Overview of Non-Intrusive Load Monitoring A way to energy wise consumption

被引:0
作者
Antonio Hoyo-Montano, Jose [1 ]
Aberto Pereyda-Pierre, Carlos [1 ]
Manuel Tarin-Fontes, Jesus [1 ]
Naim Leon-Ortega, Jesus [1 ]
机构
[1] Inst Tecnol Hermosillo, Grad Studies & Res Div, Hermosillo, Sonora, Mexico
来源
PROCEEDINGS OF THE 2016 13TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS (CIEP) | 2016年
关键词
Power Signature; NILM; disaggregation algorithms; energy management; DISAGGREGATION; ELECTRICITY;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Global warming and climate change effects have been motivators of several laws and programs around the world to impulse energy efficiency and savings. Energy efficiency and/or savings actions require precise knowledge of energy consumption profiles from customers. These profiles are formed with individual power signature consumption of devices operating in a building installation. Individual meters in each device are expensive and troublesome for installation, so a less expensive and simpler solution is required to construct an energy profile. Smart Meters with Non-Intrusive Load Monitoring (NILM) capabilities can be used. NILM systems can disaggregate individual power signatures and help identify devices with high power consumption and their times of operation. NILM systems are implemented using different algorithms, some simpler than others, ranging from basic Power Analysis, Harmonic Spectrum Analysis and Wavelet Transform Analysis, through hybrid methods mixing solutions. This paper provides an overview of the context and solutions developed for the implementation of NILM systems.
引用
收藏
页码:221 / 226
页数:6
相关论文
共 24 条
  • [11] Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems
    Figueiredo, Marisa
    de Almeida, Ana
    Ribeiro, Bernardete
    [J]. NEUROCOMPUTING, 2012, 96 : 66 - 73
  • [12] NONINTRUSIVE APPLIANCE LOAD MONITORING
    HART, GW
    [J]. PROCEEDINGS OF THE IEEE, 1992, 80 (12) : 1870 - 1891
  • [13] Commercial Building Energy Saver: An energy retrofit analysis toolkit
    Hong, Tianzhen
    Piette, Mary Ann
    Chen, Yixing
    Lee, Sang Hoon
    Taylor-Lange, Sarah C.
    Zhang, Rongpeng
    Sun, Kaiyu
    Price, Phillip
    [J]. APPLIED ENERGY, 2015, 159 : 298 - 309
  • [14] Honorable Congreso de la Union, 2012, LEY GEN CAMB CLIM, P42
  • [15] Hsueh-Hsien Chang, 2010, WSEAS Transactions on Systems, V9, P498
  • [16] Load Signature Study-Part I: Basic Concept, Structure, and Methodology
    Liang, Jian
    Ng, Simon K. K.
    Kendall, Gail
    Cheng, John W. M.
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2010, 25 (02) : 551 - 560
  • [17] Load Signature Study-Part II: Disaggregation Framework, Simulation, and Applications
    Liang, Jian
    Ng, Simon K. K.
    Kendall, Gail
    Cheng, John W. M.
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2010, 25 (02) : 561 - 569
  • [18] Marcu M, 2012, IEEE IMTC P, P117
  • [19] An unsupervised training method for non-intrusive appliance load monitoring
    Parson, Oliver
    Ghosh, Siddhartha
    Weal, Mark
    Rogers, Alex
    [J]. ARTIFICIAL INTELLIGENCE, 2014, 217 : 1 - 19
  • [20] Nonintrusive disaggregation of residential air-conditioning loads from sub-hourly smart meter data
    Perez, Krystian X.
    Cole, Wesley J.
    Rhodes, Joshua D.
    Ondeck, Abigail
    Webber, Michael
    Baldea, Michael
    Edgar, Thomas F.
    [J]. ENERGY AND BUILDINGS, 2014, 81 : 316 - 325