Abstract
Buildings, communities and cities are now undergoing an accelerated transition in order to achieve goals of sustainability, security and resilience. Smart buildings and cities are generating a great amount of data by a very wide variety of sources. Data from these sources can be used to understand occupancy behaviour, evaluate energy performance, improve RES market competitiveness, enhance overall resources efficiency and so on. The emergence of the internet of things, improved data standards, big data analytical technologies and visualisation techniques are increasingly enabling the comprehensive applications in building and cities, allowing decision makers to understand and interrogate complex data from a variety of sources. The integration of data-driven analytics in building and cities could be a solution to the achievement of Sustainable Development Goals (SDGs). This chapter introduces background, motivation and structure for the whole book.
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Zhang, X. (2021). The Evolving of Data-Driven Analytics for Buildings and Cities Towards Sustainability. In: Zhang, X. (eds) Data-driven Analytics for Sustainable Buildings and Cities. Sustainable Development Goals Series. Springer, Singapore. https://doi.org/10.1007/978-981-16-2778-1_1
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DOI: https://doi.org/10.1007/978-981-16-2778-1_1
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