刘洋 - 四川大学 - 电气工程学院

个人简介

专业：电力系统及其自动化学习经历： 1. 2001-2005，四川大学电气信息学院，电气工程及其自动化专业，学士 2. 2005-2006，Brunel University, School of Engineering and Design, Data Communication Systems, 硕士 3. 2006-2011，Brunel University, School of Engineering and Design, High-Performance Information Retrieval, 博士工作经历： 1. 2006-2011，助教，School of Engineering and Design, Brunel University 2. 2012至今，教师，电气信息学院，四川大学本科教学： 1. 自动控制原理（Ⅱ） 2. 计算机网络与通信研究生教学：承担现代控制理论教学，并指导全日制研究生17人、改制后非全日制研究生3人。主要方向： 1. 高比例可再生能源、储能优化配置等 2. 综合能源系统规划、运行及综合服务 3. 基于高性能计算的精细化负荷分析科研项目： 1. 雅砻江流域电站运行方式决策支持系统 2. 结构化数据高性能辨识算法研究 3. 基于弹性分布式语义分析与模糊识别技术的智能电力应急指挥系统 4.社区能源互联网形态与关键技术研究 5.考虑间歇式能源分布式发电的微网群-配电网能量交易研究 6.计及新型电力消费及需求侧管理的负荷行为特征分析及预测获奖：四川大学青年骨干教师

