Discover the transformative power of artificial intelligence in sustainable design with *Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools*. This cutting-edge publication serves as a comprehensive interdisciplinary reference, emphasizing the integration of AI and data-driven methodologies to enhance performance modeling in the built environment. Explore how machine learning (ML) can revolutionize energy flow analysis, environmental quality assessment, and human system interaction.

Delve into advanced theoretical foundations and methodological frameworks that apply AI/ML techniques for multi-scale modeling. The book offers a thorough examination of practical applications, case studies, and computational tools designed to harness AI's capabilities for improved modeling frameworks. Enhance your projects with insights that improve efficiency, accuracy, and integration in physics-based simulations, optimization, and automation processes.

Learn how intelligent systems and digital twins can be seamlessly integrated throughout the lifecycle of your architectural projects to deepen your understanding and management of complex environments. Additionally, the text presents innovative strategies for incorporating emerging technologies to boost performance analysis and sustainable design practices.

Whether you're looking for data-driven methodologies, practical ideas for urban decarbonization, or expert insights from top researchers in the field, this book is a must-have resource for anyone committed to performance-driven design.