师资队伍

杜沛

系别:管理科学与工程系

职称:讲师

联系方式:renshengdp@126.com

科学研究:主要研究方向:大数据挖掘分析、统计建模、机器学习、智能算法、预测理论与方法的研究及其在能源、环境、经济与食品安全管理等领域的应用。

部分研究成果(*为通讯作者):
[1]Du Pei, Ji Mingyang, Du Juntao*, Wang Jianzhou. A novel mixed-frequency deep learning forecasting model for natural resource prices: A case study of copper futures price. Geoscience Frontiers, 2026, 17, 102159. https://doi.org/10.1016/j.gsf.2025.102159. (国产期刊,中科院SCI一区,TOP期刊,影响因子:12.7,JCR分区:Q1)
[2]Wu Han, Gao Xiaozhi, Li Zhong, Heng Jiani, Du Pei*. Audiovisual-cognition-inspired network with explainability for oil price forecasting. Applied Soft Computing, 2026, 186, 114093. https://doi.org/10.1016/j.asoc.2025.114093. (中科院SCI一区,TOP期刊,影响因子:7.8,JCR分区:Q1)
[3]Du Pei, Zhang Xuankai (2021级大数据管理与应用专业本科生), Du Juntao*, Wang Jianzhou. Multivariate natural gas price forecasting model with feature selection, machine learning and chernobyl disaster optimizer. Petroleum Science, 2025, 22, 4823-4837. https://doi.org/10.1016/j.petsci.2025.09.034. (国产期刊,中科院SCI一区,TOP期刊,影响因子:6.4,JCR分区:Q1)
[4]Du Pei, Gui Fangrui (2021级大数据管理与应用专业本科生), Shan Lijie, Xing Qianyi*, Wang Jianzhou. Probabilistic forecasting of non-ferrous metal prices based on outlier treatment algorithms, quantile regression based deep learning and two-phase multi-objective optimization. Engineering Applications of Artificial Intelligence, 2025, 161, 112277. https://doi.org/10.1016/j.engappai.2025.112277. (中科院SCI一区,TOP期刊,影响因子:8.0,JCR分区:Q1)
[5]Zhou Mingyu (2022级大数据管理与应用专业本科生), Du Pei*. Multivariate events enhanced pre-trained large language model for carbon price forecasting. Energy, 2025, 336, 138377. https://doi.org/10.1016/j.energy.2025.138377. (中科院SCI一区,TOP期刊,影响因子:9.4,JCR分区:Q1)
[6]Du Pei, Ye Yuxin (2023级大数据管理与应用专业本科生), Wu Han*, Wang Jianzhou. Study on deterministic and interval forecasting of electricity load based on multi-objective whale optimization algorithm and transformer model. Expert Systems with Applications, 2025, 268, 126361. https://doi.org/10.1016/j.eswa.2024.126361. (中科院SCI一区,TOP期刊,影响因子:7.5,JCR分区:Q1, ESI 高被引论文,Web of Science 引用次数:40)
[7]Ji Mingyang, Du Juntao, Du Pei*, Niu Tong, Wang Jianzhou. A novel probabilistic carbon price prediction model: Integrating the transformer framework with mixed-frequency modeling at different quartiles. Applied Energy, 2025, 391, 125951. https://doi.org/10.1016/j.apenergy.2025.125951. (中科院SCI一区,TOP期刊,影响因子:11,JCR分区:Q1,Web of Science引用次数:18)
[8]Du Pei, Yang Dongchuan*, Li Yanzhao, Wang Jianzhou. An innovative interpretable combined learning model for wind speed forecasting. Applied Energy, 2024, 358, 122553. https://doi.org/10.1016/j.apenergy.2023.122553. (中科院SCI一区,TOP期刊,影响因子:11,JCR分区:Q1,ESI 高被引论文,Web of Science引用次数:40)
[9]Wu Han, Du Pei*. Dual-stream transformer-attention fusion network for short-term carbon price prediction. Energy, 2024, 311, 133374. https://doi.org/10.1016/j.energy.2024.133374 (中科院SCI一区,TOP期刊, 影响因子:9.4,JCR分区:Q1, Web of Science引用次数:19)
[10]Zhang Xuankai (2021级大数据管理与应用专业本科生), Zong Ying (2021级大数据管理与应用专业本科生), Du Pei*, Wang Shubin, Wang Jianzhou. Framework for multivariate carbon price forecasting: A novel hybrid model. Journal of Environmental Management, 2024, 369, 122275. https://doi.org/10.1016/j.jenvman.2024.122275 (中科院SCI二区,TOP期刊,ABS3, 影响因子:8.4,JCR分区:Q1, Web of Science引用次数:35)
[11]Ye Liang (2020级工业工程专业本科生), Du Pei*, Wang Shubin. Industrial carbon emission forecasting considering externa factors based on linear and machine learning models. Journal of Cleaner Production, 2024, 434, 140010. https://doi.org/10.1016/j.jclepro.2023.140010 (中科院SCI一区,TOP期刊,影响因子:10,JCR分区:Q1,Web of Science引用次数:60)
[12]Wu Han, Du Pei*. Dual-stream transformer-attention fusion network for short-term carbon price prediction. Energy, 2024, 311, 133374. https://doi.org/10.1016/j.energy.2024.133374. (中科院SCI一区,TOP期刊,影响因子:9.4,JCR分区:Q1,Web of Science引用次数:20)
[13]Yan Xu, Tong Lin, Pei Du*, Jianzhou Wang. An innovative interval grey model for construction waste forecasting. Applied Mathematical Modelling, 2024, 126, 22-51. https://doi.org/10.1016/j.apm.2023.10.013. (中科院SCI二区,TOP期刊,影响因子:5.0,JCR分区:Q1,Web of Science引用次数:23)
[14]Du Pei, Guo Ju’e, Sun Shaolong, Wang Shouyang, Wu Jing*. A novel two-stage seasonal grey model for residential electricity consumption forecasting. Energy, 2022, 258, 124664. https://doi.org/10.1016/j.energy.2022.124664. (中科院SCI一区,TOP期刊,影响因子:9.0,JCR分区:Q1,Web of Science引用次数:46)
[15]Du Pei, Wang Jianzhou*, Niu Tong, Yang Wendong. PM2.5 prediction and related health effects and economic cost assessments in 2020 and 2021: Case studies in Jing-Jin-Ji, China. Knowledge-Based Systems, 2021, 233, 107487. https://doi.org/10.1016/j.knosys.2021.107487. (中科院SCI一区,TOP期刊,影响因子:8.1,JCR分区:Q1,Web of Science引用次数:12)

