Fueled by big data, powerful and affordable computing resources, and advanced algorithms,
machine learning has been explored and applied to buildings research for the past decades …

For a sustainable urban environment, the adoption of building-integrated photovoltaics
(BIPV) is a promising solution. Despite multiple studies on BIPV in individual buildings, scant …

Street vitality has become an essential indicator for evaluating the attractiveness and
potential of the sustainable development of urban blocks, and it can be reflected by the type …

Building façades elements detection plays a key point role in façade defects detection and
street scene reconstruction tasks for sustainable city development. Although the artificial …

This paper describes a pipeline for automatically generating level of detail (LOD) models
(digital twins), specifically LOD2 and LOD3, from free-standing buildings. Our approach …

In fault diagnosis, deep learning plays an important role, but still lacks good interpretability.
To address this issue, we develop a novel fault frequency priors fusion deep learning (FFP …

In recent times, there has been a growing interest in urban building energy modeling
(UBEM), owing to its potential benefits for cities. These benefits include aiding city decision …

The extraction and integration of building facade data are necessary for the development of
information infrastructure for urban environments. However, existing methods for parsing …

Building retrofit is an important facet in the drive to reduce global greenhouse gas
emissions. However, delivering building retrofit at scale is a significant challenge, especially …

Convolutional and adversarial networks are found in various fields of knowledge and
activities. One such field is building design, a multi-disciplinary and multi-task process …