付学谦 信息与电气工程学院

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), 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

[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]Xueqian Fu, Statistical Relational AI for PV Multi-Timescale Uncertainty Modeling: Theory, Case Analysis, and Engineering Practice. Wiley-IEEE Press.

[chapter1]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.

[chapter2] Xueqian Fu; Feifei Yang; Qiaoyu Ma; Na Lu; Chunyu Zhang, Statistical Machine Learning Model for Production Simulation of Power Systems with a High Proportion of Photovoltaics, in Artificial Intelligence Empowered Smart Energy Systems , IEEE, 2026, pp.173-197, doi: 10.1002/9781394253647.ch6.

IEEE Trans paper 

[1]  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. (ESI热点论文、ESI高被引论文)

[2]  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. (ESI高被引论文)

[3]  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.

[4]  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, vol. 3, no. 2, pp. 569-581, Sept.-Oct. 2025.

[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 Systems, vol. 36, no. 3, pp. 5348-5362, March 2025. (ESI高被引论文)

[6]  X. Fu, F. Chang, H. Sun, P. 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, vol. 40, no. 6, pp. 5289-5301, Nov. 2025.

[7]  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, vol. 40, no. 5, pp. 4353-4366, Sept. 2025.

[8]  X. Fu, Q. Ma, Z. Li, J. Li, R. Feng, H. Sun, and Y. Zhang, An Innovative Diffusion Model Based on Adaptive Time-Frequency Drive for High-Resolution Photovoltaic Data Reconstruction, in IEEE Transactions on Smart Grid,doi: 10.1109/TSG.2026.3655584.

[9]  X. Fu, F. Chang, Z. Li, H. Sun, Y. Zhang and 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.

[10] 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.

[11]X. Fu, Z. 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 Regulation, vol. 3, no. 1, pp. 109-120, March 2025.

[12]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.

[13] 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.

[14] 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.

[15] W. Li, Y. Zou, H. Yang, X. Fu, S. Xiang and Z. Li, Two-Stage Stochastic Energy Scheduling for Multi-Energy Rural Microgrids With Irrigation Systems and Biomass Fermentation, in IEEE Transactions on Smart Grid, vol. 16, no. 2, pp. 1075-1087, March 2025.  (ESI高被引论文)

[16] H. Wang, J. Ruan, G. Wang, B. Zhou, Y. Liu, X. Fu, J. Peng, Deep Learning-Based Interval State Estimation of AC Smart Grids Against Sparse Cyber Attacks, in IEEE Transactions on Industrial Informatics, vol. 14, no. 11, pp. 4766-4778, Nov. 2018.

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*; et al, Multi-Scale Patch and Frequency-Domain Gated Learning for High-Resolution Day-Ahead Photovoltaic Forecasting, Applied Energy,  Volume 402, Part B,2026, 126973.

[6] N. Lu, ,Xueqian Fu*;; etal, Enhancing Representative Photovoltaic Scenario Extraction for Multiple Power Stations with a Shared-Weight and Adaptively Fused Graph Clustering Method, Applied Energy,  Volume 406, 1 March 2026, 127291.

[7] C. Zhang, X. Fu*;, D. Yang, P. Zhang, and Y. Zhang,“GEV distribution-enhanced Fourier diffusion model for extreme value capture in day-ahead photovoltaic scenario generation,” Applied Energy, Volume 409, 15 April 2026, 127472.

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, doi：10.1049/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

Other

[1] Hai Long; Xueqian Fu*; Wenbo Kong; Hongyi Chen; Yazhong Zhou; Feifei Yang; Key technologies and applications of rural energy internet in China, Information Processing in Agriculture, 2024, 11(3), 277-298.  (ESI高被引论文)

[2]Xueqian Fu; Haosen Niu; Key Technologies and Applications of Agricultural Energy Internet for Agricultural Planting and Fisheries industry, Information Processing in Agriculture, 2022, 10(3), 416-437.   (ESI高被引论文)

[3]Xueqian Fu; Qiaoyu Ma; Feifei Yang; Chunyu Zhang; Xiaolong Zhao; Fuhao Chang; Lingling Han; Crop pest image recognition based on the improved ViT method, Information Processing in Agriculture, 2024, 11(2), 249-259.    (ESI高被引论文)

[4]Xueqian Fu; Tong Gou; Modeling of comprehensive power load of fishery energy internet considering fishery meteorology, Information Processing in Agriculture, 2023, 10(4): 581-591. （2023IF: 7.7）

[5] Xueqian Fu; Chunyu Zhang; Fuhao Chang; Lingling Han; Xiaolong Zhao; Zhengjie Wang; Qiaoyu Ma; Simulation and forecasting of fishery weather based on statistical machine learning, Information Processing in Agriculture, 2024, 11(1): 127-142.  （2023IF: 7.7）

[6]  Xueqian Fu; Lingxi Ma; Huaichang Ge; Jiahui Zhang; Static Security Analysis of Agricultural Energy Internet Considering Dragon Fruit Winter Electricity Load Characteristics, Information Processing in Agriculture, 2025, 12(1): 27-39. （2023IF: 7.7）

[7] Xueqian Fu; Recommended air conditioner temperature based on probabilistic power flow considering high-dimensional stochastic variables, IEEE Access, 2019, 7: 133951-133961.