课题:
2025年江苏省自然科学基金青年项目,在研,20万,主持
教育部人文社科基金青年项目,在研,8万,主持
2024年中央高校基本科研业务费专项资金资助项目,在研,4万,主持
2022陕西省软科学一般项目,结题,3万,主持
2022年西安交通大学基本科研业务费(人文社科类)专项科研项目(竞争性),结题,5万,主持
2021年陕西省生态环境保护领域重大课题研究项目,2021HZ0954,结题,3万,参与
国家社会科学基金重大项目,17ZDA093,结题,60万,参与

主讲课程:本科生课程:《时间序列分析》《统计学》《应用统计学》《计量经济学》《人工智能导论》

  • 教师简介
  • 科学研究
  • 主讲课程
  • 杜沛,博士,讲师,硕士生导师。先后主持省部级(教育部人文社科基金项目、江苏省自然科学基金项目)科研项目4项。目前,以第一/通讯作者发表SSCI/SCI检索论文30余篇,Web of Science 检索学术论文总被引频次达3300余次,H指数30。其中,3 篇学术论文被美国 ISI Web of science基本科学指标 ESI 列为领域学科的热点论文,进入全球 Top 1‰,7 篇学术论文被美国ISI Web of science 基本科学指标 ESI 列为领域学科的高被引论文,进入全球 Top 1%,14 篇论文被引频次超过100,连续两年入选美国斯坦福大学(Stanford University)发布的“World’s Top 2% Scientists榜单—“年度科学影响力榜单”(2022-2023)”。

    以第一/通讯作者的研究成果主要发表在Computers & Industrial Engineering、Journal of Environmental Management、Applied Soft Computing、Knowledge-Based Systems、Engineering Applications of Artificial Intelligence、Applied Mathematical Modelling、Applied Energy、Renewable Energy、Energy Conversion and Management、Energy、Expert Systems with Applications、Journal of Forecasting、Environmental Pollution、Process Safety and Environmental Protection、Journal of Cleaner Production、Petroleum Science和《环境科学》等国内外知名学术期刊,担任Data Science and Management期刊青年编委,担任IEEE Transactions on Neural Networks and Learning Systems、Energy和《系统工程理论与实践》等期刊匿名审稿人。曾任systems、Energies和Frontiers in Environmental Science学术期刊特刊执行编辑。

