近期部分论文专著：
[1]jingyi zhang, yonghong luo, boya wang, chao lu, jennie si, jie song. deep reinforcement learning for load shedding against short-term voltage instability in large power systems,ieee transactions on neural network and learning system(early access)
[2]ying wang, chao lu, peixuan wu, xinran zhang, et al. online realization of an ambient signal based load modeling algorithm and its application in field measurement data,ieee transactions on industrial electronics(early access)
[3]lipeng zhu, david hill, chao lu. auto-starting semi-supervised learning-based identification of synchrophasor data anomalies,ieee internet of things journal(early access)
[4]lipeng zhu, david hill, chao lu. semi-supervised ensemble learning based framework for accelerating power system stability knowledge base generation,ieee transactions on power systems(early access)
[5]yonghong luo, chao lu, lipeng zhu, jie song. graph convolutional network based interpretable machine learning scheme in smart grids,ieee transactions on automation science and engineering(early access)
[6]xinran zhang, chao lu, ying wang, qiantu ruan, hongbo ye, weihong wang. identifiability analysis of load model by estimating parameters’ confidential intervals,csee journal of power and energy systems(early access)
[7]ziming li, xiaoqian li, yingdong wei, chao lu, yunzhi lin, et al. ground fault analysis and grounding method of static power converters in flexible ac traction power supply systems,ieee transactions on power electronics, may 2022, 37(5):5535-5546.
[8]李明睿，李笑倩，魏应冬，李伟瑞，陆超，任立，邵文君.一种非隔离混合型模块化多电平直流互联变流器，中国电机工程学报，2021，41(19):6716-6723.
[9]张宁，马国明，关永刚，胡军，陆超，文劲宇，程时杰，陈维江，何金良.全景信息感知及智慧电网，中国电机工程学报，2021，41(4):1275-1283.
[10]xinran zhang, david hill, chao lu, yue song.a hierarchical framework for ambient signals based load modeling: exploring the hidden quasi-convexity,ieee transactions on power systems, nov. 2021, 36(6):5780-5791.
[11]jian guo, hong liang, songpu ai, chao lu, haochen hua, junwei cao. improved approximate minimum degree ordering method and its application for electrical power network analysis and computation,tsinghua science and technology, aug. 2021, 26(4):464-474
[12]yonghong luo, chao lu, lipeng zhu, jie song.data-driven short-term voltage stability assessment based on spatial-temporal graph convolutional network,international journal of electrical power & energy systems, sep. 2021, 130:1-10
[13]lipeng zhu, david hill, chao lu. intelligent short-term voltage stability assessment via spatial attention rectified rnn learning,ieee transactions on industrial informatics, oct. 2021, 17(10):7005-7016
[14]陈雪梅，陆超，刘杰，宋洁，吴京涛.考虑调频性能考核的储能-机组联合调频控制策略，中国电机工程学报，2021，41(10):3383-3391.
[15]吴沛萱，叶洪波，崔勇，陆超，王颖.主导负荷参数类噪声辨识的数据处理方法，电网技术，2021，45(06):2335-2341.
[16]xiaoqian li, ziming li, biao zhao, chao lu, qiang song, et al. hvdc reactor reduction method based on virtual reactor fault current limiting control of mmc.ieee transactions on industrial electronics, dec. 2020, 67(12):9991-10000.
[17]王颖，吴沛萱，苏寅生，陆超，张欣然.类噪声辨识负荷参数的实际电网校验方法.电网技术，2020，44(02):697-703.
[18]innocent kamwa, chao lu, lipeng zhu. monitoring and control using synchrophasors in power systems with renewables,iet press, july 2020.pages: 478, isbn-13: 978-1-78561-477-4, eisbn: 978-1-78561-478-1
[19]xinran zhang, chao lu, junjie lin, ying wang. experimental test of pmu measurement errors and the impact on load model parameter identification.iet generation, transmission and distribution, oct. 2020, 14(20):4593-4604.
[20]xinran zhang, chao lu, ying wang. a two-stage framework for ambient signal based load model parameter identification,international journal of electrical power & energy systems, oct. 2020, 121:106064, 1-10.
[21]lipeng zhu, chao lu, yonghong luo. time series data-driven batch assessment of power system short-term voltage security,ieee transactions on industrial informatics, dec. 2020, 16(12):7306-7317.
[22]lipeng zhu, david hill, chao lu. hierarchical deep learning machine for power system online transient stability prediction.ieee transactions on power systems, may 2020, 35(3): 2399-2411.
[23]yinfeng wang, chao lu, innocent kamwa, chen fang, ping ling. an adaptive filters based pmu algorithm for both steady-state and dynamic conditions in distribution networks.international journal of electrical power & energy systems, may, 2020.
[24]lipeng zhu, chao lu, innocent kamwa, haibo zeng. spatial-temporal feature learning in smart grids: a case study on short-term voltage stability assessment.ieee transactions on industrial informatics, mar.2020, 16(3): 1470-1482.
[25]xinran zhang, david hill, chao lu. identification of composite demand side model with distributed photovoltaic generation and energy storage.ieee transactions on sustainable energy,jan. 2020, 11(1):326-336.
全部教师