The 1st ACM international workshop on big data and machine learning for smart buildings and cities

Bing Dong, Romana Markovic, Salvatore Carlucci

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

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.

Original languageEnglish (US)
Title of host publicationBuildSys 2021 - Proceedings of the 2021 ACM International Conference on Systems for Energy-Efficient Built Environments
PublisherAssociation for Computing Machinery, Inc
Pages338-340
Number of pages3
ISBN (Electronic)9781450391146
DOIs
StatePublished - Nov 17 2021
Event8th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys 2021 - Virtual, Online, Portugal
Duration: Nov 17 2021Nov 18 2021

Publication series

NameBuildSys 2021 - Proceedings of the 2021 ACM International Conference on Systems for Energy-Efficient Built Environments

Conference

Conference8th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys 2021
Country/TerritoryPortugal
CityVirtual, Online
Period11/17/2111/18/21

Keywords

  • big data analysis
  • digital cities
  • machine learning
  • modeling and prediction
  • occupant behavior
  • smart buildings

ASJC Scopus subject areas

  • Information Systems
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Building and Construction
  • Computer Networks and Communications
  • Architecture

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