Non-Intrusive Load Monitoring: an Architecture and its evaluation for Power Electronics loads

被引：0

作者：

Renaux, Douglas P. B. ^{[1
]}

Erig Lima, Carlos R. ^{[1
]}

Pottker, Fabiana ^{[1
]}

Oroski, Elder ^{[1
]}

Lazzaretti, Andre E. ^{[1
]}

Linhares, Robson R. ^{[1
]}

Almeida, Andressa R. ^{[1
]}

Coelho, Adil O. ^{[1
]}

Hercules, Mateus C. ^{[1
]}

机构：

[1] Fed Univ Technol Parana UTFPR, Grad Sch Appl Comp PPGCA, Grad Sch Elect Engn & Ind Comp Sci CPGEI, Lab Embedded Syst Innovat & Technol LIT CITEC, BR-80230901 Curitiba, PR, Brazil

来源：

2018 IEEE INTERNATIONAL POWER ELECTRONICS AND APPLICATION CONFERENCE AND EXPOSITION (PEAC) | 2018年

关键词：

NILM; Non-Intrusive Load Monitoring; NILM Dataset; NILM Architecture; COOLL dataset;

D O I：

暂无

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：

NILM (Non-Intrusive Load Monitoring) may well become a widespread solution for diagnostic of Electrical Energy consumption available to every end user. Such a diagnostic may identify waste and improper use; it is also an important tool for energy management both by the residential users and by commercial/industrial users. An architecture for a NILM solution is proposed and evaluated. A comparison is performed among common NILM event detection algorithms and the algorithms proposed in this work. Of particular interest in this study is the detection and classification of power electronics loads, as they impose specific challenges in their detection and correct disaggregation (classification). Our proposed algorithm achieved 100% detection of on/off events for the loads in the COOLL dataset.

引用

页码：890 / 895

页数：6

共 50 条

[41] Non-intrusive load monitoring based on low frequency active power measurements
Dinesh, Chinthaka
Perera, Pramuditha
Godaliyadda, Roshan Indika
Ekanayake, Mervyn Parakrama B.
Ekanayake, Janaka
AIMS ENERGY, 2016, 4 (03) : 414 - 443
[42] A Dataset for Non-Intrusive Load Monitoring: Design and Implementation
Renaux, Douglas Paulo Bertrand
Pottker, Fabiana
Ancelmo, Hellen Cristina
Lazzaretti, Andre Eugenio
Lima, Carlos Raiumundo Erig
Linhares, Robson Ribeiro
Oroski, Elder
Nolasco, Lucas da Silva
Lima, Lucas Tokarski
Mulinari, Bruna Machado
da Silva, Jose Reinaldo Lopes
Omori, Julio Shigeaki
dos Santos, Rodrigo Braun
ENERGIES, 2020, 13 (20)
[43] Review on key techniques of non-intrusive load monitoring
Guo H.
Lu J.
Yang P.
Liu Z.
Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2021, 41 (01): : 135 - 144
[44] Deep Learning Application to Non-Intrusive Load Monitoring
Nguyen Viet Linh
Arboleya, Pablo
2019 IEEE MILAN POWERTECH, 2019,
[45] Non-Intrusive Load Monitoring Applied to AC Railways
Mariscotti, Andrea
ENERGIES, 2022, 15 (11)
[46] A Brief Review of Non-Intrusive Load Monitoring and Its Impact on Social Life
Gurbuz, Fethi Batincan
Bayindir, Ramazan
Bulbul, Halil Ibrahim
2021 9TH INTERNATIONAL CONFERENCE ON SMART GRID, ICSMARTGRID, 2021, : 289 - 294
[47] Detecting the novel appliance in non-intrusive load monitoring
Guo, Xiaochao
Wang, Chao
Wu, Tao
Li, Ruiheng
Zhu, Houyi
Zhang, Huaiqing
APPLIED ENERGY, 2023, 343
[48] Disaggregating Transform Learning for Non-Intrusive Load Monitoring
Gaur, Megha
Majumdar, Angshul
IEEE ACCESS, 2018, 6 : 46256 - 46265
[49] A survey of the research on non-intrusive load monitoring and disaggregation
Cheng X.
Li L.
Wu H.
Ding Y.
Song Y.
Sun W.
Dianwang Jishu/Power System Technology, 2016, 40 (10): : 3108 - 3117
[50] On the Non-Intrusive Load Monitoring in dwellings: a feasibility perspective
Fontana, Claudio
Sanseverino, Eleonora Riva
2021 21ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2021 5TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE), 2021,

← 1 2 3 4 5 →