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ABOUT</a></li>
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href="index.html#Content-ImportantDate">IMPORTANT DATES</a></li>
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<section class="header6 cid-sBnw6FAg87 mbr-fullscreen" id="header6-3">
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<h1 class="mbr-section-title mbr-fonts-style mbr-white mb-3 display-2"><strong>The 3<sup>rd</sup>
ACM International Workshop on
</strong>
<div><strong>Big Data and Machine Learning for Smart Buildings and Cities</strong></div>
<div><strong><br></strong></div>
</h1>
<h2 class="mbr-section-subtitle mbr-fonts-style mbr-white mb-3 display-5">In conjunction
with <br>ACM BuildSys 2023, November 14, 2023
<div>Istanbul, Turkiye
</div>
<div><br><br><br><br><br><br></div>
</h2>
</div>
</div>
</div>
</section>
<section class="content5 cid-sBnycRFU73" id="Content-About">
<div class="container">
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<h4 class="mbr-section-subtitle mbr-fonts-style mb-4 display-2"><strong>Welcome to ACM BALANCES
2023</strong></h4>
<p class="mbr-text mbr-fonts-style display-7" style="text-align: justify;">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 <a href="https://annex81.iea-ebc.org"
class="text-primary" target="_blank">IEA EBC Annex 81</a> on Data-Driven Smart Buildings,
and the <a href="https://annex82.iea-ebc.org/" class="text-primary" target="_blank">IEA EBC
Annex 82</a> on Energy Flexible Buildings Towards Resilient Low Carbon Energy Systems.
<br><br>In doing so, the workshop aims to open up discussions on:<br>
1. Big data modeling paradigms that could be applicable in building and urban science,<br>
2. Requirements on the data collection infrastructure needed for these modeling paradigms,<br>
3. Challenges faced by current modeling approaches, and<br>
4. Future research directions to fully utilize building and urban big data.<br>
<br><br>BALANCES'23 will be held in conjunction with <a href="http://buildsys.acm.org/2023/"
class="text-primary" target="_blank"><strong>ACM BuildSys'23</strong></a><br><br>
</p>
</div>
</div>
</div>
</section>
<section class="timeline2 cid-sBnyHYCtcz" id="Content-ImportantDate">
<div class="container">
<div class="mbr-section-head">
<h3 class="mbr-section-title mbr-fonts-style align-center mb-0 display-2"><strong>Important Dates
</strong></h3>
<h4 class="mbr-section-subtitle mbr-fonts-style align-center mb-0 mt-2 display-5">(UTC-12:00)</h4>
</div>
<div class="timelines-container mt-4">
<div class="row timeline-element separline mb-5">
<div class="timeline-date-panel col-12 col-md-4">
<div class="time-line-date-content">
<h4 class="mbr-timeline-date mbr-fonts-style display-5">Nov. 14, 2023</h4>
</div>
</div>
<span class="iconBackground"></span>
<div class="col-12 col-md-8">
<div class="timeline-text-content">
<h4 class="mbr-timeline-title mb-4 mbr-fonts-style display-5">Workshop Day</h4>
</div>
</div>
</div>
<div class="row timeline-element separline mb-5">
<div class="timeline-date-panel col-12 col-md-4">
<div class="time-line-date-content">
<h4 class="mbr-timeline-date mbr-fonts-style display-5">Oct. 8, 2023</h4>
</div>
</div>
<span class="iconBackground"></span>
<div class="col-12 col-md-8">
<div class="timeline-text-content">
<h4 class="mbr-timeline-title mb-4 mbr-fonts-style display-5">Camera Ready Submission</h4>
</div>
</div>
</div>
<div class="row timeline-element separline mb-5">
<div class="timeline-date-panel col-12 col-md-4">
<div class="time-line-date-content">
<h4 class="mbr-timeline-date mbr-fonts-style display-5">Sept. 29, 2023</h4>
</div>
</div>
<span class="iconBackground"></span>
<div class="col-12 col-md-8">
<div class="timeline-text-content">
<h4 class="mbr-timeline-title mb-4 mbr-fonts-style display-5">Notification to Authors</h4>
</div>
</div>
</div>
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<div class="timeline-date-panel col-12 col-md-4">
<div class="time-line-date-content">
<h4 class="mbr-timeline-date mbr-fonts-style display-5">Sept. 27, 2023</h4>
