Poster Abstract: A Design of Data-Driven Energy-Use Profiling in Residential Buildings

被引：1
|
作者：
Musa, Ardiansyah [1 ]
Nugraha, Gde Dharma [1 ]
Ramli, Kalamullah [2 ]
Choi, Deokjai [1 ]
机构：
[1] Chonnam Natl Univ, Sch Elect & Comp Engn, Gwangju, South Korea
[2] Univ Indonesia, Dept Elect Engn, Depok, Indonesia
来源：
BUILDSYS'18: PROCEEDINGS OF THE 5TH CONFERENCE ON SYSTEMS FOR BUILT ENVIRONMENTS | 2018年
关键词：
D O I：
10.1145/3276774.3281021
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we designed a method for data-driven energy-use profiling using smart-meter data in residential buildings. The process includes a model-based energy disaggregation, appliance rate-ofuse statistics, and inter-appliances association mining. Our goal is to provide the energy-use profile which includes what appliances, when did they use, and the relationship between them. These results can be used for further help in the design of building energy management systems for adaptive and transactive energy control.
引用
收藏
页码：200 / 201
页数：2
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