Atomically Thin Mesoporous Nanomesh of Graphitic C3N4 for High-Efficiency Photocatalytic Hydrogen Evolution
Qing Han;Bing Wang;Jian Gao;Zhihua Cheng.
ACS Nano (2016)
Vertically Aligned Graphene Sheets Membrane for Highly Efficient Solar Thermal Generation of Clean Water
Panpan Zhang;Jing Li;Lingxiao Lv;Yang Zhao.
ACS Nano (2017)
Graphene-based smart materials
Xiaowen Yu;Huhu Cheng;Miao Zhang;Yang Zhao.
Nature Reviews Materials (2017)
A short-term building cooling load prediction method using deep learning algorithms
Cheng Fan;Fu Xiao;Yang Zhao.
Applied Energy (2017)
Occupancy measurement in commercial office buildings for demand-driven control applications : a survey and detection system evaluation
TM Timilehin Labeodan;W Wim Zeiler;G Gert Boxem;Y Yang Zhao.
Energy and Buildings (2015)
MnO 2 -modified hierarchical graphene fiber electrochemical supercapacitor
Qing Chen;Yuning Meng;Chuangang Hu;Yang Zhao.
Journal of Power Sources (2014)
Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future
Yang Zhao;Tingting Li;Xuejun Zhang;Chaobo Zhang.
Renewable & Sustainable Energy Reviews (2019)
Pattern recognition-based chillers fault detection method using Support Vector Data Description (SVDD)
Yang Zhao;Shengwei Wang;Fu Xiao.
Applied Energy (2013)
A capacity recoverable zinc-ion micro-supercapacitor
Guoqiang Sun;Hongsheng Yang;Guofeng Zhang;Jian Gao.
Energy and Environmental Science (2018)
An intelligent chiller fault detection and diagnosis methodology using Bayesian belief network
Yang Zhao;Fu Xiao;Shengwei Wang.
Energy and Buildings (2013)
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Tsinghua University
City University of Hong Kong
Beijing Institute of Technology
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The University of Texas at Austin
Beijing Institute of Technology
Tsinghua University
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Claude Bernard University Lyon 1
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Peking University
Universiti Sains Malaysia
Shanghai Jiao Tong University
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