姓名：刘洋
职称：副教授/硕士研究生导师
专业：电力系统及其自动化
方向：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
地址：四川大学基础教学楼b座116室
邮编：610065
email：yang.liu@scu.edu.cn
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
论文：
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.
学术成果：
不成亦无果，尚需努力。
学术任职：
一些普通杂志的编委和审稿人