</div>
</div>
<span class="iconBackground"></span>
<div class="col-12 col-md-8">
<div class="timeline-text-content">
<h4 class="mbr-timeline-title mb-4 mbr-fonts-style display-5">Reviewer Deadline</h4>
</div>
</div>
</div>
<div class="row timeline-element separline mb-5">
<div class="timeline-date-panel col-12 col-md-4">
<div class="time-line-date-content">
<h4 class="mbr-timeline-date mbr-fonts-style display-5">Sept. 18, 2023</h4>
</div>
</div>
<span class="iconBackground"></span>
<div class="col-12 col-md-8">
<div class="timeline-text-content">
<h4 class="mbr-timeline-title mb-4 mbr-fonts-style display-5">Paper Submission</h4>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="content13 cid-sBnA31AkGp" id="Content-CFP">
<div class="container">
<div class="row justify-content-center">
<div class="col-md-12 col-lg-12">
<h3 class="mbr-section-title mbr-fonts-style mb-4 display-2">
<strong>Call for Papers</strong><br>
</h3>
<h4 class="mbr-fonts-style mb-4 display-7">
The topics include, but are not limited to the following:</h4>
</div>
</div>
<div class="row justify-content-center">
<div class="col-md-12 col-lg-12">
<div class="row justify-content-center">
<div class="col-12 col-lg-6">
<ul class="list mbr-fonts-style display-7">
<li>Machine learning for modeling big data from buildings, cities, and various
urban-scale data
</li>
<li>Machine learning for intelligent building control
</li>
<li>AI-driven building automation
</li>
<li>IoT enabled smart buildings and cities
</li>
<li> Modeling of human mobility in cities
</li>
<li>Urban sensing
</li>
<li>Data-driven urban scale occupant behavior modeling
</li>
<li>Data-driven energy flexibility modelling on building and city-scale
</li>
</ul>
</div>
<div class="col-12 col-lg-6">
<ul class="list mbr-fonts-style display-7">
<li><span style="font-size: 1.2rem;">Fault-free data-driven building
operation </span><br></li>
<li>Scaling up models to big data and large scale deployment
</li>
<li>Fit-for-purpose data acquisition and modeling
</li>
<li>Model standardization and benchmarking
</li>
<li>Fault-free data-driven building operation
</li>
<li>City-scale model scalability
</li>
<li>Urban scale building energy modeling
</li>
<li>Outdoor thermal comfort
</li>
</ul>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="content5 cid-sBQdnIz307" id="content5-l">
<div class="container">
<div class="row justify-content-center">
<div class="col-md-12 col-lg-10">
<h4 class="mbr-section-subtitle mbr-fonts-style mb-4 display-5"><strong>Submission
Guidelines</strong></h4>
<p class="mbr-text mbr-fonts-style display-7" style="text-align: justify;">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
<a href="https://www.acm.org/publications/proceedings-template" class="text-primary"
target="_blank">here</a>. All submissions must be submitted using the <a
href="https://acmbalances23.hotcrp.com/" class="text-primary" target="_blank">submission
website</a>. 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. <strong>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.</strong> <br><br>The tentative presentation formats are regular oral presentation
(15 minutes) and a spotlight presentation (2 minutes). <br><br>Register through <a
href="https://buildsys.acm.org/2023/" class="text-primary" target="_blank"><strong>ACM
BuildSys 2023</strong></a><br>
</p>
</div>
</div>
</div>
</section>
<section class="timeline2 cid-sBnEonYIaV" id="Content-Program">
<div class="container">
<div class="mbr-section-head">
<h3 class="mbr-section-title mbr-fonts-style align-center mb-0 display-2"><strong>Program</strong></h3>
<h4 class="mbr-section-subtitle mbr-fonts-style align-center mb-0 mt-2 display-7"><br>Workshop
Schedule <strong>(November 14, 2023; All Times in TRT)</strong></h4>
</div>
<div class="timelines-container mt-4">
<div class="row timeline-element separline mb-5">
<div class="timeline-date-panel col-12 col-md-4">
<div class="time-line-date-content">
<h4 class="mbr-timeline-date mbr-fonts-style display-5">11:30pm-11:40pm</h4>
