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教育背景: 2006~2010西安交通大学,电气工程与自动化专业,学士 2010~2011弗吉尼亚大学(美国),电气工程与自动化专业,硕士 2014~2018西安建筑科技大学,管理科学与工程专业,博士 2016~2017佛罗里达大学(美国),建筑学,访问学者 工作经历: 2012-2018陕西煤业化工集团有限责任公司 2018至今西安建筑科技大学 社会兼职: [1]FrontiersofEngineeringManagement特约通讯专家 [2]中国可再生能源学会热利用专委会委员 [3]AppliedEnergy,SustainableCitiesandSociety,InternationalJournalofEnergyResearch,TheEngineeringEconomist等期刊审稿人
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Paper Publications
李娜,罗福周,刘江华,高雅儒,Xing Menglin,周婷婷,朱可欣,luoxi.Exploring the influencing factors of Chinese rural households' clean heating choice considering the attitude-behavior gap based on two-level classification methods:Energy and Buildings,2022,273(2022):112357
liuyanfeng,刘正学,胡亮,王亚星,luoxi.基于柔性负荷的孤立多能互补建筑能源系统优化设计:太阳能学报,2022,43(6):24-32
liuyanfeng,王碰,张敏,赵天亮,杨燕子,sunyongkai,刘晓丹,刘江华,luoxi.Analysis of flexible energy use behavior of rural residents based on two-stage questionnaire: A case study in Xi'an China:Energy and Buildings,2022,269(2022):112246
liuyanfeng,王亚星,胡筱雪,刘正学,luoxi.基于动态运行策略的太阳能分布式供能系统设计运行联合优化:太阳能学报,2022,43(5):244-251
刘江华,liuxiaojun,李娜,Xing Menglin,高雅儒,liuyanfeng,luoxi.Rural residents' acceptance of clean heating: An extended technology acceptance model considering rural residents' livelihood capital and perception of clean heating:Energy and Buildings,2022,267(2022):112154
luoxi,sunyongkai,liuxiaojun,高雅儒,liuyanfeng.Course timetable optimization for a university teaching building considering the building energy efficiency and time-varying thermal perception of students:Building and Environment,2022,219(2022):109175
luoxi,石文策,姜玉森,liuyanfeng,xiajinwen.Distributed peer-to-peer energy trading based on game theory in a community microgrid considering ownership complexity of distributed energy resources:Journal of Cleaner Production,2022,351(2022):133572
李娜,Xing Menglin,刘江华,高雅儒,周婷婷,张敏,liuyanfeng,luoxi.Exploring the formation conditions and dynamic trends of rural residents' clean heating behaviour in northern China based on reinforcement learning:Journal of Cleaner Production,2022,344(2022):131142
liuxiaojun,张敏,王碰,穆婷,明慧,胡德泽,赵天亮,杨燕子,luoxi.Impact of socio-economic characteristics on energy consumption behaviors of suburban rural residents: evidence from on-site surveys in the Guanzhong Plain of China:International Journal of Low-Carbon Technologies,2022,17:38-57
luoxi,liuyanfeng,liuxiaojun.Bi-level multi-objective optimization of design and subsidies for standalone hybrid renewable energy systems: A novel approach based on artificial neural network:Journal of Building Engineering,2021,41(2021):102744
total68 5/7
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