Big data from the built environment
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Big data from the built environment. / Khan, Azam; Hornbæk, Kasper.
Proceedings of the 2nd international workshop on Research in the large. Association for Computing Machinery, 2011. p. 29-32.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Big data from the built environment
AU - Khan, Azam
AU - Hornbæk, Kasper
N1 - Conference code: 2
PY - 2011
Y1 - 2011
N2 - As sensor networks in buildings continue to grow in number and heterogeneity, occupants can become empowered to better control their environment for comfort maximization and energy minimization. Since buildings are the primary consumers of energy and are the dominant cause of greenhouse gases, apps that help occupants to understand and control their interactions with a building could be extremely beneficial to society. However, the massive raw data sets that could be collected must be aggregated and visualized to be usable which presents significant data handling, information visualization, and interaction challenges. In the context of Project Dasher, a prototype building site for exploring these issues, we discuss lessons learned and challenges ahead to develop ubiquitous computing support for sustainability.
AB - As sensor networks in buildings continue to grow in number and heterogeneity, occupants can become empowered to better control their environment for comfort maximization and energy minimization. Since buildings are the primary consumers of energy and are the dominant cause of greenhouse gases, apps that help occupants to understand and control their interactions with a building could be extremely beneficial to society. However, the massive raw data sets that could be collected must be aggregated and visualized to be usable which presents significant data handling, information visualization, and interaction challenges. In the context of Project Dasher, a prototype building site for exploring these issues, we discuss lessons learned and challenges ahead to develop ubiquitous computing support for sustainability.
KW - app, augmented reality, building information model, data aggregation, massive data sets, sustainability
KW - app
KW - augmented reality
KW - building information model
KW - data aggregationmassive data sets
KW - sustainability
U2 - 10.1145/2025528.2025537
DO - 10.1145/2025528.2025537
M3 - Article in proceedings
SP - 29
EP - 32
BT - Proceedings of the 2nd international workshop on Research in the large
PB - Association for Computing Machinery
T2 - 2nd International Workshop on Research in the Large
Y2 - 18 September 2011 through 18 September 2011
ER -
ID: 37732806