The proliferation of
urban sensing, IoT, and big data in buildings, cities, and urban areas provides
unprecedented opportunities to better understand and optimize transportation, energy and
water networks, and how human behavior affects them (and is, in turn, affected by them).
However, historically due to poor-quality data, limitations in algorithms, and computational
bottlenecks, modeling urban-scale occupant behavior and its interactions with energy and
transportation demand has proven to be quite challenging. Therefore, progress in developing
data-driven techniques, which can work with enormous amounts of data that is increasingly
available today, is needed to unlock its full potential.
In order to realize this potential, BALANCES focuses on innovative data-driven methodologies
that can be applied to model and optimize buildings and cities. Additionally, it also places a
spotlight on two different IEA EBC Annexes: the IEA EBC Annex 81 on Data-Driven Smart Buildings,
and the IEA EBC
Annex 82 on Energy Flexible Buildings Towards Resilient Low Carbon Energy Systems.
In doing so, the workshop aims to open up discussions on:
1. Big data modeling paradigms that could be applicable in building and urban science,
2. Requirements on the data collection infrastructure needed for these modeling paradigms,
3. Challenges faced by current modeling approaches, and
4. Future research directions to fully utilize building and urban big data.
BALANCES'24 will be held in conjunction with
ACM
BuildSys 2024.
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 Submitted papers must be unpublished and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 2024
University of Central Florida
USA
Syracuse University
USA
National University of Singapore
Singapore