    课题组多位本科生毕业后赴香港中文大学、爱丁堡大学、中国科学院大学、上海财经大学、国防科技大学、南开大学(2)、同济大学、大连理工大学(2)、西北工业大学等高校深造。截止目前,指导本科生、研究生发表SSCI/SCI检索论文20余篇,论文主要发表在Computers & Industrial Engineering、Journal of Environmental Management、Applied Energy、Energy、Applied Mathematical Modelling、Expert Systems with Applications、Journal of Cleaner Production、Engineering Applications of Artificial Intelligence等SSCI/SCI国际知名学术期刊。曾作为指导老师指导本科生队伍获得美国大学生数学建模竞赛一等奖、二等奖多项。

    欢迎热爱科研、生活,肯吃苦耐劳的本科生加入课题组,欢迎有志于从事大数据、机器学习等问题研究的同学报考研究生!Email: renshengdp@126.com/ dupeidp@jiangnan.edu.cn


    工作经历:

    2023.02-至今,江南大学商学院,讲师

    2021.07-2022.12,西安交通大学管理学院,助理教授


    获奖情况:

    [1] 江南大学本科优秀毕业设计(论文)1篇(2026)

    [2] 江南大学本科优秀毕业设计(论文)1篇(2025)

    [3] 全国大学生统计建模大赛江苏省赛区一等奖1项(2025)

    [4] 江南大学本科优秀毕业设计(论文)指导教师(2025)

    [5] 江南大学本科优秀毕业设计(论文)1篇(2024)

    [6] 全国大学生能源经济学术创意大赛江苏省赛区一等奖1项(2024)

    [7] 全国大学生统计建模大赛江苏省赛区二等奖1项(2024)