</div>
</div>
<span class="iconBackground"></span>
<div class="col-12 col-md-8">
<div class="timeline-text-content">
<h4 class="mbr-timeline-title mb-4 mbr-fonts-style display-5">Closing Remarks </h4>
</div>
</div>
</div>
<div class="row timeline-element separline mb-5">
<div class="timeline-date-panel col-12 col-md-4">
<div class="time-line-date-content">
<h4 class="mbr-timeline-date mbr-fonts-style display-5">10:30am-11:30pm </h4>
</div>
</div>
<span class="iconBackground"></span>
<div class="col-12 col-md-8">
<div class="timeline-text-content">
<h4 class="mbr-timeline-title mb-4 mbr-fonts-style display-5">Presentation 5-8</h4>
<p class="mbr-text mbr-fonts-style display-7"> <br> 10:30-10:45 On the causality of data-driven building thermal models<br><i>Fuyang Jiang, Johan Driesen, Hussain Kazmi</i><strong></strong></p>
<p class="mbr-text mbr-fonts-style display-7"> <br> 10:45-11:00 Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model<br><i>Chun Fu, Hussain Kazmi, Matias Quintana, Clayton Miller </i><strong></strong></p>
<p class="mbr-text mbr-fonts-style display-7"> <br> 11:00-11:15 Zone-Level Anomaly Detection in VAV Terminal Units Using an Unsupervised Learning Approach<br><i>Arya Parsaei, Burak Gunay, Liam OBrien, Ricardo Moromisato</i><strong></strong></p>
<p class="mbr-text mbr-fonts-style display-7"> <br> 11:15-11:30 The smart air purifier control strategy based on reinforcement learning for better IAQ and energy efficiency<br><i>Wenzhe Shang, Xilei Dai, Junjie Liu</i><strong></strong></p>
</div>
</div>
</div>
<!-- <div class="row timeline-element separline mb-5">
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<h4 class="mbr-timeline-date mbr-fonts-style display-5">TBD</h4>
</div>
</div>
<span class="iconBackground"></span>
<div class="col-12 col-md-8">
<div class="timeline-text-content">
<h4 class="mbr-timeline-title mb-4 mbr-fonts-style display-5">Keynote II </h4>
<p class="mbr-text mbr-fonts-style display-7"> <br> <strong></strong></p>
</div>
</div>
</div> -->
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<div class="timeline-date-panel col-12 col-md-4">
<div class="time-line-date-content">
<h4 class="mbr-timeline-date mbr-fonts-style display-5">10:10am-10:30am</h4>
</div>
</div>
<span class="iconBackground"></span>
<div class="col-12 col-md-8">
<div class="timeline-text-content">
<h4 class="mbr-timeline-title mb-4 mbr-fonts-style display-5">Break </h4>
</div>
</div>
</div>
<div class="row timeline-element separline mb-5">
<div class="timeline-date-panel col-12 col-md-4">
<div class="time-line-date-content">
<h4 class="mbr-timeline-date mbr-fonts-style display-5">9:10am-10:10am</h4>
</div>
</div>
<span class="iconBackground"></span>
<div class="col-12 col-md-8">
<div class="timeline-text-content">
<h4 class="mbr-timeline-title mb-4 mbr-fonts-style display-5">Presentation 1-4</h4>
<p class="mbr-text mbr-fonts-style display-7"> <br> 9:10-9:25 Multi-Model Future Typical Meteorological (fTMY) Weather Files for nearly every US County<br><i>Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua New </i><strong></strong></p>
<p class="mbr-text mbr-fonts-style display-7"> <br> 9:25-9:40 PressureML: Modelling Pressure Waves to Generate Large-Scale Water-Usage Insights in Buildings<br><i>Tanmaey Gupta, Anupam Sobti, Akshay Nambi </i><strong></strong></p>
<p class="mbr-text mbr-fonts-style display-7"> <br> 9:40-9:55 Explainable AI for Energy Prediction and Anomaly Detection in Smart Energy Buildings<br><i>Hardik Prabhu, Pandarasamy Arjunan, Jayaraman Valdi</i><strong></strong></p>
<p class="mbr-text mbr-fonts-style display-7"> <br> 9:55-10:10 Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System<br><i>Gargya Gokhale, Jonas Van Gompel, Bert Claessens, Chris Develder</i><strong></strong></p>
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<!-- <p class="mbr-text mbr-fonts-style display-7"><strong>Marios M. Polycarpou</strong>
<br>Professor, IEEE Fellow, IFAC Fellow<br>
Director, KIOS Research and Innovation Center of Excellence<br>
