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付学谦 信息与电气工程学院

专业技术职务: 副教授

主要研究方向:

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行政职务:

学位: 博士

电子邮箱: fuxueqian@cau.edu.cn

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个人资料

  • 部门: 信息与电气工程学院
  • 性别:
  • 民族: 汉族
  • 专业技术职务: 副教授
  • 毕业院校:
  • 学位: 博士
  • 联系电话:
  • 电子邮箱: fuxueqian@cau.edu.cn
  • 通讯地址:
  • 邮编:

专家类别

  • 学术学位导师类型: 博导兼硕导
  • 专业学位研究生导师类型: 博导兼硕导
  • 从事学科1: 计算机科学与技术
  • 从事学科2: 水产
  • 从事专业1: 计算机软件与理论
  • 从事专业2: 计算机软件与理论
  • 研究方向1: 统计机器学习
  • 研究方向2:
  • 从事专业学位领域名称: 计算机技术

个人简介

IEEE Senior Member

IEEE Young Professionals

IEEE Smart Village-China Working Group 副主席

Series Editor for East Asia , The IET Regional Book Series in Sustainable Agricultural Engineering and Technology

IET Member

The Asia Computational Intelligence Society (ACIS)  Member   https://www.asiacis.org/#comp-loo48mxm6

农业农村部智慧养殖技术重点实验室副主任

2017年清华大学博士后出站评定为“优秀”

2017年中农大“优秀人才”引进 

2020年入选人才培育发展支持计划“青年新星B”

2023年入选“全球前2%顶尖科学家榜单” (年度影响力榜单)

2024年入选“全球前2%顶尖科学家榜单” (职业生涯影响力榜单年度影响力榜单)

2025年入选“全球前2%顶尖科学家榜单” (职业生涯影响力榜单年度影响力榜单)


Journal Editor Role:

[1]·Deputy EIC,Information Processing in Agriculture (INPA)

[2]·Guest Editor, IET Power Electronics

[3]·Associate Editor,  IET Renewable Power Generation (IET RPG)

[4]·Associate Editor, Protection and Control of Modern Power Systems (PCMP)

[5]·Associate Editor, Artificial Intelligence and Applications (AIA)

[6]·Associate Editor, Journal of Data Science and Intelligent Systems (JDSIS)

[7]·Youth editor,Clean Energy Science and Technology(CEST)

[8]·Youth Editorial Board Member,Renewable and Sustainable Energy

[9]·Lead Editor, International Transactions on Electrical Energy System

[10]·Guest Editor,Applied Sciences

[11] Special Issue Editor, AgriEngineering

[12] Editorial Board Member, Advances in Modern Agriculture

[13] Editorial Board, Intelligent Control and System Engineering (ICSE)

[14]Editorial Board of Scientific Reports, 《自然》(Nature)的子刊

[15]Editorial Board of Urban Agriculture and Circular Food Systems

[16]editorial board member of “International Journal for Development of Science and Technology”

[17] Editorial Board of PowerLine Journal


Conference Role:

[1]Chair, 2025 IEEE International Symposium on the Application of Artificial Intelligence in Electrical Engineering (AAIEE), https://www.aaiee.net/

[2]Publicity Co-chair, The 14th International Conference on Power and Energy Systems (ICPES 2024),http://www.icpes.org/ 

[3]Organizing Committee Chair, The Third International Workshop on Automation, Control and Communication Engineering (IWACCE 2024), [2] http://www.iwacce.org/Committee.aspx

[4] Program Chair, 2024 IEEE 2nd International Conference on Power Science and Technology, https://www.icpst.org/organizing.html

[5] Technical Program Chair, 2023 10th International conference on Energy Engineering and Environmental Engineering (ICEEEE2023), https://www.iceeee.org/Com.html

[6] Technical Program Committee Chair,The 2025 International Conference on Smart Energy and Smart Grid (SESG 2025), https://www.icsesg.org/Committee


[7] Invited speaker, The 9th International Conference on Power and Renewable Energy, ICPRE, 2024https://www.icpre.org/invited.html

