A BIM and AIoT Integration Framework for Improving Energy Efficiency in Green Buildings-Reference-Cited by-同舟云学术

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A BIM and AIoT Integration Framework for Improving Energy Efficiency in Green Buildings

Published:2024-03-18 Issue: Volume:151 Page:577-585
ISSN:
Container-title:Construction Research Congress 2024
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Author:

Qiang Guofeng¹²³⁴,Tang Shu¹²³⁴,Hao Jianli¹²³⁴,Sarno Luigi Di¹²³⁴

Affiliation:

1. Ph.D. Student, Design School, Xi’an Jiaotong-Liverpool Univ., China.

2. Assistant Professor, Design School, Xi’an Jiaotong-Liverpool Univ., China .

3. Senior Associate Professor, Design School, Xi’an Jiaotong-Liverpool Univ., China.

4. Senior Lecturer, School of Engineering, Univ. of Liverpool, UK.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485262.059

Reference14 articles.

1. A Systematic Literature Review on the Use of Artificial Intelligence in Energy Self-Management in Smart Buildings;Aguilar J.;Renewable and Sustainable Energy Reviews,2021

2. Intelligent Cubic-Designed Piezoelectric Node (ICUPE) with Simultaneous Sensing and Energy Harvesting Ability toward Self- Sustained Artificial Intelligence of Things;Huang M.;ACS Nano,2023

3. BIM and IoT Data Fusion: The Data Process Model Perspective;Huang X.;Automation in Construction,2023

4. Building Information Modelling and Green Building Certification Systems : A Systematic Literature Review and Gap Spotting;Ibrahim O.;Sustainable Cities and Society,2022

5. Energy & Buildings MyComfort : An Integration of BIM-IoT-Machine Learning for Optimizing Indoor Thermal Comfort Based on User Experience;Kanna K.;Energy & Buildings,2022

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