This book (1) integrates artificial intelligence into modeling, evaluation, and optimization of building systems, enabling multi-scale and multi-objective analysis; (2) uncovers the underlying mechanisms and interdependencies influencing building energy, comfort, and carbon performance across spatial and temporal dimensions; (3) presents cutting-edge analytical and optimization methods that support data-informed design, diagnosis, and operation; and (4) demonstrates the applicability and scalability of AI techniques through representative case studies and methodological examples. By uniting theoretical advancement with practical implementation, this book offers both a scientific foundation and a reference guide for researchers, engineers, and policymakers striving to enhance the intelligence, efficiency, and sustainability of the built environment.
This book (1) integrates artificial intelligence into modeling, evaluation, and optimization of building systems, enabling multi-scale and multi-objective analysis; (2) uncovers the underlying mechanisms and interdependencies influencing building energy, comfort, and carbon performance across spatial and temporal dimensions; (3) presents cutting-edge analytical and optimization methods that support data-informed design, diagnosis, and operation; and (4) demonstrates the applicability and scalability of AI techniques through representative case studies and methodological examples. By uniting theoretical advancement with practical implementation, this book offers both a scientific foundation and a reference guide for researchers, engineers, and policymakers striving to enhance the intelligence, efficiency, and sustainability of the built environment.
Limao Zhang
Green Buildings Building Energy Consumption Energy-Efficient Building Design HVAC Control Spatio-Temporal Heterogeneity Analysis Artificial Intelligence (AI)