[8] Keynote speaker, 2024 the 11th International Conference on Energy Engineering and Environmental Engineering (ICEEEE 2024), https://iceeee.org/Spe.html

[9] Invited speaker, International Conference on Smart Grids and Power Systems (ICSGPS 2024), http://www.icsgps.org/

[10] Invited speaker, 2023 the 10th International conference on Energy Engineering and Environmental Engineering (ICEEEE2023), https://www.iceeee.org/Spe.html

[11] Invited speaker, 2023 the 13th International Conference on Power and Energy Systems (ICPES 2023), http://icpes.org/

[12 Invited speaker, ICPE 2022-The 3rd International Conference on Power Engineering, http://www.icpe.net/is.html


[13] Session Chair, 2023 the 13th International Conference on Power and Energy Systems (ICPES 2023), http://icpes.org/

[14] Session Chair (Super special session organizer), 2023 IEEE Conference on Energy Internet and Energy System Integration (EI 2 2023), https://attend.ieee.org/ei2-2023/special-sessions/https://attend.ieee.org/ei2-2023/special-sessions/ 

[15] Session Chair, ICPE 2022-The 3rd International Conference on Power Engineering, http://www.icpe.net/is.html

[16] Workshop Chair, International Conference on Smart Electrical Grid and Renewable Energy, (SEGRE 2023), http://www.icsegre.org/ws-3/

[17] Special Session Organizer, ICPET 2023-The 5th International Conference on Power and Energy Technology, http://www.icpet.org/session9.html

[18] Session Chair, 2020 The 2nd IEEE Asia Energy and Electrical Engineering Symposium (AEEES 2020), http://aeees.org/2020.html

[19] Session Chair, 2022 The 4th Asia Energy and Electrical Engineering Symposium (AEEES 2022), http://aeees.org/2022.html

[20] Session Chair, 2023 The 5th Asia Energy and Electrical Engineering Symposium (AEEES 2023), http://aeees.org/session9.html

[21] Session Chair, 2024 The 6th Asia Energy and Electrical Engineering Symposium (AEEES 2024), https://aeees.org/index.html

[22] Session Chair, The 6th  International Conference on Power and Energy Technology. https://www.icpet.org/


  

[23] Committee Member, 2022 The 2nd International Conference on Intelligent Power and Systems (ICIPS 2022), http://www.icips.net/committeeSpeaker

[24] Committee Member, 2022 The 2nd International Conference on Intelligent Power and Systems (CFEEE 2022), https://www.cfeee.org/com.html

[25] Committee Member, 2023 The 5th Asia Energy and Electrical Engineering Symposium (AEEES 2023), http://aeees.org/committee.html

[26] Committee Member, 2024 International Conference on Electronics, Information and Industrial Engineering (EIIE2024), https://www.eiieconf.com/committee

[27] Committee Member, ICSGPS 2023 (International Conference on Smart Grids and Power Systems), http://www.icsgps.org/committee/

[28] Committee Member, 2023 2nd International Conference on Frontiers of Energy and Environment Engineering (CFEEE 2023), https://www.cfeee.org/technical_committee

[29] Committee Member, The Third International Workshop on Automation, Control and Communication Engineering (IWACCE 2024), http://www.iwacce.org/New0908/Committee.aspx

[30] Steering Committee, The 2nd International Conference on Smart Electrical Grid and Renewable Energy, http://www.icsegre.org/chairs-and-committees/

[31] Technical Committee Member,The 4th International Conference on Smart City and Green Energy (ICSCGE 2024) https://icscge.org/com.html



教学科研概况


Book

[B1]X. Fu; Xiurong Zhang. The Agricultural Energy Internet: Theories, Methods, and Future Prospects. Elsevier Book Publishing.  

ISBN: 9780443275623. https://shop.elsevier.com/books/the-agricultural-energy-internet/fu/978-0-443-27562-3



[B2]X. Fu. Statistical Relational Artificial Intelligence in Photovoltaic Power Uncertainty Analysis. Elsevier Book Publishing. 

