Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43506
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Title: Temporal knowledge discovery in big BAS data for building energy management
Authors: Fan, C 
Xiao, F 
Madsen, H
Wang, D 
Issue Date: 15-Dec-2015
Source: Energy and buildings, 15 Dec. 2015, v. 109, p. 75-89
Abstract: With the advances of information technologies, today's building automation systems (BASs) are capable of managing building operational performance in an efficient and convenient way. Meanwhile, the amount of real-time monitoring and control data in BASs grows continually in the building lifecycle, which stimulates an intense demand for powerful big data analysis tools in BASs. Existing big data analytics adopted in the building automation industry focus on mining cross-sectional relationships, whereas the temporal relationships, i.e., the relationships over time, are usually overlooked. However, building operations are typically dynamic and BAS data are essentially multivariate time series data. This paper presents a time series data mining methodology for temporal knowledge discovery in big BAS data. A number of time series data mining techniques are explored and carefully assembled, including the Symbolic Aggregate approXimation (SAX), motif discovery, and temporal association rule mining. This study also develops two methods for the efficient post-processing of knowledge discovered. The methodology has been applied to analyze the BAS data retrieved from a real building. The temporal knowledge discovered is valuable to identify dynamics, patterns and anomalies in building operations, derive temporal association rules within and between subsystems, assess building system performance and spot opportunities in energy conservation.
Keywords: Big data
Building automation system
Building energy management
Temporal knowledge discovery
Time series data mining
Publisher: Elsevier
Journal: Energy and buildings 
ISSN: 0378-7788
EISSN: 1872-6178
DOI: 10.1016/j.enbuild.2015.09.060
Rights: © 2015 Elsevier B.V. All rights reserved.
© 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
The following publication Fan, C., Xiao, F., Madsen, H., & Wang, D. (2015). Temporal knowledge discovery in big BAS data for building energy management. Energy and Buildings, 109, 75-89 is available at https://doi.org/10.1016/j.enbuild.2015.09.060
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