Poster abstract: A design of data-driven energy-use profiling in residential buildings

Ardiansyah Musa, I Gde Dharma Nugraha, Deokjai Choi, Kalamullah Ramli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationBuildSys 2018 - Proceedings of the 5th Conference on Systems for Built Environments
EditorsGowri Sankar Ramachandran, Nipun Batra
PublisherAssociation for Computing Machinery, Inc
Pages200-201
Number of pages2
ISBN (Electronic)9781450359511
DOIs
Publication statusPublished - 7 Nov 2018
Event5th ACM International Conference on Systems for Built Environments, BuildSys 2018 - Shenzen, China
Duration: 7 Nov 20188 Nov 2018

Publication series

NameBuildSys 2018 - Proceedings of the 5th Conference on Systems for Built Environments

Conference

Conference5th ACM International Conference on Systems for Built Environments, BuildSys 2018
CountryChina
CityShenzen
Period7/11/188/11/18

Fingerprint Dive into the research topics of 'Poster abstract: A design of data-driven energy-use profiling in residential buildings'. Together they form a unique fingerprint.

Cite this