孙锲山东大学主页平台管理系统--中文主页

扫描手机二维码

欢迎您的访问
您是第位访客

开通时间：..

最后更新时间：..

登录| 山东大学| English | 手机版

孙锲 ( 教授 ) 赞
个人主页 http://faculty.sdu.edu.cn/sunqie/zh_CN/index.htm
教授博士生导师硕士生导师

论文成果当前位置：中文主页 >> 科学研究 >> 论文成果

[61] 孙锲. A dynamic price model based on levelized cost for district heating. Energy, Ecology and Environment, 2019.
[62] 孙锲 , 尹弘毅 , 任霄汉 and 罗纳德. Evaluating the Benefits of Integrating Floating Photovoltaic and Pumped Storage Power Systems. ENERGY CONVERSION AND MANAGEMENT, 2019.
[63] 孙锲. Deep Neural Network-based Impacts Analysis of Multimodal Factors on Heat Demand Prediction. IEEE Transactions on Big Data, 2019.
[64] 孙锲 , 程林 and 罗纳德. Simulation analysis of household solar assistant radiant floor heating system in cold area. Energy Procedia, 2019.
[65] 宋继伟 , 孙锲 and 程林. Temperature response characteristics of the thermal control system of alpha magnetic spectrometer.... Nuclear Inst. and Methods in Physics Research, 2019.
[66] 孙锲 , 程林 and 罗纳德. Modeling and techno-economic analysis of the heat pump-integrated PEMFC-based micro-CHP system. Energy Procedia, 2018.
[67] 孙锲 and 罗纳德. Modeling charging demand of electric vehicles in multi-locations using agent-based method. Energy Procedia, 2018.
[68] 孙锲 and 罗纳德. Impacts of climate change on the cooling loads of residential buildings differences between occup.... Energy Procedia, 2017.
[69] 孙锲 and 罗纳德. Study on the application of latent heat cold storage in a refrigerated warehouse. Energy Procedia, 2017.
[70] 孙锲 , 尹弘毅 , 罗纳德 and 刘璐瑶. Prediction of short-term PV power output and uncertainty analysis. Applied energy, 228, 700, 2018.
[71] 罗纳德 , 孙锲 and 王勤兴. Potential of energy saving in a data center - application of an agent-based modelling. 8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 105, 2017.
[72] 罗纳德 , 孙锲 and 王喻. Agent-based Modeling of High-resolution Household Electricity Demand Profiles: A Novel Tool for P.... 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), 2017.
[73] 孙锲 , 罗纳德 and 蔺海洋. The energy-saving potential of an office under different pricing mechanisms – Application o.... Appl. Energy, 202, 248, 2017.
[74] 孙锲 and Xie, Jiyang. Analysis of Key Factors in Heat Demand Prediction with Neural Networks. 8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 105, 2965, 2017.
[75] 孙锲 and Zhang, Qi. Factors influencing the economics of public charging infrastructures for EV - A review. Renewable & Sustainable Energy Reviews, 94, 500, 2018.

共201条 5/14

首页上页下页尾页页

版权所有 ©山东大学　地址：中国山东省济南市山大南路27号　邮编：250100　
查号台：（86）-0531-88395114
值班电话：（86）-0531-88364731　建设维护：山东大学信息化工作办公室　　