Encyclopedia of Building Performance, Climate Change, and Applied AI

A topical collection in Encyclopedia (ISSN 2673-8392). This collection belongs to the section "Engineering".

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Editors


E-Mail Website
Collection Editor
Department of Computer Science & Engineering and Information Technology, Shiraz University, Shiraz, Iran
Interests: application of fuzzy logic and soft computing in modelling complex systems; AI-driven decision-making frameworks for uncertainty in climate-responsive building systems; intelligent algorithms for environmental monitoring and sustainability assessment; type-2 fuzzy systems for robust prediction in energy and climate data analytics

Topical Collection Information

Dear Colleagues,

The built environment plays a pivotal role in addressing the global climate crisis, accounting for over one-third of total energy consumption and a significant portion of carbon emissions. With growing pressures to decarbonise buildings, enhance resilience, and achieve net-zero targets, there is an urgent need for innovative approaches that integrate advanced technologies and interdisciplinary research.

This Topical Collection—Encyclopedia of Building Performance, Climate Change, and Applied AI—seeks to serve as a comprehensive and authoritative reference on how buildings can be designed, operated, and retrofitted to respond effectively to climate change. It is led by Professor Ali Bahadori Jahromi, whose research at the University of West London focuses on sustainable building performance, climate adaptation, and the application of artificial intelligence in the built environment.

We invite high-quality contributions exploring the intersection of building science, climate resilience, and AI-based solutions. Topics of interest include, but are not limited to:

  • AI-driven energy modelling and performance prediction;
  • Machine learning for building diagnostics and predictive maintenance;
  • Digital twins and smart building technologies;
  • Retrofit strategies for decarbonisation and energy efficiency;
  • Data analytics for occupant behaviour and environmental monitoring;
  • Life-cycle sustainability assessment and climate adaptation frameworks.

This collection welcomes both theoretical and applied works, aiming to engage academics, industry professionals, and policymakers seeking innovative, evidence-based pathways to transform buildings into intelligent, climate-responsive systems.

Prof. Dr. Ali Bahadori-Jahromi
Dr. Tahayori Hooman
Collection 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 collection 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. Encyclopedia is an international peer-reviewed open access quarterly 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 1000 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

  • building performance
  • climate change
  • artificial intelligence
  • energy efficiency
  • smart buildings

Published Papers

This collection is now open for submission.
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