@inproceedings{8c8573c4bbb84eb2ba4b2611883f2b9f,
title = "How to Embed AI Applications of Building Management System in Campus Management",
abstract = "Artificial Intelligence (AI) is widely embedded in Building Management System (BMS). Data collected from different sensors and records are fed into AI algorithms like linear regression and Support Vector Machines (SVM). These models help to optimize management of building facilities, thus optimizing energy consumption, enhancing security, and cutting management costs. Despite AI has been successfully adopted in government buildings, shopping malls, and housing neighborhoods, the technology adoption in campus is seldom studied. Building on the existing technological approaches, this paper extensively investigates the needs of campus management in the post-pandemic period. By reviewing current applications of different commercially available BMS with embed AI, further adoption of this technology in campus management is explored. The review showed that embedded AI applications of BMS can provide solutions fit for managing academic campuses in the post-pandemic era, which is worth further studying.",
keywords = "Academic campus, Artificial intelligence (AI), Building management (BMS), Campus management",
author = "Li, {C. H.} and Yuen, {H. Y.} and Lee, {T. T.} and Tang, {W. F.} and Lee, {C. C.} and C. Ng and Mak, {S. L.}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2023 ; Conference date: 21-08-2023 Through 24-08-2023",
year = "2024",
doi = "10.1007/978-981-99-8031-4_35",
language = "English",
isbn = "9789819980307",
series = "Lecture Notes in Networks and Systems",
pages = "403--411",
editor = "Nagar, {Atulya K.} and Jat, {Dharm Singh} and Durgesh Mishra and Amit Joshi",
booktitle = "Intelligent Sustainable Systems - Selected Papers of WorldS4 2023",
}
