Distributed dynamic load identification based on LSTM deep learning network

被引：0
|
作者：
Guo, Anfeng [1 ]
Wu, Shaoqing [1 ,2 ]
机构：
[1] School of Civil Engineering, Southeast University, Nanjing,211189, China
[2] Jiangsu Provincial Key Lab of Engineering Mechanics, Southeast University, Nanjing,211189, China
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2024年 / 43卷 / 11期
关键词：
Compendex;
D O I：
10.13465/j.cnki.jvs.2024.11.015
中图分类号：
学科分类号：
摘要：
Time domain analysis
引用
收藏
页码：126 / 134
相关论文
共 50 条
  • [21] An ensemble deep learning model for short-term load forecasting based on ARIMA and LSTM
    Tang, Lingling
    Yi, Yulin
    Peng, Yuexing
    2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CONTROL, AND COMPUTING TECHNOLOGIES FOR SMART GRIDS (SMARTGRIDCOMM), 2019,
  • [22] Deep regression adaptation networks with model-based transfer learning for dynamic load identification in the frequency domain
    Wang, Cheng
    Chen, Delei
    Chen, Jianwei
    Lai, Xiongming
    He, Ting
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2021, 102
  • [23] Distributed Graph Database Load Balancing Method Based on Deep Reinforcement Learning
    Sha, Shuming
    Guo, Naiwang
    Luo, Wang
    Zhang, Yong
    CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 79 (03): : 5105 - 5124
  • [24] WILDFIRE MONITRING BASED ON LSTM AND DEEP LEARNING
    Zhang, Haoyu
    Zheng, Zezhong
    Wen, Gang
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 2682 - 2685
  • [25] Feature extraction and identification of stationary random dynamic load using deep neural network
    Yang T.
    Yang Z.
    Liang S.
    Kang Z.
    Jia Y.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2022, 43 (09):
  • [26] Deep Learning LSTM based Ransomware Detection
    Maniath, Sumith
    Ashok, Aravind
    Poornachandran, Prabaharan
    Sujadevi, V. G.
    Sankar, Prem A. U.
    Jan, Srinath
    2017 RECENT DEVELOPMENTS IN CONTROL, AUTOMATION AND POWER ENGINEERING (RDCAPE), 2017, : 442 - 446
  • [27] Distributed Optical Fiber Damage Identification Method Based on Deep Learning
    Li J.
    Zhang J.
    Huang N.
    Li T.
    Xu H.
    Xia Z.
    Wu Z.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2022, 58 (08): : 88 - 95
  • [28] A dynamic load balancing method based on network delay for large distributed systems
    Nishimura, Kenji
    Ueno, Hitoshi
    Yamamoto, Miki
    Ikeda, Hiromasa
    Electronics and Communications in Japan, Part I: Communications (English translation of Denshi Tsushin Gakkai Ronbunshi), 2001, 84 (06): : 11 - 21
  • [29] Marine Distributed Radar Signal Identification and Classification Based on Deep Learning
    Liu, Chang
    Antypenko, Ruslan
    Sushko, Iryna
    Zakharchenko, Oksana
    Wang, Ji
    TRAITEMENT DU SIGNAL, 2021, 38 (05) : 1541 - 1548
  • [30] An optimized LSTM-based deep learning model for anomaly network intrusion detection
    Nitu Dash
    Sujata Chakravarty
    Amiya Kumar Rath
    Nimay Chandra Giri
    Kareem M. AboRas
    N. Gowtham
    Scientific Reports, 15 (1)
12345