ISBN: 9780443340420. https://shop.elsevier.com/books/statistical-relational-artificial-intelligence-in-photovoltaic-power-uncertainty-analysis/fu/978-0-443-34041-3

  


[B3]X. Fu,Qianqian Jia, Xianping Wu,Chapter 2 - Fast probability power flow calculation of distribution networks considering dynamic correlation and high-dimensional uncertainty, Renewable Energy Microgeneration Systems, Academic Press,2021, Pages 17-48,ISBN 9780128217269, https://doi.org/10.1016/B978-0-12-821726-9.00002-3.

[B4]X. Fu,Chapter 2 -Chapter 6 Statistical Machine Learning Model for Production Simulation of Power Systems with a High Proportion of Photovoltaics, Artificial Intelligence Empowered Smart Energy Systems, 2025, ISBN: 978-1-394-25361-6,John Wiley & Sons.

IEEE Trans paper 

[1]X. FuF. Chang, H. SunP. Zhang and Y. Zhang, Knowledge-Integrated GAN Model for Stochastic Time-Series Simulation of Year-Round Weather for Photovoltaic Integration Analysis, in IEEE Transactions on Power Systems. doi: 10.1109/TPWRS.2025.3559455.

[2]X. Fu, N. Lu, H. Sun and Y. Zhang, A Novel Clustering Method for Extracting Representative Photovoltaic Scenarios Considering Power, Energy, and Variability, in IEEE Transactions on Power Systems. doi: 10.1109/TPWRS.2025.3535727.

[3]X. Fu, C. Zhang, X. Zhang and H. Sun, A Novel GAN Architecture Reconstructed Using Bi-LSTM and Style Transfer for PV Temporal Dynamics Simulation, in IEEE Transactions on Sustainable Energy, vol. 15, no. 4, pp. 2826-2829, Oct. 2024, doi: 10.1109/TSTE.2024.3429781.

[4]X. Fu, N. Lu, H. Sun and Y. Zhang, Extraction of Representative Scenarios for Photovoltaic Power With Shared Weight Graph Clustering, in IEEE Transactions on Smart Grid, vol. 15, no. 6, pp. 6158-6170, Nov. 2024, doi: 10.1109/TSG.2024.3411306..

[5]X. Fu, C. Zhang, Y. Xu, Y. Zhang and H. Sun, Statistical Machine Learning for Power Flow Analysis Considering the Influence of Weather Factors on Photovoltaic Power Generation, in IEEE Transactions on Neural Networks and Learning Systemsvol. 36, no. 3, pp. 5348-5362, March 2025, doi: 10.1109/TNNLS.2024.3382763 (Highly Cited Paper)

[6]X. Fu, J. Bai, H. Sun and Y. Zhang, Optimizing Agro-Energy-Environment Synergy in Agricultural Microgrids Through Carbon Accounting, in IEEE Transactions on Smart Grid, vol. 15, no. 5, pp. 4819-4834, Sept. 2024, doi: 10.1109/TSG.2024.3397990..

[7]X. Fu, Z. Wei, H. Sun and Y. Zhang, Agri-Energy-Environment Synergy-Based Distributed Energy Planning in Rural Areas, in IEEE Transactions on Smart Grid, vol. 15, no. 4, pp. 3722-3738, July 2024, doi: 10.1109/TSG.2024.3364182.  (Highly Cited Paper)

[8]X. Fu and Y. Zhou, Collaborative Optimization of PV Greenhouses and Clean Energy Systems in Rural Areas, in IEEE Transactions on Sustainable Energy, vol. 14, no. 1, pp. 642-656, Jan. 2023, doi: 10.1109/TSTE.2022.3223684. (Highly Cited Paper, Hot paper)

[9]X. Fu, Q. Guo and H. Sun, Statistical Machine Learning Model for Stochastic Optimal Planning of Distribution Networks Considering a Dynamic Correlation and Dimension Reduction, in IEEE Transactions on Smart Grid, vol. 11, no. 4, pp. 2904-2917, July 2020, doi: 10.1109/TSG.2020.2974021.