Professor of Electrical and Computer Engineering, University of Cyprus<br>
Visiting Professor, Imperial College London, U.K.<br>
<br>
<strong>Distributed Fault Diagnosis of Interconnected Cyber-Physical Systems</strong><br>
The emergence of interconnected cyber-physical systems and sensor/actuator networks has
given rise to advanced automation applications, where a large amount of sensor data is
collected and processed in order to make suitable real-time decisions and to achieve the
desired control objectives. However, in situations where some components behave abnormally
or become faulty, this may lead to serious degradation in performance or even to
catastrophic system failures, especially due to cascaded effects of the interconnected
subsystems. Distributed fault diagnosis refers to monitoring architectures where the overall
system is viewed as an interconnection of various subsystems, each of which is monitored by
a dedicated fault diagnosis agent that communicates and exchanges information with other
“neighboring” agents. The goal of this presentation is to provide insight into various
aspects of the design and analysis of intelligent monitoring and control schemes and to
discuss directions for future research.
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<li><a href="https://carleton.ca/bprc/people/burak-gunay/" class="text-primary"
target="_blank"><strong>Burak Gunay</strong></a><br>Carleton University, Canada
</li>
<li><a href="https://www.pnnl.gov/people/jan-drgona" class="text-primary"
target="_blank"><strong>Jan Drgona</strong></a><br>Pacific Northwest National
Laboratory, USA</li>
<li><a href="https://www.cmu.edu/cee/people/faculty/tang.html" class="text-primary"
target="_blank"><strong>Pingbo Tang</strong></a><br>Carnegie Mellon University,
USA</li>
<li><strong><a href="https://www.ornl.gov/staff-profile/joshua-r-new"
class="text-primary" target="_blank"><b>Joshua New</b></a><br></strong>Oak
Ridge National Laboratory, USA</li>
<li><a href="https://www.esat.kuleuven.be/electa/professors/00004317"
class="text-primary" target="_blank"><strong>Geert
Deconinck</strong></a><br>University of Leuven, KU Leuven, Belgium</li>
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<li><strong><a href="https://www.caee.utexas.edu/people/faculty/faculty-directory/nagy"
class="text-primary" target="_blank"><b>Zoltan
Nagy</b></a><br></strong>University of Texas, Austin, USA</li>
<li><a href="https://www.cyi.ac.cy/index.php/eewrc/about-the-center/eewrc-our-people/author/1250-panayiotis-papadopoulos.html"
class="text-primary" target="_blank"><strong>Panayiotis
Papadopoulos</strong></a><br>The Cyprus Institute , Cyprus</li>
<li><a href="https://coe.northeastern.edu/people/kane-michael/" class="text-primary"
target="_blank"><strong>Michael Kane</strong></a><br>Northeastern University,
USA</li>
<li><a href="https://www.samy101.com/" class="text-primary"
target="_blank"><strong>Pandarasamy
Arjunan</strong></a><br>Indian Institute of Science, India</li>
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<h6 class="item-subtitle mbr-fonts-style mt-1 display-7">[email protected]</h6>
<p class="mbr-text mbr-fonts-style mt-3 display-7">Syracuse University
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<h6 class="item-subtitle mbr-fonts-style mt-1 display-7">[email protected]</h6>
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<h6 class="item-subtitle mbr-fonts-style mt-1 display-7">[email protected]</h6>
<p class="mbr-text mbr-fonts-style mt-3 display-7">University of Kansas
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</h5>
<h6 class="item-subtitle mbr-fonts-style mt-1 display-7">[email protected]</h6>
<p class="mbr-text mbr-fonts-style mt-3 display-7">National University of Singapore
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<h6 class="item-subtitle mbr-fonts-style mt-1 display-7">[email protected]</h6>
<p class="mbr-text mbr-fonts-style mt-3 display-7">Syracuse University
<br>USA
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