Discovering complex knowledge in massive building operational data using graph mining for building energy management

Cheng Fan, Mengjie Song, Fu Xiao*, Xue Xue

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

10 Citations (Scopus)

Abstract

Discovering useful knowledge from massive building operational data is considered as a promising way to improve building operational performance. Conventional data analytics can only handle data stored in a single two-dimensional data table, while lacking the ability to represent and analyze data in complex formats (e.g., multi-relational databases). Graphs are capable of integrating and representing various types of information, such as spatial information and affiliations. The knowledge discovery based on graph data can therefore be very helpful for revealing complex relationships in building operations. This study proposes a novel methodology for analyzing massive building operational data using graph-mining techniques. Two problems are specifically addressed, i.e., graph generation based on building operational data and knowledge discovery from graph data. The methodology has been applied to analyze the building operational data retrieved from a real building in Hong Kong. The research results show that the knowledge obtained is valuable to characterize complex building operation patterns and identify atypical operations.

Original languageEnglish
Pages (from-to)2481-2487
Number of pages7
JournalEnergy Procedia
Volume158
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event10th International Conference on Applied Energy, ICAE 2018 - Hong Kong, China
Duration: 22 Aug 201825 Aug 2018

Keywords

  • Building automation system
  • Building operational performance
  • Data mining
  • Graph mining
  • Knowledge discovery

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Fan, C., Song, M., Xiao, F., & Xue, X. (2019). Discovering complex knowledge in massive building operational data using graph mining for building energy management. Energy Procedia, 158, 2481-2487. https://doi.org/10.1016/j.egypro.2019.01.378