[10]X. FuZ. Wang, Y. Guo, W. Li and Z. Tang, Intra-provincial Medium- and Long-term Bidding Model Incorporating Inter-provincial Markets and Available Transmission Capacity, in IEEE Transactions on Energy Markets, Policy and Regulationvol. 3, no. 1, pp. 109-120, March 2025, doi: 10.1109/TEMPR.2024.3467118.

[11]X. Fu and H. Long, Virtual Power Plant Scheduling in Agricultural Microgrids through the Control of Distributed Energy Resources and Greenhouse Loads, in IEEE Transactions on AgriFood Electronics.doi:10.1109/TAFE.2025.3591910.

[12]X. FuF. Chang, Z. Li, H. Sun,P. Zhang, D. Yang .Redesigning the Decoder and Loss Function of Diffusion Transformer for PV Temporal Simulation, in IEEE Transactions on Smart Grid, doi:10.1109/TSG.2025.3627923.

[13] C. Zhang, X. Fu*, et al. Unified Fourier Graph-Based Spatiotemporal Learning and Corrected NWP for Multi-Site Ultra-short Term Photovoltaic Power Forecasting. in IEEE Transactions on Smart Grid,doi:10.1109/TSG.2025.3628129.

[14]  Huaizhi Wang; Jiaqi Ruan; Guibin Wang; Bin Zhou; Yitao Liu; Xueqian Fu, Jianchun Peng, Deep Learning-Based Interval State Estimation of AC Smart Grids Against Sparse Cyber Attacks, IEEE Transactions Industrial Informatics, vol. 14, no. 11, pp. 4766-4778, Nov. 2018.

[15]  Wanhao LI, Yunyang Zou, Hongming Yang, Xueqian Fu, Sheng Xiang, Zhengmao Li. Two-stage Stochastic Energy Scheduling for Multi-Energy Rural Microgrids with Irrigation Systems and Biomass Fermentation. IEEE Transactions on Smart Grid,, doi: 10.1109/TSG.2024.3483444. (Highly Cited Paper, Hot paper)


  

Applied Energy

[1]Xueqian Fu; Haoyong Chen; Runqing Cai; et al, Optimal allocation and adaptive VAR control of PV-DG in distribution networks, Applied Energy, 2015, 137: 173 - 182.

[2]Xueqian Fu; Hongbin Sun; Qinglai Guo; et al, Probabilistic power flow analysis considering the dependence between power and heat, Applied Energy, 2017, 191: 582 - 592.

[3]Xueqian Fu; Gengyin Li; Xiurong Zhang; et al, Failure probability estimation of the gas supply using a data-driven model in an integrated energy system,  Applied Energy, 2018, 232: 704 - 714.

[4]Xueqian Fu; Xiurong Zhang, Failure probability estimation of gas supply using the central moment method in an integrated energy system, Applied Energy, 2018, 219: 1 - 10.

[5]Chunyu Zhang, Xueqian Fu; etal, Multi-Scale Patch and Frequency-Domain Gated Learning for High-Resolution Day-Ahead Photovoltaic Forecasting, Applied Energy, Volume 402, Part B,2026, 126973.


PCMP

[1]Xueqian Fu; Xianping Wu, Chunyu Zhang. et al. Planning of distributed renewable energy systems under uncertainty based on statistical machine learning. Protection and Control of Modern Power Systems, 2022, 7, 41.

[2]Xueqian Fu; Statistical machine learning model for capacitor planning considering uncertainties in photovoltaic power, Protection and Control of Modern Power Systems, 2022,V(1):51 - 63.  (ESI高被引论文)


Renewable Energy

[1]Xueqian Fu; Xiurong Zhang, Estimation of building energy consumption using weather information derived from photovoltaic power plants, Renewable Energy, 2019, 130: 130 - 138.

[2]Chunyu Zhang, Xueqian Fu, Dawei Qiu, Hamed Badihi, Haitong Gu,Robust imputation of missing photovoltaic power data using a weather- and context-aware hybrid transformer framework,

Renewable Energy,Volume 256, Part H,2026,124576.