研究领域

新能源及储能技术、综合能源系统、电力数据精细化分析及高性能计算等

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

部分中文期刊： 1. 许立雄, 刘俊勇, 刘洋,等. 电力网络结构特性分析[J]，四川大学学报(工程科学版)，2014(s2):133-139. 2. 刘友波, 刘洋, 刘俊勇,等. 基于Hadoop架构的电力系统连锁故障分布式计算技术[J]，电力系统自动化，2016, 40(7):90-97. 3. 许立雄, 刘俊勇, 刘洋,等. 基于负荷电流场的电网分区方法[J]，电网技术，2015, 39(4):1039-1044. 4. 许立雄, 刘俊勇, 刘洋,等. 节点重要度的分类综合评估[J]，中国电机工程学报，2014, 34(10):1609-1617. 5. 刘洋，刘洋，许立雄，适用于海量负荷数据分类的高性能反向传播神经网络算法[J]，电力系统自动化，Vol. 21, pp: 96-105, 2018. 6. 朱嘉远，刘洋，许立雄等，风电全消纳下的配电网储能可调鲁棒优化配置[J]，电网技术，Vol. 6, pp: 1875-1883, 2018. 7. 刘洋，刘洋，许立雄，计及数据类别不平衡的海量用户负荷典型特征高性能提取方法[J]，中国电机工程学报， Vol. 14, pp: 4093-4104, 2019. 8. 朱嘉远，刘洋，许立雄等，考虑风电消纳的热电联供型微网日前鲁棒经济调度[J]，电力系统自动化，Vol. 4, pp: 40-51, 2019. 9. 李想，王鹏，刘洋，许立雄，考虑类别不平衡的海量负荷用电模式辨识方法[J]，中国电机工程学报， Vol. 1, pp: 128-137+380, 2020. 部分英文期刊： 1. Yang Liu, Xiang Li, Xianbang Chen, Xi Wang, and Huaqiang Li, High-Performance Machine Learning for Large-Scale Data Classification considering Class Imbalance, Scientific Programming, DOI: 10.1155/2020/1953461, 2020. 2. Yang Liu, Xianbang Chen, Bin Li, Huaqiang Li, and Yanli Ye, WKS-Type Distributionally Robust Optimisation for Optimal Sub-Hourly Look-Ahead Economic Dispatch, IET Generation Transmission & Distribution, DOI: 10.1049/iet-gtd.2019.1344, 2019. 3. Yang Liu, Xianbang Chen, Lixiong Xu, Huaqiang Li, and Maozhen Li, A Resource Aware Parallelized Back Propagation Neural Network in Enabling Efficient Large-scale Digital Health Data Processing, IEEE Access, PP(99):1-1, DOI: 10.1109/ACCESS.2019.2935691, 2019. 4. Xianbang Chen, Yang Liu, Yang Liu, and Bin Li, Adjustable robust optimization in enabling optimal day-ahead economic dispatch of CCHP-MG considering uncertainties of wind-solar power and electric vehicle, Journal of Industrial and Management Optimization, 13(5), DOI: 10.3934/jimo.2020038, 2020. 5. Yang Liu, Yanli Ye, Xianbang Chen, Huaqiang Li, and Yuan Huang, Robust Day-Ahead Dispatch for Integrated Power-Heat-Gas Microgrid considering Wind Power Uncertainty, Mathematical Problems in Engineering, 2020(9):1-12, DOI: 10.1155/2020/4215906, 2020. 6. Peng Wei and Yang Liu, The Integration of Wind-Solar-Hydropower Generation in Enabling Economic Robust Dispatch, Mathematical Problems in Engineering, 2019(13):1-12, DOI: 10.1155/2019/4634131, 2019. 7. Xiaodong Shen, Yang Liu, and Yan Liu, A Multistage Solution Approach for Dynamic Reactive Power Optimization Based on Interval Uncertainty, Mathematical Problems in Engineering, 2018(2):1-10, DOI: 10.1155/2018/3854812, 2018. 8. Xiangrong Wang, Hui Wang, Robert Y. Liang, and Yang Liu, A Semi-Supervised Clustering-Based Approach for Stratification Identification Using Borehole and Cone Penetration Test Data, Engineering Geology, DOI: 10.1016/j.enggeo.2018.11.014, 2018. 9. Yang Liu, Chenxiao Ma, Lixiong Xu, Xiaodong Shen, Maozhen Li, Pengcheng Li: MapReduce-based parallel GEP algorithm for efficient function mining in big data applications. Concurrency and Computation Practice and Experience, DOI:10.1002/cpe.4379, 2017. 10. Lixiong Xu, Yuan Huang, Xiaodong Shen, Yang Liu: Parallelizing Gene Expression Programming Algorithm in Enabling Large-Scale Classification. Scientific Programming; 2017:1-10., DOI:10.1155/2017/5081526, 2017. 11. Yang Liu, Youbo Liu, Junyong Liu, Maozhen Li, Tingjian Liu, Gareth Taylor, Kunyu Zuo: A MapReduce Based High Performance Neural Network in Enabling Fast Stability Assessment of Power Systems. Mathematical Problems in Engineering; 2017:1-12., DOI:10.1155/2017/4030146, 2017. 12. Youbo Liu, Yang Liu, Junyong Liu, Maozhen Li, Zhibo Ma, Gareth Taylor: High-performance predictor for critical unstable generators based on scalable parallelized neural networks. 4(3), DOI:10.1007/s40565-016-0209-4, 2016. 13. Yang Liu, Lixiong Xu, Maozhen Li: The Parallelization of Back Propagation Neural Network in MapReduce and Spark. International Journal of Parallel Programming, 45(4), DOI:10.1007/s10766-016-0401-1, 2016. 14. Yang Liu, Weizhe Jing, Lixiong Xu: Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model. Computational Intelligence and Neuroscience, 2016(2):1-11., DOI:10.1155/2016/2842780, 2016. 15. Yang Liu, Weizhe Jing, Youbo Liu, Lin Lv, Man Qi, Yang Xiang: A sliding window-based dynamic load balancing for heterogeneous Hadoop clusters. Concurrency and Computation Practice and Experience, 29(3), DOI:10.1002/cpe.3763, 2016. 16. Yang Liu, Jie Yang, Yuan Huang, Lixiong Xu, Siguang Li, Man Qi: MapReduce Based Parallel Neural Networks in Enabling Large Scale Machine Learning. Computational Intelligence and Neuroscience, 2015(2):1-13, DOI:10.1155/2015/297672, 2016. 17. Wenming Guo, Nasullah Khalid Alham, Yang Liu, Maozhen Li, Man Qi: A Resource Aware MapReduce Based Parallel SVM for Large Scale Image Classifications. Neural Processing Letters, 44(1), DOI:10.1007/s11063-015-9472-z, 2016. 18. Chuang Deng, Yang Liu, Lixiong Xu, Jie Yang, Junyong Liu, Siguang Li, Maozhen Li: A MapReduce-based parallel K-means clustering for large-scale CIM data verification. Concurrency and Computation Practice and Experience, 28(11)., DOI:10.1002/cpe.3580, 2015. 19. Yang Liu, Maozhen Li, Mukhtaj Khan, Man Qi: A MapReduce Based Distributed LSI for Scalable Information Retrieval. Computing and Informatics, 33(2), 2014. 20. Nasullah Khalid Alham, Maozhen Li, Yang Liu, Man Qi: A MapReduce-based distributed SVM ensemble for scalable image classification and annotation. Computers & Mathematics with Applications, 66(10):1920-1934, DOI:10.1016/j.camwa.2013.07.015, 2013. 21. Godwin Caruana, Maozhen Li, Yang Liu: An Ontology Enhanced Parallel SVM for Scalable Spam Filter Training. Neurocomputing, DOI:10.1016/j.neucom.2012.12.001, 2013. 22. Yang Liu, Maozhen Li, Nasullah Khalid Alham, Suhel Hammoud: HSim: A MapReduce simulator in enabling Cloud Computing. Future Generation Computer Systems, 29(1), DOI:10.1016/j.future.2011.05.007, 2013. 23 Nasullah Khalid Alham, Maozhen Li, Yang Liu, Suhel Hammoud: A MapReduce-based distributed SVM algorithm for automatic image annotation. Computers & Mathematics with Applications, 62(7):2801-2811, DOI:10.1016/j.camwa.2011.07.046, 2011. 24. Xiangyu Liu, Maozhen Li, Yang Liu, Man Qi: OBIRE: Ontology Based Bibliographic Information Retrieval in P2P Networks. DOI:10.4018/jdst.2010100105, 2010.