Non-Intrusive Load Monitoring: A Review

被引:60
|
作者
Schirmer, Pascal A. [1 ,2 ]
Mporas, Iosif [1 ]
机构
[1] Univ Hertfordshire, Sch Engn & Comp Sci, Hatfield AL10 9AB, England
[2] BMW AG, Dept Power Elect, D-80809 Munich, Germany
关键词
Energy consumption; Load monitoring; Task analysis; Hidden Markov models; Taxonomy; Feature extraction; Smart grids; Energy disaggregation; non-intrusive load monitoring (NILM); smart meter; smart grid; ENERGY MANAGEMENT-SYSTEMS; IDENTIFICATION ALGORITHM; SOURCE SEPARATION; NEURAL-NETWORK; DISAGGREGATION; NILM; SIGNATURES; TRANSFORM; STATE;
D O I
10.1109/TSG.2022.3189598
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The rapid development of technology in the electrical energy sector within the last 20 years has led to growing electric power needs through the increased number of electrical appliances and automation of tasks. In parallel the global climate protection goals, energy conservation and efficient energy management arise interest for reduction of the overall energy consumption. These requirements have led to the recent adoption of smart-meters and smart-grids, as well as to the rise of Load Monitoring (LM) using energy disaggregation, also referred to as Non-Intrusive Load Monitoring (NILM), which enables appliance-specific energy monitoring by only observing the aggregated energy consumption of a household. The real-time information on appliance level can be used to get deeper insights in the origin of energy consumption and to make optimization, strategic load scheduling and demand management feasible. The three main contributions are as follows: First, a generalized up-to-date review of NILM approaches including a high-level taxonomy of NILM methodologies is provided. Second, previously published results are grouped based on the experimental setup which allows direct comparison. Third, the article is accompanied by a software implementation of the described NILM approaches.
引用
收藏
页码:769 / 784
页数:16
相关论文
共 50 条
  • [1] Review of Non-intrusive Load Appliance Monitoring
    Dan, Wang
    Li, Huang Xiao
    Ce, Ye Shu
    [J]. PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018), 2018, : 18 - 23
  • [2] Non-Intrusive Load Monitoring
    Fortuna, Luigi
    Buscarino, Arturo
    [J]. SENSORS, 2022, 22 (17)
  • [3] Review on key techniques of non-intrusive load monitoring
    Guo, Hongxia
    Lu, Jinwei
    Yang, Ping
    Liu, Zejian
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2021, 41 (01): : 135 - 144
  • [4] A Survey on the Non-intrusive Load Monitoring
    Deng, Xiao-Ping
    Zhang, Gui-Qing
    Wei, Qing-Lai
    Peng, Wei
    Li, Cheng-Dong
    [J]. Zidonghua Xuebao/Acta Automatica Sinica, 2022, 48 (03): : 644 - 663
  • [5] Non-Intrusive Load Monitoring in industrial settings: A systematic review
    Tanoni, Giulia
    Principi, Emanuele
    Squartini, Stefano
    [J]. Renewable and Sustainable Energy Reviews, 2024, 202
  • [6] SmartM: A Non-intrusive Load Monitoring Platform
    Liu, Xiufeng
    Bolwig, Simon
    Nielsen, Per Sieverts
    [J]. BUSINESS INFORMATION SYSTEMS WORKSHOPS, BIS 2019, 2019, 373 : 424 - 434
  • [7] PATH SIGNATURES FOR NON-INTRUSIVE LOAD MONITORING
    Moore, Paul
    Iliant, Theodor-Mihai
    Ion, Filip-Alexandru
    Wu, Yue
    Lyons, Terry
    [J]. 2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2022, : 3808 - 3812
  • [8] An Overview of Non-Intrusive Load Monitoring Methodologies
    Abubakar, Isiyaku
    Khalid, S. N.
    Mustafa, M. W.
    Shareef, Hussain
    Mustapha, Mamunu
    [J]. 2015 IEEE CONFERENCE ON ENERGY CONVERSION (CENCON), 2015, : 54 - 59
  • [9] Thresholding methods in non-intrusive load monitoring
    Daniel Precioso
    David Gómez-Ullate
    [J]. The Journal of Supercomputing, 2023, 79 : 14039 - 14062
  • [10] Basic Summary of Non-intrusive Load Monitoring
    Zhang, Lu
    Zhu, Lin
    [J]. PROCEEDINGS OF 2019 IEEE 10TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2019), 2019, : 372 - 376