts, airflow and CO2 data from an office building

Published:04 November 2018Publication History

ABSTRACT

The area of occupant sensing is lacking public datasets to baseline and foster data-driven research. This abstract describes a dataset covering room-level occupant counts, in-room ventilation airflow and CO2 data from an office building. This dataset can among others be used for developing and evaluating data-driven algorithms for occupant sensing and building analytics.

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  1. Room-level occupant counts, airflow and CO2 data from an office building

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    • Published in

      cover image ACM Conferences
      DATA '18: Proceedings of the First Workshop on Data Acquisition To Analysis
      November 2018
      36 pages
      ISBN:9781450360494
      DOI:10.1145/3277868

      Copyright © 2018 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 4 November 2018

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      Overall Acceptance Rate74of167submissions,44%

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