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教师英文名称:Chencong
职称:副教授
硕士生导师
毕业院校:华北电力大学
学科:国际贸易学
学历:研究生
学位:博士
所在单位:经济管理学院
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论文成果
[1]Xueting Zeng, Cong Chen, Yinan Sheng, Chunjiang An, Xiangming Kong, Shan Zhao, and, Guohe Huang. Planning Water Resources in an Agroforest Ecosystem for Improvement of Eegional Ecological Function under Uncertainties. Water, 2018 doi:10.3390/w10030415..
[2]Kong Xiangming, Zeng Xueting, Chen Cong, Fan Yurui*, Huang Guohe*, Li Yongping, and Wang Chunxiao, Development of a Maximum Entropy-Archimedean Copula-Based Bayesian Network Method for Streamflow Frequency Analysis—A Case Study of the Kaidu River Basin, China, Water, 2018, 11(42): doi:10.3390/w11010042.
[3]Ying Zhu, Xiaxia Yan, Cong Chen, Yongping Li, Guohe Huang, Yexin Li. Analysis of industry-air quality control in ecologically fragile coal dependent cities by an uncertain Gaussian diffusion-Hurwicz criterion model. Energy policy, 132:1191-1205, 2019..
[4]陈聪,李薇*,李延峰,祝颖,生物质发电厂优化选址建模及决策研究,农业工程学报, 2011 (1) : 255~260. (EI检索).
[5]陈聪(#)(*),黄国和,李永平,李萌文,基于随机鲁棒区间方法的生物质电厂选址风险分析模型,农业工程学院,2013 (20): 206~213. (EI检索).
[6]Cong Chen, Yongping Li, Guohe Huang*, Ying Zhu, A robust risk analysis method for water resources allocation under uncertainty, Stochastic Environmental Research and Risk Assessment, 2013 (27): 713-723. (SCI检索).
[7]Cong Chen, Yongpi Li*, Guohe Huang, Yanfeng Li, Electric power systems planning in association with air pollution control and uncertainty analysis, International Journal of Electrical Power and Energy, 2012 (61): 563-575. (SCI检索)..
[8]Cong Chen, Yongping Li*, Guohe Huang, Ying Z, An inexact robust nonlinear optimization method for energy systems planning under uncertainty, Renewable Energy, 2012 (47): 55-66. (SCI检索)..
[9]Cong Chen, Yongping Li*, Guohe Huang, An inexact robust optimization method for supporting carbon dioxide emissions management in regional electric-power systems, Energy Economics, 2013 (40): 441-456. (SSCI检索)..
[10]Cong Chen, Yongping Li*, Guohe Huang, Interval-fuzzy municipal-scale energy model (IF-MEM) for identification of optimal strategies for energy management – A case study of Tianjin, Renewable Energy, 2016( 86): 1161-1177. (SCI检索).
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