Rui Zhu
Singapore–MIT alliance
34 Papers
57 Citations
Rui Zhu is an academic researcher from Singapore–MIT alliance. The author has contributed to research in topics: Photovoltaic system & Urban heat island. The author has an hindex of 8, co-authored 33 publications. Previous affiliations of Rui Zhu include Chinese Ministry of Education & Royal Institute of Technology.
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Papers
Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility
TL;DR: It is found that shared scooters have spatially compact and quantitatively denser distribution compared with shared bikes, and their high demands associate with places such as attractions, metros, and the dormitory.
172
A city-scale estimation of rooftop solar photovoltaic potential based on deep learning
Teng Zhong,Teng Zhong,Zhixin Zhang,Zhixin Zhang,Min Chen,Kai Zhang,Kai Zhang,Zixuan Zhou,Zixuan Zhou,Rui Zhu,Yijie Wang,Yijie Wang,Guonian Lü,Guonian Lü,Jinyue Yan,Jinyue Yan +15 more
TL;DR: In this paper, a generic framework for estimating the rooftop solar PV potential on a city-scale using publicly available high-resolution satellite images is proposed, where a deep learning-based method is developed to extract the rooftop area with image semantic segmentation automatically.
114
Estimation of Hong Kong's solar energy potential using GIS and remote sensing technologies
TL;DR: In this paper, the authors used Remote Sensing (RS) technologies and Geographic Information Systems (GIS) for estimation of city-wide photovoltaic (PV) potential in Hong Kong.
114
The effect of urban morphology on the solar capacity of three-dimensional cities
Rui Zhu,Rui Zhu,Man Sing Wong,Linlin You,Paolo Santi,Janet Elizabeth Nichol,Hung Chak Ho,Lin Lu,Carlo Ratti +8 more
TL;DR: In this article, the authors provide a solar irradiation estimation solution for three-dimensional (3D) cities to quantify annual irradiations on urban envelopes and investigate the effect of urban morphology on the resulting solar capacity.
79
Assessment of solar photovoltaic potentials on urban noise barriers using street-view imagery
Teng Zhong,Teng Zhong,Kai Zhang,Kai Zhang,Min Chen,Yijie Wang,Yijie Wang,Rui Zhu,Zhixin Zhang,Zhixin Zhang,Zixuan Zhou,Zixuan Zhou,Zhen Qian,Zhen Qian,Guonian Lv,Guonian Lv,Jinyue Yan,Jinyue Yan +17 more
TL;DR: Wang et al. as discussed by the authors used a deep learning-based method to detect existing noise barrier sites from massive street-view images, and then identified the planned barrier sites with urban policies.
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