@inproceedings{f02199d8ffab4e638feeb21954652e01,
title = "BIM, IoT, and data mining integration framework for improving green building energy resilience",
abstract = "Green buildings (GB) aim to minimize the environmental impact of construction and operation activities. The adoption of building information modeling (BIM), the Internet of Things (IoT), and data mining (DM) presents promising opportunities for managing GBs with high energy efficiency. However, research on integrating these digital technologies to enhance GB energy resilience requires further improvement. This study reviews the applications of these three digital technologies in GB. Subsequently, an integration framework is constructed using semantic technologies to enable data exchange among BIM, IoT, and DM. Additionally, this paper illustrates how digital technologies can improve energy resilience in GB. Finally, the limitations and challenges of enhancing GB energy resilience are discussed. This research provides valuable insights into the practical application of digital technologies to advance energy efficiency in GBs. The proposed conceptual integration framework is a foundation for a digital solution that improves GB energy resilience.",
keywords = "BIM, Data mining, Energy resilience, Green buildings, Integration framework, IoT",
author = "Guofeng Qiang and Shu Tang",
note = "Publisher Copyright: {\textcopyright} International Conference on Computing in Civil Engineering 2023.All rights reserved.; ASCE International Conference on Computing in Civil Engineering 2023: Data, Sensing, and Analytics, i3CE 2023 ; Conference date: 25-06-2023 Through 28-06-2023",
year = "2024",
doi = "10.1061/9780784485224.014",
language = "English",
series = "Computing in Civil Engineering 2023: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "109--115",
editor = "Yelda Turkan and Joseph Louis and Fernanda Leite and Semiha Ergan",
booktitle = "Computing in Civil Engineering 2023",
}