Household occupancy detection based on electricity consumption
| Main Authors: | Álvaro Lozano,, Alberto L. Barriuso,, Daniel H. de la Iglesia,, Juan F. de Paz, Gabriel Villarrubia |
|---|---|
| Format: | Proceeding |
| Bahasa: | eng |
| Terbitan: |
, 2018
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/2677514 |
| ctrlnum |
2677514 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Álvaro Lozano,</creator><creator>Alberto L. Barriuso,</creator><creator>Daniel H. de la Iglesia,</creator><creator>Juan F. de Paz</creator><creator>Gabriel Villarrubia</creator><date>2018-01-31</date><description>Through monitoring the power consumption of a house, it is possible to establish if someone is on it at a
particular time. Currently there are several approaches to determine the occupation of a home. There are
works that ad-dress the use of intrusive systems that require user interaction, while other works address the
non-intrusive use of sensors for presence detection. In this article, we propose the use of a sensor network for
measuring the electricity consumption of a family home. In particular, the use of a multi-agent system is
proposed for the intelligent management of the data generated by the deployed sensor network. Through nonintrusive
occupation monitoring algorithm, it can be determined when a house is occupied by users and when
it is empty.</description><description>This work has received funding from the European Union's Horizon 2020 research
and innovation program under the Marie Sklodowska-Curie grant agreement No 641794 (project
DREAM-GO).</description><identifier>https://zenodo.org/record/2677514</identifier><identifier>10.5281/zenodo.2677514</identifier><identifier>oai:zenodo.org:2677514</identifier><language>eng</language><relation>info:eu-repo/grantAgreement/EC/H2020/641794/</relation><relation>doi:10.5281/zenodo.2677513</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</rights><subject>demand response</subject><subject>load shiting</subject><subject>home energy management system</subject><subject>smart grid</subject><title>Household occupancy detection based on electricity consumption</title><type>Journal:Proceeding</type><type>Journal:Proceeding</type><recordID>2677514</recordID></dc>
|
| language |
eng |
| format |
Journal:