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 14 条

[11] Adjusted Haar wavelet for application in the power systems disturbance analysis [J].