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Mark Collett, Adam Hardy, Johann Meulemans and David Glew
In situ measurement can enable accurate evaluation of a building?s as-built performance. However, when measuring whole house performance, party walls introduce measurement uncertainty. Subsequently, it is common to ?adjust? measurements to isolate heat t...
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Ravijanya Chippagiri, Hindavi R. Gavali, Ana Bras and Rahul V. Ralegaonkar
The increasing urban population requires rapid housing construction. Rising global temperatures have led to more space cooling options inside buildings. There is a need to design new-age buildings with a sustainable, thermal comfort, and energy-efficienc...
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Zimo Wang, Yicheng Wang, Sensen Wu and Zhenhong Du
Confronted with the spatial heterogeneity of the real estate market, some traditional research has utilized geographically weighted regression (GWR) to estimate house prices. However, its predictive power still has some room to improve, and its kernel fu...
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Chen Jia, Yuefeng Liu, Yunyan Du, Jianfeng Huang and Teng Fei
As one of the essential indicators for the development of a city, urban vibrancy plays an important role in evaluating the quality of urban areas and guiding urban construction. The development of spatial big data makes it possible to obtain information ...
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Anastasiia Kolevatova, Michael A. Riegler, Francesco Cherubini, Xiangping Hu and Hugo L. Hammer
A general issue in climate science is the handling of big data and running complex and computationally heavy simulations. In this paper, we explore the potential of using machine learning (ML) to spare computational time and optimize data usage. The pape...
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