  • 主要研究方向:大数据挖掘分析、统计建模、机器学习、智能算法、预测理论与方法的研究及其在能源、环境、经济与食品安全管理等领域的应用。

    部分研究成果(*为通讯作者):
    [1]Du Pei, Ji Mingyang, Du Juntao*, Wang Jianzhou. A novel mixed-frequency deep learning forecasting model for natural resource prices: A case study of copper futures price. Geoscience Frontiers, 2026, 17, 102159. https://doi.org/10.1016/j.gsf.2025.102159. (国产期刊,中科院SCI一区,TOP期刊,影响因子:12.7,JCR分区:Q1)
    [2]Wu Han, Gao Xiaozhi, Li Zhong, Heng Jiani, Du Pei*. Audiovisual-cognition-inspired network with explainability for oil price forecasting. Applied Soft Computing, 2026, 186, 114093. https://doi.org/10.1016/j.asoc.2025.114093. (中科院SCI一区,TOP期刊,影响因子:7.8,JCR分区:Q1)
    [3]Du Pei, Zhang Xuankai (2021级大数据管理与应用专业本科生), Du Juntao*, Wang Jianzhou. Multivariate natural gas price forecasting model with feature selection, machine learning and chernobyl disaster optimizer. Petroleum Science, 2025, 22, 4823-4837. https://doi.org/10.1016/j.petsci.2025.09.034. (国产期刊,中科院SCI一区,TOP期刊,影响因子:6.4,JCR分区:Q1)
    [4]Du Pei, Gui Fangrui (2021级大数据管理与应用专业本科生), Shan Lijie, Xing Qianyi*, Wang Jianzhou. Probabilistic forecasting of non-ferrous metal prices based on outlier treatment algorithms, quantile regression based deep learning and two-phase multi-objective optimization. Engineering Applications of Artificial Intelligence, 2025, 161, 112277. https://doi.org/10.1016/j.engappai.2025.112277. (中科院SCI一区,TOP期刊,影响因子:8.0,JCR分区:Q1)
    [5]Zhou Mingyu (2022级大数据管理与应用专业本科生), Du Pei*. Multivariate events enhanced pre-trained large language model for carbon price forecasting. Energy, 2025, 336, 138377. https://doi.org/10.1016/j.energy.2025.138377. (中科院SCI一区,TOP期刊,影响因子:9.4,JCR分区:Q1)
    [6]Du Pei, Ye Yuxin (2023级大数据管理与应用专业本科生), Wu Han*, Wang Jianzhou. Study on deterministic and interval forecasting of electricity load based on multi-objective whale optimization algorithm and transformer model. Expert Systems with Applications, 2025, 268, 126361. https://doi.org/10.1016/j.eswa.2024.126361. (中科院SCI一区,TOP期刊,影响因子:7.5,JCR分区:Q1, ESI 高被引论文,Web of Science 引用次数:40)
    [7]Ji Mingyang, Du Juntao, Du Pei*, Niu Tong, Wang Jianzhou. A novel probabilistic carbon price prediction model: Integrating the transformer framework with mixed-frequency modeling at different quartiles. Applied Energy, 2025, 391, 125951. https://doi.org/10.1016/j.apenergy.2025.125951. (中科院SCI一区,TOP期刊,影响因子:11,JCR分区:Q1,Web of Science引用次数:18)
    [8]Du Pei, Yang Dongchuan*, Li Yanzhao, Wang Jianzhou. An innovative interpretable combined learning model for wind speed forecasting. Applied Energy, 2024, 358, 122553. https://doi.org/10.1016/j.apenergy.2023.122553. (中科院SCI一区,TOP期刊,影响因子:11,JCR分区:Q1,ESI 高被引论文,Web of Science引用次数:40)
    [9]Wu Han, Du Pei*. Dual-stream transformer-attention fusion network for short-term carbon price prediction. Energy, 2024, 311, 133374. https://doi.org/10.1016/j.energy.2024.133374 (中科院SCI一区,TOP期刊, 影响因子:9.4,JCR分区:Q1, Web of Science引用次数:19)
    [10]Zhang Xuankai (2021级大数据管理与应用专业本科生), Zong Ying (2021级大数据管理与应用专业本科生), Du Pei*, Wang Shubin, Wang Jianzhou. Framework for multivariate carbon price forecasting: A novel hybrid model. Journal of Environmental Management, 2024, 369, 122275. https://doi.org/10.1016/j.jenvman.2024.122275 (中科院SCI二区,TOP期刊,ABS3, 影响因子:8.4,JCR分区:Q1, Web of Science引用次数:35)
    [11]Ye Liang (2020级工业工程专业本科生), Du Pei*, Wang Shubin. Industrial carbon emission forecasting considering externa factors based on linear and machine learning models. Journal of Cleaner Production, 2024, 434, 140010. https://doi.org/10.1016/j.jclepro.2023.140010 (中科院SCI一区,TOP期刊,影响因子:10,JCR分区:Q1,Web of Science引用次数:60)
    [12]Wu Han, Du Pei*. Dual-stream transformer-attention fusion network for short-term carbon price prediction. Energy, 2024, 311, 133374. https://doi.org/10.1016/j.energy.2024.133374. (中科院SCI一区,TOP期刊,影响因子:9.4,JCR分区:Q1,Web of Science引用次数:20)
    [13]Yan Xu, Tong Lin, Pei Du*, Jianzhou Wang. An innovative interval grey model for construction waste forecasting. Applied Mathematical Modelling, 2024, 126, 22-51. https://doi.org/10.1016/j.apm.2023.10.013. (中科院SCI二区,TOP期刊,影响因子:5.0,JCR分区:Q1,Web of Science引用次数:23)
    [14]Du Pei, Guo Ju’e, Sun Shaolong, Wang Shouyang, Wu Jing*. A novel two-stage seasonal grey model for residential electricity consumption forecasting. Energy, 2022, 258, 124664. https://doi.org/10.1016/j.energy.2022.124664. (中科院SCI一区,TOP期刊,影响因子:9.0,JCR分区:Q1,Web of Science引用次数:46)
    [15]Du Pei, Wang Jianzhou*, Niu Tong, Yang Wendong. PM2.5 prediction and related health effects and economic cost assessments in 2020 and 2021: Case studies in Jing-Jin-Ji, China. Knowledge-Based Systems, 2021, 233, 107487. https://doi.org/10.1016/j.knosys.2021.107487. (中科院SCI一区,TOP期刊,影响因子:8.1,JCR分区:Q1,Web of Science引用次数:12)

    课题:
    2025年江苏省自然科学基金青年项目,在研,20万,主持
    教育部人文社科基金青年项目,在研,8万,主持
    2024年中央高校基本科研业务费专项资金资助项目,在研,4万,主持
    2022陕西省软科学一般项目,结题,3万,主持
    2022年西安交通大学基本科研业务费(人文社科类)专项科研项目(竞争性),结题,5万,主持
    2021年陕西省生态环境保护领域重大课题研究项目,2021HZ0954,结题,3万,参与
    国家社会科学基金重大项目,17ZDA093,结题,60万,参与
  • 本科生课程:《时间序列分析》《统计学》《应用统计学》《计量经济学》《人工智能导论》