[1] |
葛少云, 曹雨晨, 刘洪, 等. 考虑可靠性约束的综合能源微网供能能力评估[J]. 电力系统自动化, 2020,44(7):31-41.
|
|
GE Shaoyun, CAO Yuchen, LIU Hong, et al. Evaluation of energy supply capability for multi-energy microgrid considering reliability constraint[J]. Automation of Electric Power Systems, 2020,44(7):31-41.
|
[2] |
孙浩, 陈永华. 综合能源系统多能流联合仿真技术研究[J]. 华电技术, 2020,42(5):66-72.
|
|
SUN Hao, CHEN Yonghua. Research on multiple energy flow co-simulation technology applied integrated energy system[J]. Huadian Technology, 2020,42(5):66-72.
|
[3] |
杨晓巳, 陶新磊. 综合能源技术路线研究[J]. 华电技术, 2019,41(11):22-25.
|
|
YANG Xiaosi, TAO Xinlei. Research on integrated energy technical route[J]. Huadian Technology, 2019,41(11):22-25.
|
[4] |
王珺, 顾伟, 张成龙, 等. 智能社区综合能源优化管理研究[J]. 电力系统保护与控制, 2017,45(1):89-97.
|
|
WANG Jun, GU Wei, ZHANG Chenglong, et al. Research on integrated energy management for smart community[J]. Power System Protection and Control, 2017,45(1):89-97.
|
[5] |
肖建荣. 工业控制系统信息安全[M]. 北京: 电子工业出版社, 2015.
|
[6] |
YANG Y, WU F, LIU Y. Remote access: A residental power monitor and control system[J]. IEEE Potentials, 2015,34(4):18-23.
|
[7] |
郭鹤旋. 区块链在能源互联网安全机制上的应用研究[D]. 保定:华北电力大学, 2019.
|
[8] |
李存斌, 李小鹏, 田世明, 等. 能源互联网电力信息深度融合风险传递:挑战与展望[J]. 电力系统自动化, 2017,41(11):17-25.
|
|
LI Cunbin, LI Xiaopeng, TIAN Shiming, et al. Challenges and prospects of risk transmission in deep fusion of electric power and information for energy internet[J]. Automation of Electric Power Systems, 2017,41(11):17-25.
|
[9] |
解滨, 董新玉, 梁皓伟. 基于三支动态阈值K-means聚类的入侵检测算法[J]. 郑州大学学报(理学版), 2020,52(2):64-70.
|
|
XIE Bin, DONG Xinyu, LIANG Haowei. An algorithm of intrusion detection based on three-way dynamic threshold K-means clustering[J]. Journal of Zhengzhou University (Natural Science Edition), 2020,52(2):64-70.
|
[10] |
肖琦, 苏开宇. 基于随机森林的僵尸网络流量检测[J]. 微电子学与计算机, 2019,36(3):43-47.
|
|
XIAO Qi, SU Kaiyu. Botnet traffic detection based on random forest algorithm[J]. Microelectronics & Computer, 2019,36(3):43-47.
|
[11] |
LI Zhipeng, QIN Zheng, HUANG Kai, et al. Intrusion detection using convolutional neural networks for representation learning[C]// International Conference on Neural Information Processing. Heidelberg: Springer, 2017: 858-866.
|
[12] |
滕少华, 陈成, 霍颖翔. 小样本纠错的多层入侵检测分类研究[J]. 广东工业大学学报, 2020,37(3):9-16.
|
|
TENG Shaohua, CHEN Cheng, HUO Yingxiang. A multi-fold self correction small-sample classifier for intrusion detection[J]. Journal of Guangdong University of Technology, 2020,37(3):9-16.
|
[13] |
王蓉, 马春光, 武朋. 基于联邦学习和卷积神经网络的入侵检测方法[J]. 信息网络安全, 2020,20(4):47-54.
|
|
WANG Rong, MA Chunguang, WU Peng. An intrusion detection method based on federated learning and convolutional neural network[J]. Netinfo Security, 2020,20(4):47-54.
|
[14] |
冯文英, 郭晓博, 何原野, 等. 基于前馈神经网络的入侵检测模型[J]. 信息网络安全, 2019,12(9):101-105.
|
|
FENG Wenying, GUO Xiaobo, HE Yuanye, et al. Intrusion detection model based on feedforward neural network[J]. Netinfo Security, 2019,12(9):101-105.
|
[15] |
阿斯顿张, 李沐, 扎卡里, 等. 动手学深度学习[M]. 北京: 人民邮电出版社, 2019.
|
[16] |
李元诚, 曾婧. 基于改进卷积神经网络的电网假数据注入攻击检测方法[J]. 电力系统自动化, 2019,43(20):97-104.
|
|
LI Yuancheng, ZENG Jing. Improved convolutional neural based detection method for false data injection attack[J]. Automation of Electric Power Systems, 2019,43(20):97-104.
|
[17] |
何彦, 凌俊杰, 王禹林, 等. 基于长短时记忆卷积神经网络的刀具磨损在线监测模型[J]. 中国机械工程, 2020,31(16):1959-1967.
|
|
HE Yan, LING Junjie, WANG Yulin, et al. In-process tool wear monitoring model based on LSTM-CNN[J]. China Mechanical Engineering, 2020,31(16):1959-1967.
|
[18] |
何梦乙, 覃仁超, 刘建兰, 等. 基于Adam-BNDNN的网络入侵检测模型[J]. 计算机测量与控制, 2020,28(2):58-62.
|
|
HE Mengyi, QIN Renchao, LIU Jianlan, et al. Network intrusion detection model based on Adam-BNDNN[J]. Computer Measurement & Control, 2020,28(2):58-62.
|
[19] |
孙江山, 刘敏, 邓磊, 等. 基于自适应无迹卡尔曼滤波的配电网状态估计[J]. 电力系统保护与控制, 2018,46(11):1-7.
|
|
SUN Jiangshan, LIU Min, DENG Lei, et al. State estimation of distribution network based on AUKF[J]. Power System Protection and Control, 2018,46(11):1-7.
|
[20] |
潘正宁. 含分布式发电和储能装置的三相潮流算法[D]. 南京:东南大学, 2014.
|
[21] |
陈碧云, 李弘斌, 李滨. 伪量测建模与AUKF在配电网虚假数据注入攻击辨识中的应用[J]. 电网技术, 2019,43(9):3226-3236.
|
|
CHEN Biyun, LI Hongbin, LI Bin. Application research on pseudo measurement modeling and AUKF in FDIAs identification of distribution network[J]. Power System Technology, 2019,43(9):3226-3236.
|