The proliferation of urban sensing, IoT, and big data in buildings, cities, and urban areas provides unprecedented opportunities for a deeper understanding of occupant behavior, transportation,
and energy and water usage patterns. However, utilizing the existing data sources and modeling methods in building science to model urban scale occupant behaviors can be pretty challenging. Therefore, technological progress is
needed to unlock its full potential. In order to fulfill the latter task, this workshop focuses on the methodologies for big urban and building data collection, analytics, modeling, and real-world technology deployment. Additionally, a
spotlight will be put on the ongoing project IEA EBC Annex 79 Subtask 2: Data-driven occupant modeling strategies and digital tools.
The workshop aims
to open up discussions on 1) challenges of the current modeling approaches in building science, 2) big data modeling paradigms that could be applicable in building science, urban infrastructure data modeling, 3) requirements on the data
collection infrastructure required for increasing the volume of data collection, and 4) future research directions using urban big data. An important part of the workshop will be dedicated to accelerating the open-world deployment of
developed technologies. For instance, how can the guidelines, model benchmarking, and standardization unlock the potential of the big data, buildings, urban scale occupant behavior modeling and energy consumption data.
BALANCES'21
will be held in conjunction with ACM BuildSys'21
The workshop will accept the submissions of original work or work in progress. Submitted papers must be unpublished and must not be currently under review for any other publication. Submissions
must be full papers, at most 4 single-spaced US Letter (8.5” x 11”) pages, including figures, tables, references and appendices. Submissions for All submissions must use the LaTeX (preferred) or Word styles found here. All submissions must be submitted using the submission website. Authors must make a good faith effort
to anonymize their submissions by: (1) using the "anonymous" option for the class and (2) using "anonsuppress" section where appropriate. Papers that do not meet the size, formatting, and anonymization requirements will not be
reviewed. Please note that ACM uses 9-pt fonts in all conference proceedings, and the style (both LaTeX and Word) implicitly define the font size to be 9-pt.
The tentative presentation formats are
regular oral presentation (15 minutes) and a spotlight presentation (2 minutes).
Register through ACM BuildSys 2021
Syracuse University
USA
The Cyprus Institute
Cyprus
Karlsruhe Institute of Technology
Germany
