000 02797nam a22002777a 4500
003 OSt
005 20250618082222.0
008 250618b |||||||| |||| 00| 0 eng d
020 _a9781394172092
024 _2doi
_a10.1002/9781394172092
040 _aTUPM
_beng
_cTUPM
_dTUPM
_erda
100 _aAbbasabadi, Narjes
_eeditor.
245 _aArtificial intelligence in performance-driven design :
_btheories, methods, and tools /
_hebook
_cedited by: Narjes Abbasabadi, MehdiAshayeri
260 _bJohn Wiley & Sons, Inc.,
_c2024.
336 _2rdacontent
337 _2rdamedia
338 _2rdacarrier
504 _aIncludes bibliographic references and index.
520 _aA 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 enhance our understanding and management of these complex environments. This book also: - Incorporates emerging technologies into practical ideas to improve performance analysis and sustainable design - Presents data-driven methodologies and technologies that integrate into modeling and design platforms - Shares valuable insights and tools for developing decarbonization pathways in urban buildings - Includes contributions from expert researchers and educators across a range of related fields Artificial Intelligence in Performance-Driven Design is ideal for architects, engineers, planners, and researchers involved in sustainable design and the built environment. It’s also of interest to students of architecture, building science and technology, urban design and planning, environmental engineering, and computer science and engineering.
650 _aEbook
650 _aArchitecture
650 _aArtificial intelligence
_xperformance-driven design
700 _aAshayeri, Mehdi
_eeditor
856 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394172092
_yWiley Online Library
942 _2lcc
_cREF
_n0
999 _c29949
_d29949