Review of Non-intrusive Load Appliance Monitoring

被引:0
|
作者
Dan, Wang [1 ]
Li, Huang Xiao [1 ]
Ce, Ye Shu [1 ]
机构
[1] Xihua Univ, Sch Elect & Elect Informat, Chengdu, Sichuan, Peoples R China
关键词
Non-intrusive load appliance monitoring; energy management system; feature evtraction; load identification;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Non-intrusive load appliance monitoring,an important part of energy management system, is the process of disaggregating household's total electricity consumption into its contributing appliances,which facilitates analyzing user's behavior, providing users with electricity usage detail list and providing data support for electricity company's electricity price policy making and client management. In this paper,the current research status of non-intrusive load disaggregation and monitoring both at home and abroad are reviewed in the following aspects:technical framework,data measurement and preprocessing,event detection,feature extraction,load identification. Finally,what need to he improved in recent research, and the future direction of research are analyzed.
引用
收藏
页码:18 / 23
页数:6
相关论文
共 50 条
  • [21] Comparative Study of Event Detection Methods for Non-intrusive Appliance Load Monitoring
    Yang, Chuan Choong
    Soh, Chit Siang
    Yap, Vooi Voon
    [J]. INTERNATIONAL CONFERENCE ON APPLIED ENERGY, ICAE2014, 2014, 61 : 1840 - 1843
  • [22] Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring
    Tanoni, Giulia
    Principi, Emanuele
    Squartini, Stefano
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2023, 14 (01) : 440 - 452
  • [23] Multi-label LSTM autoencoder for non-intrusive appliance load monitoring
    Verma, Sagar
    Singh, Shikha
    Majumdar, Angshul
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2021, 199
  • [24] Testing Applicability of Virtual Stochastic Sensors for Non-Intrusive Appliance Load Monitoring
    Krull, Claudia
    Thiel, Marcus
    Horton, Graham
    [J]. ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE, 2018, 337 : 119 - 134
  • [25] Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring
    Faustine, Anthony
    Pereira, Lucas
    Klemenjak, Christoph
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (01) : 398 - 406
  • [26] Phase noise as power characteristic of individual appliance for non-intrusive load monitoring
    Lee, D.
    [J]. ELECTRONICS LETTERS, 2018, 54 (16) : 994 - 995
  • [27] A Survey on the Non-intrusive Load Monitoring
    Deng X.-P.
    Zhang G.-Q.
    Wei Q.-L.
    Peng W.
    Li C.-D.
    [J]. Zidonghua Xuebao/Acta Automatica Sinica, 2022, 48 (03): : 644 - 663
  • [28] EVALUATION OF NON-INTRUSIVE LOAD MONITORING ALGORITHMS FOR APPLIANCE-LEVEL ANOMALY DETECTION
    Rashid, Haroon
    Stankovic, Vladimir
    Stankovic, Lina
    Singh, Pushpendra
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 8325 - 8329
  • [29] Life Pattern Sensor with Non-intrusive Appliance Monitoring
    Katsukura, Makoto
    Nakata, Masanori
    Itou, Yoshiaki
    Kushiro, Noriyuki
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, 2009, : 195 - 196
  • [30] Energy consumption prediction of a smart home using non-intrusive appliance load monitoring
    Lazhar Chabane
    Said Drid
    Larbi Chrifi-Alaoui
    Laurant Delahoche
    [J]. International Journal of System Assurance Engineering and Management, 2024, 15 : 1231 - 1244