中文

ZHU Ying

Personal Information
Name (English): ZHU Ying
Name (Pinyin): zhuying
School/Department: 环境与市政工程学院
Education Level: PhD student
Contact Information: 邮箱 : zhuyingxauat@163.com
Degree: Doctoral degree
Status: Employed
Academic Titles: 国家科技专家库专家
Other Post: 环境科学学会会员，系统工程学会会员
Alma Mater: 华北电力大学

Paper Publications

Current position: Home > Scientific Research > Paper Publications

ZHU Ying,.环境设计专业实践性创新人才的培养策略:环境工程,2021,卷：39(期：12):页：291
ZHU Ying,Wei,Z.,Li,Y.X.,Du,H.X.,Guo,Y.Energy and atmosphere system planning of coal-dependent cities based on an interval minimax-regret coupled joint-probabilistic cost-benefit approach:Energy,2021,卷：239(期：B):页：122154
ZHU Ying,Cui,T.H.,Liu,Y.Z.,Zhou,Q.,Li,Y.X.Research on inter-provincial transfer of CO2 emissions from transportation by considering fuzzy parameter:Sustainability,2021,卷：13(期：13):页：747
ZHU Ying,Yang,S.Z.,Ge,B.Z.,Li,Y.X..Design optimization and uncertainty analysis of multi-energy complementary system for residential building in isolated area:Energy Conversion and Management,2021,卷：241(期：):页：114310
ZHU Ying,罗静琪,刘焕武,沈振兴,李业鑫,liuyanzheng,周勇.新冠疫情期间西安市北郊PM2.5化学特征及来源分析:中国粉体技术,2021,卷：27(期：06):页：37-49
ZHU Ying,Wei,Z.,Li,Y.X.,Yang,S.Z.,Luo,J.Q.An uncertain cost-benefit industrial system planning model considering atmospheric environmental constraints:2021 International Conference on Advanced Enterprise Information System,2021,卷：(期：):页：67-70
ZHU Ying,Wei,Z.,Li,Y.X.,Luo,J.Q.,Ge,B.Z.Industry-energy system management by a Copula-based stochastic programming approach:E3S Web Conference,2021,卷：267(期：):页：01002
ZHU Ying,Cui,T.H.,Liu,Y.Z.,Yang,S.Z.,Du,H.X.Inter-sectoral CO2 flows implied in trade for Zhejiang Province, China:E3S Web of Conferences,2021,卷：267(期：):页：01029
ZHU Ying,Tong,Q.L.,Yan,X.X.,Liu,Y.Z.,Zhang,J.L.,Li,Y.P.,Huang,G.H.Optimal design of multi-energy complementary power generation system considering fossil energy scarcity coefficient under uncertainty:Journal of Cleaner Production,2020,卷：274(期：):页：122732
Liu,Y.F.*,Zhou,Y.,Chen,Y.W.,Wang,D.J.,Wang,Y.Y.,ZHU Ying.Comparison of support vector machine and copula-based nonlinear quantile regression for estimating the daily diffuse solar radiation: A case study in China:Renewable Energy,2020,卷：146(期：):页：1101-1112

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