Towards collaborative data analytics for smart buildings

Sanja Lazarova-Molnar, Nader Mohamed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


Smart buildings are buildings equipped with the latest technological and architectural solutions, controlled by Building Management Systems (BMS), operating in fulfillment of the typical goals of increasing occupants’ comfort and reducing buildings’ energy consumption. We witness a slow, but steadily increasing trend in the number of buildings that become smart. The increase in availability and the decrease in prices of sensors and meters, have made them almost standard elements in buildings; both in newly built and existing ones. Sensors and meters enable growing collections of data from buildings that is available for further analytics to support meeting BMS’ performance goals. For a single building to benefit from this data-based analytics, it will take a long time. Collaboration of BMS in their data analytics processes can significantly shorten this time period. This paper makes two contributions: one, a careful examination of the potential of buildings for collaborative data analytics; and two, description of models for collaborative data analytics.

Original languageEnglish
Title of host publicationInformation Science and Applications 2017 - ICISA 2017
EditorsKuinam Kim, Nikolai Joukov
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9789811041532
Publication statusPublished - 2017
Externally publishedYes
Event8th International Conference on Information Science and Applications, ICISA 2017 - Macau, China
Duration: Mar 20 2017Mar 23 2017

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Other8th International Conference on Information Science and Applications, ICISA 2017
City Macau

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering


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