Energy

[1]Xueqian Fu; Hongbin Sun; Qinglai Guo; et al, Uncertainty analysis of an integrated energy system based on information theory, Energy, 2017, 122: 649 - 662.

[2]Xueqian Fu; Qinglai Guo; Hongbin Sun; et al, Typical scenario set generation algorithm for an integrated energy system based on the Wasserstein distance metric, Energy, 2017, 135: 153 - 170.

[3]Xueqian Fu; Qinglai Guo; Hongbin Sun; et al, Estimation of the failure probability of an integrated energy system based on the first order reliability method, Energy, 2017, 134: 1068 - 1078.

[4]Xueqian Fu; Xiurong Zhang; Zheng Qiao; Gengyin Li, Estimating the failure probability in an integrated energy system considering correlations among failure patterns, Energy, 2019, 178: 656 - 666.

[5]Xueqian Fu; Gengyin Li; Huaizhi Wang, Use of a second-order reliability method to estimate the failure probability of an integrated energy system, Energy, 2018, 161: 425 - 434.

  

[6]  Huaizhi Wang, Anjian Meng, Yitao Liu, Xueqian Fu, Guangzhong Cao,Unscented Kalman Filter based interval state estimation of cyber physical energy system for detection of dynamic attack, Energy, Volume 188, 1 December 2019, 116036.

[7]  Huaizhi Wang, Jiaqi Ruan, Zhengwei Ma, Bin Zhou, Xueqian Fu, Guangzhong Cao, Deep learning aided interval state prediction for improving cyber security in energy internet, Energy, Volume 174, 1 May 2019, Pages 1292-1304.



CSEE JPES

[1]Xueqian Fu; Dechang Yang; Qinglai Guo; Hongbin Sun, Security analysis of a park-level agricultural energy network considering agrometeorology and energy meteorology, CSEE Journal of Power and Energy Systems, 2020,6(3): 743-748.

[2]Xueqian Fu; Yazhong Zhou; Zhonghui Wei; Yang Wang, Optimal Operation Strategy for a Rural Microgrid Considering Greenhouse Load Control, CSEE Journal of Power and Energy Systems,  vol. 11, no. 1, pp. 269-279, January 2025.  (ESI高被引论文)

[3]Xueqian Fu; Zhan Wang; Yingying Zheng; Yang Wang, A clearing model for medium and long-term electricity transactions considering inter-provincial market constraints in a low-carbon context, CSEE Journal of Power and Energy Systems, doi: 10.17775/CSEEJPES.2023.00360.


  

Expert Systems With Applications

[1]  Feifei Yang, Xueqian Fu*, et al. Decomposition strategy and attention-based recurrent neural network for multi-step ultra-short-term agricultural power load forecasting, Expert Systems With Applications, Volume 238, Part F, 15 March 2024,122226.



Engineering Applications of Artificial Intelligence

[1]  Qiaoyu Ma Xueqian Fu*, et al., Adaptive Masked Network for Ultra-Short-Term Photovoltaic Forecast. Engineering Applications of Artificial Intelligence, Volume 139, Part B, January 2025, 109555.

[2]    Feifei Yang Xueqian Fu*, et al., A novel clustering-ensemble learning model for day-ahead photovoltaic power forecasting,Volume 161, Part C, 12 December 2025, 112281.


IJEPES

[1]  Shiwei Xia, Ye Tian, Zizheng Wang, Xueqian Fu*, Gengyin Li , Feng Zhang, and Mohammad Shahidehpour, An energy scheduling method for clustering islands with shared power exchanging vessels, International Journal of Electrical Power and Energy Systems, Vol. 152, Oct. 2023, Art. no.109200.


Energy for Sustainable Development

[1]Xueqian Fu; Xuerui Li; Ziurui Min; Dongqi Zou, Effective Mechanism for Trading Generation Rights in the Context of Carbon Emission Rights, Energy for Sustainable Development, Volume 77, December 2023, 101351.


