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Data-driven analytics for sustainable buildings and cities: from theory to application
Dalarna University, School of Information and Engineering, Energy Technology.ORCID iD: 0000-0002-2369-0169
2021 (English)Book (Refereed)
Abstract [en]

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. 

Place, publisher, year, edition, pages
Springer, 2021.
Series
Sustainable Development Goals Series, ISSN 2523-3084, E-ISSN 2523-3092
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:du-38105DOI: 10.1007/978-981-16-2778-1ISBN: 978-981-16-2777-4 (print)ISBN: 978-981-16-2778-1 (electronic)OAI: oai:DiVA.org:du-38105DiVA, id: diva2:1593960
Available from: 2021-09-14 Created: 2021-09-14 Last updated: 2023-04-14Bibliographically approved

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Zhang, Xingxing

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf