熊国江【特聘教授】

熊国江，1986年生，男，贵州凯里人，博士，教授，博士研究生导师，新葡的京集团350vip8888官网A类特聘教授，新葡的京集团350vip8888官网学科学术带头人。

主要研究方向

[1]新能源建模与并网、电力系统优化调度、网源荷储互补协调低碳运行

[2]电网故障诊断、故障定位

[3]计算智能（群体智能、深度学习、模糊推理等）在电力系统中的应用等

教育经历

[1]2011/09–2014/06，华中科技大学，电气与电子工程学院，博士

[2]2009/09–2011/06，华中科技大学，电气与电子工程学院，硕士

[3]2005/09–2009/06，浙江大学，新葡的京集团350vip8888官网，本科

工作经历

[1]2017/09-至今，新葡的京集团350vip8888官网，新葡的京集团350vip8888官网

[2]2014/08-2017/08，贵州电网有限责任公司电力调度控制中心

科研项目

 [17]国家自然科学基金地区项目，精细化表征新能源不确定性的电力系统多元低碳协同调度研究，2024-01至2027-12，在研，主持

 [16]国家自然科学基金地区项目，多端柔性配电网多模式分区协调运行的群体智能集成自适应优化方法，2022-01至2025-12，在研，主持

 [15]国家自然科学基金青年项目，具备强解释性的深度神经网络透明化智能电网故障诊断模型，2020-01至2022-12，已结题，主持

 [14]贵州省科技计划项目，支撑高比例新能源接入的贵州电网多目标低碳调度模型与方法研究，2022-04至2025-03，在研，主持

 [13]贵州电网有限责任公司电网规划研究中心项目，贵州电网有限责任公司网研中心2023年县域配电网资源数字化融合规划技术研究及应用，2023-09至2025-12，在研，主持

 [12]新葡的京集团350vip8888官网“学科倍增提升”行动专项国际影响力提升计划（重点计划），新型电力系统优化调度，2023-03至2023-12，已结题，主持

 [11]工业物联网与网络化控制教育部重点实验室开放基金（重点项目），含多异质可再生能源的电力系统环境经济调度不确定性模型与方法研究，2022-01至2024-12，在研，主持

 [10]福建省复杂动态系统智能辨识与控制重点实验室开放基金，基于强化学习群体智能优化的多异质可再生源电力系统目标低碳调度方法研究，2022-06至2024-06，在研，主持

 [9]新葡的京集团350vip8888官网勘察设计研究院有限责任公司创新基金，市场化机制下光储联合电站运行策略研究，2022-12至2024-12，在研，主持

 [8]贵州电网有限责任公司电力调度控制中心项目，调度智能操作体系研究，2022-11至2023-11，已结题，主持

 [7]贵州电网有限责任公司电力调度控制中心项目，调度中心“智”造——源网荷突发风险分层式互动调控管理体系研究，2022-11至2023-11，已结题，主持

 [6]新葡的京集团350vip8888官网潜力学科国际影响力水平提升计划项目，最优化运行与智能化应用，2020-01至2021-12，已结题，主持

 [5]贵州电网有限责任公司电力调度控制中心项目，基于调控一体化模式下的“智能信息化调控体系”提质增效研究，2020-06至2020-10，已结题，主持

 [4]中国电建集团贵阳勘测设计研究院有限公司项目，风光水火储多能互补课题研究，2020-05至2020-07，已结题，主持

 [3]新葡的京集团350vip8888官网培育项目，基于同步教学优化算法的多类光伏电池模型参数辨识，2018-12至2020-12，已结题，主持

 [2]贵州省教育厅青年科技人才成长项目，考虑多重不确定性的电力系统节能减排多目标发电调度模型与方法研究，2018-11至2021-10，已结题，主持

 [1]新葡的京集团350vip8888官网引进人才科研项目，节能减排多目标非凸、非线性发电调度的新型优化方法研究，2018-01至2020-12，已结题，主持

学术论文

【已录用】

 [76]Derong Lv, Guojiang Xiong（通讯作者）, Xiaofan Fu, Man-Chung Wong, Louis-A. Dessaint, Kamal Al-Haddad. Economic Emission Dispatch with Stochastic Renewable Power and Voltage Source Converters via Reinforcement Learning Multi-Objective Differential Evolution. IEEE Transactions on Power Systems,已录用. (SCI收录，影响因子6.6，中科院1区)

 [75]Guojiang Xiong, Zaiyu Gu, Ali Wagdy Mohamed, Houssem R.E.H. Bouchekara, Ponnuthurai Nagaratnam Suganthan. Accurate parameters extraction of photovoltaic models with multi-strategy gaining-sharing knowledge-based algorithm. Information Sciences,已录用. (SCI收录，影响因子8.1，中科院1区)

 [74]陈船宇，熊国江(通讯作者)，方厚康，罗颖勋．基于MODWT-CEEMDAN-LSTM的光伏功率短期区间预测模型．太阳能学报，已录用．(EI收录)

 [73]熊国江，辜再宇．基于强化学习知识获取共享算法的太阳电池模型参数辨识．太阳能学报，已录用．(EI收录)

 [72]杨莎，熊国江(通讯作者)．基于RL-GSK算法的光储联合电站运行策略研究．电网与清洁能源，已录用．(中文核心)

【2024年】

 [71]Shunshun Sun, Guojiang Xiong（通讯作者）, Ponnuthurai Nagaratnam Suganthan. Orthogonal Experimental Design Based Binary Optimization Without Iteration for Fault Section Diagnosis of Power Systems. IEEE Transactions on Industrial Informatics, 2024, 20(2): 2611-2619. (SCI收录，影响因子12.3，中科院1区)

【2023年】

 [70]Zaiyu Gu, Guojiang Xiong（通讯作者）, Xiaofan Fu, Ali Wagdy Mohamed, Mohammed Azmi Al-Betar, Hao Chen, Jun Chen. Extracting accurate parameters of photovoltaic cell models via elite learning adaptive differential evolution. Energy Conversion and Management, 2023, 285, 116994. (SCI收录，影响因子11.533，中科院1区)

 [69]Guojiang Xiong, Xuan Xie, Zixia Yuan, Xiaofan Fu. Differential evolution-based optimized hierarchical extreme learning machines for fault section diagnosis of large-scale power systems. Expert Systems With Applications, 2023, 233, 120937. (SCI收录，影响因子8.665，中科院1区)

 [68]Derong Lv, Guojiang Xiong（通讯作者）, Xiaofan Fu. Economic Emission Dispatch of Power Systems Considering Solar Uncertainty with Extended Multi-objective Differential Evolution. Expert Systems With Applications, 2023, 227, 120298. (SCI收录，影响因子8.665，中科院1区)

 [67]Zixia Yuan, Guojiang Xiong（通讯作者）, Xiaofan Fu, Ali Wagdy Mohamed. Improving fault tolerance in diagnosing power system failures with optimal hierarchical extreme learning machine. Reliability Engineering & System Safety, 2023, 236, 109300. (SCI收录，影响因子7.247，中科院1区)

 [66]Guojiang Xiong, Lei Li, Ali Wagdy Mohamed, Jing Zhang, Yao Zhang, Hao Chen. Optimal identification of unknown parameters of photovoltaic models using dual-population gaining-sharing knowledge-based algorithm. International Journal of Intelligent Systems, 2023, Article ID 3788453, 24 pages. (SCI收录，影响因子8.993，中科院2区)

 [65]Qinghua Liu, Guojiang Xiong（通讯作者）, Xiaofan Fu, Ali Wagdy Mohamed, Jing Zhang, Mohammed Azmi Al-Betar, Hao Chen, Jun Chen, Sheng Xu. Hybridizing Gaining-Sharing Knowledge and Differential Evolution for Large-scale Power System Economic Dispatch Problems. Journal of Computational Design and Engineering, 2023, 10: 615-631. (SCI收录，影响因子6.167，中科院2区)

 [64]Derong Lv, Guojiang Xiong（通讯作者）, Xiaofu Fu, Mohammed Azmi Al-Betar, Jing Zhang, Houssem R.E.H. Bouchekara, Hao Chen. Exponential hybrid mutation differential evolution for economic dispatch of large-scale power systems considering valve-point effects. Applied Intelligence, 2023, 53: 31046-31064. (SCI收录，影响因子5.3，中科院2区)

 [63]Zaiyu Gu, GuojiangXiong（通讯作者）, Xiaofan Fu. Parameter Extraction of Solar Photovoltaic Cell and Module Models with Metaheuristic Algorithms: A Review. Sustainability, 2023, 15(4), 3312. (SCI收录，影响因子3.889，中科院3区)

 [62]蒋承刚，熊国江(通讯作者)，帅茂杭．基于DE-Jaya混合优化算法的电力系统经济调度方法．传感器与微系统，2023，42(8)：157-160+164．(中文核心)

 [61]魏冲冲，熊国江(通讯作者)，陈锦龙，张耀．基可评价保护系统动作行为的双重神经网络电网故障诊断模型．实验室研究与探索，2023，42(6)：80-83+136．(中文核心)

 [60]徐波，熊国江(通讯作者)，叶方慧．基于智能软开关优化配置的配电网柔性互联策略．电网与清洁能源，2023，39(11)：86-96．(中文核心)

【2022年】

 [59]Guojiang Xiong, Maohang Shuai, Xiao Hu. Combined heat and power economic emission dispatch using improved bare-bone multi-objective particle swarm optimization. Energy, 2022, 244: 123108. (SCI收录，影响因子8.857，中科院1区)

 [58]Shengping Xu, GuojiangXiong（通讯作者）, Ali Wagdy Mohamed, Houssem R.E.H. Bouchekara. Forgetting velocity based improved comprehensive learning particle swarm optimization for non-convex economic dispatch problems with valve-point effects and multi-fuel options. Energy, 2022, 256: 124511. (SCI收录，影响因子8.857，中科院1区)

 [57]Tianping Liu, GuojiangXiong（通讯作者）, Ali Wagdy Mohamed, Ponnuthurai Nagaratnam Suganthan. Opposition-mutual learning differential evolution with hybrid mutation strategy for large-scale economic load dispatch problems with valve-point effects and multi-fuel options. Information Sciences, 2022, 609: 1721-1745. (SCI收录，影响因子8.233，中科院1区)

 [56]Changsong Li, GuojiangXiong（通讯作者）, Xiaofan Fu, Ali Wagdy Mohamed, Xufeng Yuan, Mohammed Azmi Al-Betar, Ponnuthurai Nagaratnam Suganthan. Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm. Knowledge-Based Systems, 2022, 255: 109773. (SCI收录，影响因子8.139，中科院1区)

 [55]Guojiang Xiong, Xufeng Yuan, Ali Wagdy Mohamed, Jing Zhang. Fault section diagnosis of power systems with logical operation binary gaining-sharing knowledge-based algorithm. International Journal of Intelligent Systems, 2022, 37: 1057-1080. (SCI收录，影响因子8.993，中科院2区)

 [54]GuojiangXiong, Xufeng Yuan, Ali Wagdy Mohamed, Jun Chen, Jing Zhang. Improved binary gaining–sharing knowledge-based algorithm with mutation for fault section location in distribution networks. Journal of Computational Design and Engineering, 2022, 9(2): 393-405. (SCI收录，影响因子6.167，中科院2区)

 [53]Xuan Xie, GuojiangXiong（通讯作者）, Jun Chen, Jing Zhang. Universal Transparent Artificial Neural Network-Based Fault Section Diagnosis Models for Power Systems. Advanced Theory and Simulations, 2022, 5(4): 2100402. (SCI收录，影响因子4.105，中科院3区)

 [52]Abdullah M. Shaheen, Ragab A. El-Seheimy, GuojiangXiong, EhabElattar, Ahmed R. Ginidi. Parameter identification of solar photovoltaic cell and module models via supply demand optimizer. Ain Shams Engineering Journal, 2022, 13(4): 101705. (SCI收录，影响因子4.790，中科院3区)

 [51]Zixia Yuan, GuojiangXiong（通讯作者）, Xiaofan Fu. Artificial Neural Network for Fault Diagnosis of Solar Photovoltaic Systems: A Survey. Energies, 2022, 15(22): 8693. (SCI收录，影响因子3.252，中科院4区)

 [50]Derong Lv, GuojiangXiong（通讯作者）, Xiaofan Fu, Yang Wu, Sheng Xu, Hao Chen. Optimal Power Flow with Stochastic Solar Power Using Clustering-Based Multi-Objective Differential Evolution. Energies, 2022, 15(24): 9489. (SCI收录，影响因子3.252，中科院4区)

 [49]帅茂杭，熊国江（通讯作者），胡晓，陈锦龙．基于改进多目标骨干粒子群算法的电力系统环境经济调度．控制与决策，2022，37(4)：997-1004．(EI收录)

 [48]张南阳，熊国江(通讯作者)，陈锦龙，姚刚．含风电电力系统机组组合的量子离散差分进化方法．电网与清洁能源，2022，38(1)：89-96．(中文核心)

 [47]史磊，熊国江(通讯作者)，潘政，刘宇，何其多，付子怡．改进自适应禁忌退火粒子群算法的电力系统环境经济调度．实验室研究与探索，2022，41(10)：104-109．(中文核心)

 [46]张南阳，熊国江(通讯作者)，陈锦龙，姚刚．含电转气的电力系统模糊控制多阶段优化调度方法．实验室研究与探索，2022，41(1)：113-119．(中文核心)

 [45]蒋承刚，熊国江(通讯作者)，陈锦龙，杨杰，梁婧仪．含风光电力系统动态环境经济调度的混合优化．电力科学与工程，2022，38(9)：8-15．

【2021年】

 [44]Guojiang Xiong, Lei Li, Ali Wagdy Mohamed, Xufeng Yuan, Jing Zhang. A new method for parameter extraction of solar photovoltaic models using gaining–sharing knowledge based algorithm. Energy Reports, 2021, 7: 3286-3301. (SCI收录，影响因子3.595，中科院2区)

 [43]Lei Li, Guojiang Xiong（通讯作者）, Xufeng Yuan, Jing Zhang, Jinlong Chen. Parameter Extraction of Photovoltaic Models Using a Dynamic Self-Adaptive and Mutual-Comparison Teaching-Learning-Based Optimization. IEEE Access, 2021, 9: 52425-52441. (SCI收录，影响因子3.745，中科院2区)

 [42]Guojiang Xiong, Jing Zhang, Dongyuan Shi, Lin Zhu, Xufeng Yuan. Optimal identification of solid oxide fuel cell parameters using a competitive hybrid differential evolution and Jaya algorithm. International Journal of Hydrogen Energy, 2021, 46(9): 6720-6733. (SCI收录，影响因子4.939，中科院2区)

 [41]张劲，熊国江（通讯作者），邹晓松，袁旭峰．含风电和径流式小水电的多目标环境经济调度．电力系统自动化，2021，45(9)：38-45．(EI收录)

 [40]姚刚，熊国江，张靖，石珂，伍仕红．区域风光集群断面裕度分配策略研究．电力系统保护与控制，2021，49(19)：48-55．(EI收录)

 [39]谢璇，熊国江（通讯作者）．基于模糊推理脉冲神经膜系统的电网故障通用诊断模．电子测量技术，2021，44(24)：72-78．(中文核心)

 [38]蒋承刚，熊国江(通讯作者)，陈锦龙．基于改进非支配多目标差分进化算法的含风电-小水电电力系统动态环境经济调度．电力科学与工程，2021，37(8)：1-9．

【2020年】

 [37]Guojiang Xiong, Jing Zhang, Dongyuan Shi, Lin Zhu, Xufeng Yuan. Parameter extraction of solar photovoltaic models with an either-or teaching learning based algorithm. Energy Conversion and Management, 2020, 224: 113395. (SCI收录，影响因子8.208，中科院1区)

 [36]Guojiang Xiong, Jing Zhang, Dongyuan Shi, Lin Zhu, Xufeng Yuan, Zhukui Tan. Winner-leading competitive swarm optimizer with dynamic Gaussian mutation for parameter extraction of solar photovoltaic models. Energy Conversion and Management, 2020, 206: 112450. (SCI收录，影响因子8.208，中科院1区)

 [35]Guojiang Xiong, Jing Zhang, Dongyuan Shi, Xufeng Yuan. A simplified competitive swarm optimizer for parameter identification of solid oxide fuel cells. Energy Conversion and Management, 2020, 203: 112204. (SCI收录，影响因子8.208，中科院1区)

 [34]Guojiang Xiong, Jing Zhang, Dongyuan Shi, Lin Zhu, Xufeng Yuan. Parameter extraction of solar photovoltaic models via quadratic interpolation learning differential evolution. Sustainable Energy & Fuels, 2020, 4(11): 5595-5608. (SCI收录，影响因子5.503，中科院2区)

 [33]Zhenqi Tan, Jing Zhang, Yu He, Ying Zhang, Guojiang Xiong, Ying Liu. Short-Term Load Forecasting Based on Integration of SVR and Stacking. IEEE Access, 2020, 8: 227719-227728. (SCI收录，影响因子3.745，中科院2区)