IET paper

[1]  Xueqian Fu; Haoyong Chen; Runqing Cai; Peizheng Xuan, Improved LSF method for loss estimation and its application in DG allocation, IET Generation, Transmission and Distribution, 2016, 10(10): 2512 - 2519.

[2]  Xueqian Fu; Qiang Fu; Wanwei Tang, Grid connection technique based on μ theory for a two-stage PV structure, IET Power Electronics, 2019, 12(6): 1545 - 1553.

[3]  Xueqian Fu; Chen Guo; Kaitao Yang, Market-clearing framework of a resilient microgrid with renewable energy considering emission reduction targets, IET Renewable Power Generation, doi:10.1049/rpg2.12786.

[4]  Xueqian Fu; Jing Zhang, Review and Outlook on Reinforcement Learning: Its Application in Agricultural Energy Internet, IET Renewable Power Generation, doi:10.1049/rpg2.13019.

  

[5]  Lingling Han, Xueqian Fu*, et al.,Stochastic Weather Simulation Based on Gate Recurrent Unit and Generative Adversarial Networks.IET Power Electronics, doi:10.1049/pel2.12750.

[6]  Xiurong Zhang; Shaoli Kang; Xueqian Fu*, Performance analysis of cooperative PDMA with AF relaying over Rayleigh fading channels, IET Communications, 2020,14(13): 2166~2175.

[7]  Xiurong Zhang, Xueqian Fu*, et al., A Review on Basic Theory and Technology of Agricultural Energy Internet. IET Renewable Power Generation, doi10.1049/rpg2.12808. (WILEY  Top Cited Article)

[8]  Xiurong Zhang; Daoliang Li*; Xueqian Fu, A Novel Wasserstein Generative Adversarial Network for Stochastic Wind Power Output Scenario Generation, IET Renewable Power Generation, doi:10.1049/rpg2.12932.

[9]  Chunyu Zhang,Xueqian Fu, Zhengshuo Li; Bi-LSTM and Style-based Generative Adversarial Network for Stochastic Simulation of Photovoltaic Power Generation Based on Weather, DOI:10.1049/pel2.70077









社会职务

活动动态

研究领域

开授课程

本科生课程:近十年课程数据
  • 1、电气工程技术新进展,2025-2026,第二学期,星期一,东校区
  • 2、统计机器学习,2025-2026,第二学期,星期五,东校区
  • 3、统计机器学习,2025-2026,第二学期,星期三星期五,东校区
  • 4、电气工程技术新进展,2024-2025,第二学期,星期一,东校区
  • 5、统计机器学习,2024-2025,第二学期,星期五,东校区
  • 6、统计机器学习,2024-2025,第二学期,星期三星期五,东校区
  • 7、电气工程技术新进展,2023-2024,第二学期,星期一,东校区
  • 8、统计机器学习,2023-2024,第二学期,星期二,东校区
  • 9、统计机器学习,2023-2024,第二学期,星期五,东校区
  • 10、统计机器学习,2023-2024,第二学期,星期二,东校区
  • 11、电气工程技术新进展,2022-2023,第二学期,星期一,东校区
  • 12、统计机器学习,2022-2023,第二学期,星期二,东校区
  • 13、统计机器学习,2022-2023,第二学期,星期五,东校区
  • 14、统计机器学习,2022-2023,第二学期,星期二,东校区
  • 15、电气工程技术新进展,2021-2022,第二学期,星期一,东校区
  • 16、统计机器学习,2021-2022,第二学期,星期二,东校区
  • 17、统计机器学习,2021-2022,第二学期,星期五,东校区
  • 18、统计机器学习,2021-2022,第二学期,星期二,东校区
  • 19、电气工程技术新进展,2020-2021,第二学期,星期二,东校区
  • 20、智能电网技术,2020-2021,第一学期,星期二,东校区
  • 21、电气工程技术新进展,2019-2020,第二学期,星期二,东校区

