AI and Data Analytics for Energy-Efficient and Healthy Buildings: 2nd Edition

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Energy, Physics, Environment, and Systems".

Deadline for manuscript submissions: 29 November 2024 | Viewed by 43

Special Issue Editors


E-Mail Website
Guest Editor
Engineering Department, Cambridge University, Trumpington Street, Cambridge CB2 1PZ, UK
Interests: air conditioning systems; energy efficiency in buildings; AI and data analytics for the built environment
Special Issues, Collections and Topics in MDPI journals
Department of Civil Engineering, Faculty of Engineering Sciences, KU Leuven, 3000 Leuven, Belgium
Interests: building/district energy use modeling; indoor environment; building performance improvement; advanced control of building energy systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: built environment; building envelope; building ventilation; smart buildings
Special Issues, Collections and Topics in MDPI journals
School of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen 361021, China
Interests: hybrid air conditioning systems; indirect evaporative cooling; enhanced heat and mass transfer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Building designs, operations, and commissioning are being revolutionized, with an increased emphasis on healthier, smarter, and more efficient environments. With the increasing penetration of smart sensors, the increasing electrification of buildings, and overwhelming amounts of data, artificial intelligence (AI) and big data analytics have shown extraordinary potential for improving building performance; however, the actual performance of emerging technologies has not been fully tested due to the complex, interdependent, and time-dependent stochastic nature of building systems spanning various types, functions, eras, and climates. 

In the context of this Special Issue, paper submissions related to the application of AI and data analytics to the built environment are welcome, especially in the domains of smart buildings, smart urban planning, and smart cities. Topics of interest include, but are not limited to, the following: smart digital technology for energy conservation and healthy buildings; transfer learning for modeling, diagnosis, and optimization in smart buildings; smart urban planning and city resilience; probabilistic modeling and risk-based decision support for building energy systems; data-driven ensemble AI models for energy and infection risk forecasting; and big data analytics for building and facility management, etc.

The purpose of this Special Issue is to develop AI-based guidelines and protocols for built environments, responding better to carbon neutrality and climate change.

Dr. Chaoqun Zhuang
Dr. Rui Guo
Dr. Chong Zhang
Dr. Yunran Min
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • energy-efficient and healthy buildings
  • AI and data analytics
  • data-driven modelling
  • smart digital technology
  • smart buildings
  • smart urban planning
  • smart cities
  • intelligent architecture

Related Special Issue

Published Papers

This special issue is now open for submission.
Back to TopTop