【2019年】

 [32]Guojiang Xiong, Jing Zhang, Dongyuan Shi, Lin Zhu, Xufeng Yuan, Gang Yao. Modified Search Strategies Assisted Crossover Whale Optimization Algorithm with Selection Operator for Parameter Extraction of Solar Photovoltaic Models. Remote Sensing, 2019, 11(23): 2795. (SCI收录，影响因子4.118，中科院2区)

 [31]Guojiang Xiong, Jing Zhang, Dongyuan Shi, Xufeng Yuan. Application of Supply-Demand-Based Optimization for Parameter Extraction of Solar Photovoltaic Models. Complexity, 2019, Article ID 3923691, 22 pages. (SCI收录，影响因子2.591，中科院2区)

 [30]Jing Zhang, Guojiang Xiong, Ke Meng, Peijia Yu, Gang Yao, Zhaoyang Dong. An improved probabilistic load flow simulation method considering correlated stochastic variables. International Journal of Electrical Power & Energy Systems, 2019, 111: 260-268. (SCI收录，影响因子3.610，中科院2区)

 [29]Jing Zhang, Luqin Fan, Ying Zhang, Gang Yao, Peijia Yu, Guojiang Xiong, Ke Meng, Xiangping Chen, Zhaoyang Dong. A Probabilistic Assessment Method for Voltage Stability Considering Large Scale Correlated Stochastic Variables. IEEE Access, 2019, 8: 5407-5415. (SCI收录，影响因子3.745，中科院2区)

 [28]Guojiang Xiong, Jing Zhang, Dongyuan Shi, Yu He. Oppositional brain storm optimization for fault section location in distribution networks. Book Chapter: Brain Storm Optimization Algorithms: Concepts, Principles and Applications. Springer, Cham, 2019, 23: 61-77.

 [27]熊国江，张靖，何宇．电网故障的正余弦诊断方法研究．实验室研究与探索，2019，38(9)：25-28+115．(中文核心)

 [26]熊国江，张靖，何宇．电力系统经济调度的正余弦优化算法仿真研究．实验室研究与探索，2019，38(4)：98-102．(中文核心)

【2018年】

 [25]Guojiang Xiong, Jing Zhang, Xufeng Yuan, Dongyuan Shi, Yu He, Gang Yao. Parameter extraction of solar photovoltaic models by means of a hybrid differential evolution with whale optimization algorithm. Solar Energy, 2018, 176: 742-761. (SCI收录，影响因子4.374，中科院2区)

 [24]Guojiang Xiong, Jing Zhang, Xufeng Yuan, Dongyuan Shi, Yu He, Yao Yao, Gonggui Chen. A novel method for economic dispatch with across neighborhood search: a case study in a provincial power grid, China. Complexity, 2018, Article ID 2591341, 18 pages. (SCI收录，影响因子1.824，中科院2区)

 [23]Guojiang Xiong, Jing Zhang, Xufeng Yuan, Dongyuan Shi, Yu He. Application of symbiotic organisms search algorithm for parameter extraction of solar cell models. Applied Sciences, 2018, 8(11), 2155. (SCI收录，影响因子1.689，中科院3区)

 [22]Guojiang Xiong, Jing Zhang, Dongyuan Shi, Yu He. Parameter extraction of solar photovoltaic models using an improved whale optimization algorithm. Energy Conversion and Management, 2018, 174: 388-405. (SCI收录，影响因子6.377，中科院1区)

 [21]Guojiang Xiong, Jing Zhang, Dongyuan Shi, Yu He. Parameter identification of solid oxide fuel cells with ranking teaching-learning based algorithm. Energy Conversion and Management, 2018, 174: 126-137. (SCI收录，影响因子6.377，中科院1区)

 [20]Guojiang Xiong, Dongyuan Shi. Hybrid biogeography-based optimization with brain storm optimization for non-convex dynamic economic dispatch with valve-point effects. Energy, 2018, 157: 424-435. (SCI收录，影响因子4.968，中科院1区)

 [19]Guojiang Xiong, Dongyuan Shi, Jing Zhang, Yao Zhang. A binary coded brain storm optimization for fault section diagnosis of power systems. Electric Power Systems Research, 2018, 163: 441-451. (SCI收录，影响因子2.856，中科院3区)

 [18]Guojiang Xiong, Dongyuan Shi．Orthogonal learning competitive swarm optimizer for economic dispatch problems．Applied Soft Computing, 2018, 66: 134-148. (SCI收录，影响因子3.907，中科院2区)

【2017年以前】

 [17]郭艳艳，熊国江（通讯作者）．大规模电力系统经济调度的改进竞争群优化算法．电力系统保护与控制，2017，45(15)：97-103．(中文核心)

 [16]郭艳艳，熊国江（通讯作者）．基于正弦与余弦优化算法的配电网故障区间定位．电力系统保护与控制，2017，45(13)：97-101．(中文核心)

 [15]陈功贵，卢正琴，熊国江，张治中，曾维信．基于改进CS算法的电网损耗最小仿真研究．实验室研究与探索，2017，36(7)：92-96．(中文核心)

 [14]陈功贵，易兴庭，熊国江，张治中．基于改进萤火虫算法的电力系统优化潮流仿真研究．实验室研究与探索，2017，36(6)：93-97．(中文核心)

 [13]陈功贵，黄山外，孙智，张治中，熊国江．基于改进量子粒子群算法的电力系统经济调度仿真研究．实验技术与管理，2017，34(3)：104-107．(中文核心)

 [12]赵翔宇，王成亮，姚刚，范翔，熊国江，张旭，朱椤方，黄晓旭．基于南网事故调规的电网在线事故风险预警系统设计与开发应用．中国电力，2016，49(S1)：62-66．(中文核心)

 [11]Guojiang Xiong, Yinhong Li, Jinfu Chen, Dongyuan Shi, Xianzhong Duan．Polyphyletic migration operator and orthogonal learning aided biogeography-based optimization for dynamic economic dispatch with valve-point effects．Energy Conversion and Management, 2014, 80: 457-468. (SCI收录，影响因子4.380，中科院1区)

 [10]Guojiang Xiong, Dongyuan Shi, Xianzhong Duan．Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning．Computers & Operations Research, 2014, 41: 125-139. (SCI收录，影响因子1.861，中科院3区)

 [9]熊国江，石东源．电网故障诊断改进解析模型及其自适应生物地理学优化方法．电工技术学报，2014，29(4)：205-211．(EI收录)

 [8]熊国江，石东源，朱林，陈祥文．基于径向基函数神经网络的电网模糊元胞故障诊断．电力系统自动化，2014，38(5)：59-65．(EI收录)

 [7]石东源，熊国江（通讯作者），陈金富，李银红．基于径向基函数神经网络和模糊积分融合的电网分区故障诊断．中国电机工程学报，2014，34(4)：562-569．(EI收录)

 [6]Guojiang Xiong, Dongyuan Shi, Xianzhong Duan．Multi-strategy ensemble biogeography-based optimization for economic dispatch problems．Applied Energy, 2013, 111: 801-811. (SCI收录，影响因子5.261，中科院1区)

 [5]Guojiang Xiong, Dongyuan Shi, Jinfu Chen, Lin Zhu, Xianzhong Duan．Divisional fault diagnosis of large-scale power systems based on radial basis function neural network and fuzzy integral．Electric Power Systems Research, 2013, 105: 9-19.(SCI收录，影响因子1.749，中科院3区)

 [4]Guojiang Xiong, Dongyuan Shi, Lin Zhu, Xianzhong Duan．A new approach to fault diagnosis of power systems using fuzzy reasoning spiking neural P systems．Mathematical Problems in Engineering, 2013, Article ID: 815352, 13 pages. (SCI收录，影响因子1.383，中科院4区)

 [3]Guojiang Xiong, Dongyuan Shi, Jinfu Chen．Implementing fuzzy reasoning spiking neural P system for fault diagnosis of power systems. 2013 IEEE Power and Energy Society General Meeting, PES 2013, Vancouver, Canada, 2013.7.21-7.25. (EI收录)

 [2]熊国江，石东源．容错Petri网电网故障诊断改进模型．华中科技大学学报(自然科学版)，2013，41(1):11-15．(EI收录)

 [1]熊国江，石东源，朱林．基于多输出衰减径向基函数神经网络的电网故障诊断．电力系统保护与控制，2013，41(21)：38-45．(中文核心)

审稿期刊

Applied Energy

Applied Soft Computing

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic

Computers & Operations Research

Electric Power Systems Research

Energy Conversion and Management

Expert Systems with Applications

IEEE Transactions on Power Delivery

IEEE Transactions on Smart Grid

IEEE Transactions on Power Systems

IET Generation, Transmission & Distribution

IET Renewable Power Generation

International Journal of Electrical Power & Energy Systems

Journal of Renewable and Sustainable Energy

Soft Computing

Solar Energy

 ……（30+）

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