ZigBee-Based Real-Time Energy Disaggregation System Using Factorial Hidden Markov Model

被引：0
|
作者：
Choi, Kwang-Soon [1 ]
Yang, Bo-Won [1 ]
机构：
[1] Korea Elect Technol Inst, Realist Media Platform Res Ctr, Seoul, South Korea
来源：
2016 INTERNATIONAL CONFERENCE ON ENVIRONMENT, CLIMATE CHANGE AND SUSTAINABLE DEVELOPMENT (ECCSD 2016) | 2016年
关键词：
Real-time energy disaggregation; Non-intrusive load monitoring; Factorial hidden Markov model; ZigBee smart plug; Energy monitoring system;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Energy consumption data of individual appliances at home can be obtained by nonintrusive appliance load monitoring (NILM) which aims at disaggregating total amount of power consumption into that of each appliance. NILM can be implemented utilizing pattern recognition algorithms, one of which is Factorial Hidden Markov Model (FHMM) that was employed in previous researches. In spite of the known importance of real-time disaggregation system, it has not been actively studied compared to the batch system. This study suggests a prototype of real-time NILM system via ZigBee smart plug and FHMM algorithm.
引用
收藏
页码：275 / 279
页数：5
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