Non-intrusive Load Identification Algorithm Based on Feature Fusion and Deep Learning

被引:0
|
作者
Wang, Shouxiang [1 ]
Guo, Luyang [1 ]
Chen, Haiwen [1 ]
Deng, Xinyu [1 ]
机构
[1] Key Laboratory of the Ministry of Education on Smart Power Grids, Tianjin University, Tianjin,300072, China
关键词
25;
D O I
10.7500/AEPS20190625010
中图分类号
学科分类号
摘要
引用
收藏
页码:103 / 110
相关论文
共 50 条
  • [1] Non-intrusive Load Disaggregation Based on Deep Learning and Multi-feature Fusion
    Liu, Hang
    Liu, Chunyang
    Tian, Lijun
    Zhao, Haoran
    Liu, Junwei
    [J]. 2021 3RD INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS (SPIES 2021), 2021, : 210 - 215
  • [2] Adaptive Non-Intrusive Load Monitoring Based on Feature Fusion
    Kang, Ju-Song
    Yu, Miao
    Lu, Lingxia
    Wang, Bingnan
    Bao, Zhejing
    [J]. IEEE SENSORS JOURNAL, 2022, 22 (07) : 6985 - 6994
  • [3] Research on non-intrusive unknown load identification technology based on deep learning
    Yin, Bo
    Zhao, Liwen
    Huang, Xianqing
    Zhang, Ying
    Du, Zehua
    [J]. International Journal of Electrical Power and Energy Systems, 2021, 131
  • [4] Research on non-intrusive unknown load identification technology based on deep learning
    Yin, Bo
    Zhao, Liwen
    Huang, Xianqing
    Zhang, Ying
    Du, Zehua
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 131
  • [5] Non-intrusive residential load identification based on load feature matrix and CBAM-BiLSTM algorithm
    Lin, Shunfu
    Zhao, Bing
    Zhan, Yinfeng
    Yu, Junsu
    Bian, Xiaoyan
    Li, Dongdong
    [J]. FRONTIERS IN ENERGY RESEARCH, 2024, 12
  • [6] Non-Intrusive Load Monitoring (NILM): Unsupervised Machine Learning and Feature Fusion
    Bernard, Timo
    Verbunt, Martin
    vom Boegel, Gerd
    Wellmann, Thorsten
    [J]. 2018 INTERNATIONAL CONFERENCE ON SMART GRID AND CLEAN ENERGY TECHNOLOGIES (ICSGCE), 2018, : 174 - 180
  • [7] A deep learning based non-intrusive household load identification for smart grid in China
    Chen, Chen
    Gao, Pinghang
    Jiang, Jiange
    Wang, Hao
    Li, Pu
    Wan, Shaohua
    [J]. COMPUTER COMMUNICATIONS, 2021, 177 : 176 - 184
  • [8] A Non-intrusive home load identification method based on adaptive reinforcement learning algorithm
    Li, Haoyang
    [J]. 2020 6TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, CONTROL AND ROBOTICS (EECR 2020), 2020, 853
  • [9] Non-Intrusive Load Monitoring Based on an Efficient Deep Learning Model With Local Feature Extraction
    Zhou, Kaile
    Zhang, Zhiyue
    Lu, Xinhui
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 20 (07) : 9497 - 9507
  • [10] Effective Feature Selection and Deep Learning-Based Classification for Non-Intrusive Load Monitoring
    Barbhuyan, Mamoon Elahi
    Goswami, Pradyut Kumar
    [J]. ELECTRIC POWER COMPONENTS AND SYSTEMS, 2023, 51 (19) : 2293 - 2306