[8]  Xueqian Fu; Gengrui Chen; Dechang Yang, Local false data injection attack theory considering isolation physical-protection in power systems, IEEE Access, 2020, 8: 103285-103290 .

[9]Wanwei Tang; Shaoli Kang; Xueqian Fu*; Xinwei Yue; Xiurong Zhang, On the performance of PDMA with decode-and-forward relaying in downlink network, IEEE Access, 2018, 6: 20113-20124.

[10]  Xiurong Zhang; Shaoli Kang; Xueqian Fu*, Pattern division multiple access featuring amplify-and-forward relaying in an uplink network, IEEE Access, 2020, 8: 2169-3536.

[11]  Yingying Zheng, Aodong Chen,Xueqian Fu,Daoliang Li. Photovoltaics and Agriculture Nexus: Exploring the Influence of Agrivoltaics on Food Production and Electricity Generation. IEEE Journal of Photovoltaics. doi:10.1109/JPHOTOV.2024.3421298.

[12]  Xueqian Fu; Yazhong Zhou; Feifei Yang; Lingxi Ma; Hai Long; Yujie Zhong; Peng Ni, A review of key technologies and trends in the development of integrated heating and power systems in agriculture, Entropy, 2021, 23, 260.

[13] Kun Zheng, Zhiyuan Sun *, Yi Song, Chen Zhang, Chunyu Zhang, Fuhao Chang, Dechang Yang, Xueqian Fu. tochastic Scenario Generation Methods for Uncertainty in Wind and Photovoltaic Power Output: A Comprehensive Review, energies-3353491.

[14] Xiurong Zhang; Shaoli Kang; Xueqian Fu*, Optimal power allocation for cooperative pattern division multiple access systems, Mathematical Problems in Engineering,2021,5581811,1-10.\

[15]  Xueqian Fu; Xianping Wu; Nian Liu, Statistical machine learning model for uncertainty planning of distributed renewable energy sources in distribution networks, Frontiers in Energy Research,2021,9:809254.

[16]  Xueqian Fu; Kaitao Yang; Guodong Li; Dan Zeng, Research on the trading arrangement and clearing model of medium and long term inter-provincial markets considering security constraints,Frontiers in Energy Research, 9:839108.

[17] Xueqian Fu; Viewpoints on the Experiences and Challenges of Fishery Energy Internet, Frontiers in Energy Research, 2022,10:884920. doi: 10.3389/fenrg.2022.884920.

[18] Xueqian Fu; Viewpoints on Net-Zero Emissions of Agricultural Energy Internet, Frontiers in Energy Research, 2022, 10:919001.

[19] Xueqian Fu; Feifei Yang, Viewpoints on the theory of agricultural energy internet, Frontiers in Energy Research,2022,9:839108.

[20]  Xueqian Fu; Feifei Yang, Artificial Intelligence Early Warning of Agricultural Energy Internet, Frontiers in Energy Research, 2022,10:916495.

[21] Xueqian Fu; Chunyu Zhang; Xianping Wu, Statistical machine learning model for uncertainty analysis of photovoltaic power, Frontiers in Energy Research.2022,10:956543.

[22] Xueqian Fu; Zhonghui Wei,Feifei Yang,Jiahao Bai andTong Gou, Modelling of Agricultural Energy Internet Considering the Integration of Planting Industry and New Energy, Frontiers in Energy Research.2022,10:998493.

[23]Chunyu., Zhang, Xueqian Fu*; Xianping Wu. Statistical machine learning techniques of weather simulation for the fisherysolar hybrid systems. Frontiers in Energy Research. (2022). 10.3389.

[24] Kaitao Yang,Yanmin Guo and Xueqian Fu*.Opinion on Intra-provincial Medium and Long-term Electricity Market Considering Available Transmission Capacity, Frontiers in Energy Research.2023, 10.3389.

[25] Jing Wang,Zongmin Yu,Weizheng Kong,Yang Gao,Huacheng Zhang, Xueqian Fu*;Multi-Time-Scale Analysis of Power Balance Considering Coordination Between Distributed and Centralized PV Power Generation, Frontiers in Energy Research.2022, 10:902779.

[26] Xiao D, Chen B, Li Z, Xueqian Fu, Wei C and Lu D (2023) Editorial: Control, operation, and trading strategies for intermittent renewable energy in smart grids. Front. Energy Res. 11:1139238.