Smart City Gnosys

Smart city article details

Title	The 1St Acm International Workshop On Big Data And Machine Learning For Smart Buildings And Cities
ID_Doc	54834
Authors	Dong B.; Markovic R.; Carlucci S.
Year	2021
Published	BuildSys 2021 - Proceedings of the 2021 ACM International Conference on Systems for Energy-Efficient Built Environments
DOI	http://dx.doi.org/10.1145/3486611.3491139
Abstract	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. The workshop aims to open discussion on the current challenges of big data in smart buildings and cities. © 2021 ACM.
Author Keywords	big data analysis; digital cities; machine learning; modeling and prediction; occupant behavior; smart buildings

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