研究生课程:近十年课程数据
  • 1、统计机器学习:内容、方法与应用,2023-2024,第二学期,星期三
  • 2、统计机器学习:内容、方法与应用,2022-2023,第二学期,星期四
  • 3、统计机器学习:内容、方法与应用,2021-2022,第二学期,星期二
  • 4、统计机器学习:内容、方法与应用,2020-2021,第二学期,星期四

科研项目

纵向项目
  • 1、2025.10.20-2026.05.31,其他研究项目,农业信息处理2025
  • 2、2025.01.08-2025.08.30,无依托项目,农业信息处理2024
  • 3、2018.10.17-2019.06.30,企业单位委托科技项目,冀北电科院考虑大规模风电虚拟同步发电机的新能源汇集地区输电网规划方案研究
  • 4、2018.09.26-2018.12.31,省、自治区、直辖市科技项目,基于频域分析的配电网合环电流暂态计算技术研究
  • 5、2018.04.10-2019.12.01,自选课题,多能流关联耦合特性建模及应用途径研究
  • 6、2018.04.08-2019.12.31,自选课题,计及核电机组运行特性的多种电源联合调峰优化策略研究

论文

论文

科技成果

软件著作
  • 1、校园导览系统,2025,2025SR0845601,软件著作权登记
  • 2、南昌旅游导览系统,2025,2025SR0840488,软件著作权登记
  • 3、车站售票管理系统,2025,2025SR0836126,软件著作权登记
  • 4、非线性流水线调度模拟系统,2025,2025SR0835675,软件著作权登记
  • 5、智能农业养殖环境监测预警系统,2025,2025SR0363757,软件著作权登记
  • 6、考虑功率、能量和波动性的代表性光伏场景提取软件,2024,2024SR1694641,软件著作权登记
  • 7、农业能源互联网低碳运行优化软件,2024,2024SR1541102,软件著作权登记
  • 8、基于共享权重图谱聚类的光伏发电典型场景提取软件,2024,2024SR0743425,软件著作权登记
  • 9、基于改进StyleGAN的全年天气场景随机模拟软件,2024,2024SR0626180,软件著作权登记
  • 10、低碳下计及电力市场约束的跨省区中长期交易出清优化软件,2024,2024SR0155769,软件著作权登记
  • 11、基于单变量时序的超短期农业电力负荷预测软件,2024,2024SR0095825,软件著作权登记
  • 12、基于端侧深度学习技术的综合渔业气象信息服务终端系统,2023,2023SR1800969,软件著作权登记
  • 13、考虑渔业气象的渔业电网用电负荷综合建模系统,2023,2023SR0563528,软件著作权登记
  • 14、基于生成对抗网络的随机天气仿真软件,2022,2022SR1507089,软件著作权登记
  • 15、基于二次四阶矩估计的电力系统概率潮流计算软件,2022,2022SR0558344,软件著作权登记
  • 16、基于小波分解和BP神经网络的光伏功率预测软件,2022,2022SR0558343,软件著作权登记
  • 17、考虑气象因素的电力系统负荷预测软件,2022,2022SR0558342,软件著作权登记
  • 18、基于改进粒子群算法的风力发电在配电网的优化规划软件,2022,2022SR0558341,软件著作权登记
  • 19、计及温室负荷调控的农业能源互联网优化运行软件,2022,2022SR0289116,软件著作权登记
专利
  • 1、一种考虑农作物生理特性的农业园区能源互联网综合安全分析方法,2021,202111387186.7
  • 2、一种基于统计机器学习的园区综合能源系统随机规划方法,2021,202110731623.6
  • 3、一种计及风电不确定性和碳交易机制的综合能源系统日前市场模拟方法,2020,202011008770.2

荣誉及奖励

  • 1、2025,浙江电力科学技术奖
  • 2、2023,神农中华农业科技奖

招生信息

往期招生
硕士研究生
  • 序号
  • 在籍人数
  • 年级
1
5
2025
2
3
2024
3
4
2023
4
1
2022
5
3
2021
博士研究生
  • 序号
  • 在籍人数
  • 年级
1
1
2025
2
1
2024
3
1
2023
4
1
2022
报考意向

团队展示