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Image of Data-driven Analytics for Sustainable Buildings and Cities

Electronic Resource

Data-driven Analytics for Sustainable Buildings and Cities

Zhang, Xingxing - Personal Name;

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This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.


Availability
Inventory Code Barcode Call Number Location Status
2108000457EB0004537338.9 DatCentral Library (OPAC)Available
Detail Information
Series Title
Sustainable Development Goals Series
Call Number
338.9 Dat
Publisher
Singapore : Springer Singapore., 2021
Collation
ix, 450p.:ill
Language
English
ISBN/ISSN
978-981-16-2778-1
Classification
338.9.
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Sustainable Development
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

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  • Data-driven Analytics for Sustainable Buildings and Cities
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