A Brief Review of Non-Intrusive Load Monitoring and Its Impact on Social Life

被引:7
|
作者
Gurbuz, Fethi Batincan [1 ]
Bayindir, Ramazan [1 ]
Bulbul, Halil Ibrahim [2 ]
机构
[1] Gazi Univ, Fac Technol, Dept Elect & Elect Engn, Ankara, Turkey
[2] Gazi Univ, Fac Educ, Dept Comp & Educ, Ankara, Turkey
关键词
NILM; Social Impact; Artificial Intelligent; Demand-Response; Load Monitoring; Smart Grid; APPLIANCE CLASSIFICATION; EVENT DETECTION; TIME-SERIES; RECOGNITION; ALGORITHM;
D O I
10.1109/ICSMARTGRID52357.2021.9551258
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
In recent years, many studies have been performed on the development of technology and the ease of data analysis. Due to the increase in energy demand and high energy costs, several new studies have been proposed. In this study, NILM (Non-Intrusive Load Monitoring) methods are examined according to their application areas, and the studies conducted in this field are classified. In studies with NILM, it is aimed to detect and classify electrical devices used in homes or high-power centers by monitoring them from a center. In this direction, with the monitoring of the devices used, the type of devices used can be determined by preventing the use of reactive power and its classification. With the continuous monitoring of the electrical energy passing through the network, leakage current detection can be made, and with the integration of renewable energy in future studies, the house can work in island mode in case of interruption. In addition, this study has brought a new social perspective to NILM by examining the studies conducted in recent years. Research has been conducted on the social impact of NILM on users. In addition, it is predicted that this study can be a fundamental article for comparing the effects of sensors on people's social lives with NILM methods.
引用
收藏
页码:289 / 294
页数:6
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