Download the fantastic book titled Data driven Analytics for Sustainable Buildings and Cities written by Xingxing Zhang, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Data driven Analytics for Sustainable Buildings and Cities", which was released on 11 September 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Social Science genre.
Summary of Data driven Analytics for Sustainable Buildings and Cities by Xingxing Zhang PDF
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.
Detail About Data driven Analytics for Sustainable Buildings and Cities PDF
- Author : Xingxing Zhang
- Publisher : Springer Nature
- Genre : Social Science
- Total Pages : 450 pages
- ISBN : 9811627789
- Release Date : 11 September 2021
- PDF File Size : 15,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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