Description

Book Synopsis

A definitive, interdisciplinary reference to using artificial intelligence technology and data-driven methodologies for sustainable design

Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of artificial intelligence (AI), specifically machine learning (ML), for performance modeling within the built environment. This work develops the theoretical foundations and methodological frameworks for utilizing AI/ML, with an emphasis on multi-scale modeling encompassing energy flows, environmental quality, and human systems.

The book examines relevant practices, case studies, and computational tools that harness AI's capabilities in modeling frameworks, enhancing the efficiency, accuracy, and integration of physics-based simulation, optimization, and automation processes. Furthermore, it highlights the integration of intelligent systems and digital twins throughout the lifecycle of the built environment, to enh

Artificial Intelligence in PerformanceDriven

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    A Paperback by Narjes Abbasabadi

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      Publisher: John Wiley & Sons
      Publication Date: 5/23/2024
      ISBN13: 9781394172061, 978-1394172061
      ISBN10: 1394172060
      Also in:
      Architecture

      Description

      Book Synopsis

      A definitive, interdisciplinary reference to using artificial intelligence technology and data-driven methodologies for sustainable design

      Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of artificial intelligence (AI), specifically machine learning (ML), for performance modeling within the built environment. This work develops the theoretical foundations and methodological frameworks for utilizing AI/ML, with an emphasis on multi-scale modeling encompassing energy flows, environmental quality, and human systems.

      The book examines relevant practices, case studies, and computational tools that harness AI's capabilities in modeling frameworks, enhancing the efficiency, accuracy, and integration of physics-based simulation, optimization, and automation processes. Furthermore, it highlights the integration of intelligent systems and digital twins throughout the lifecycle of the built environment, to enh

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