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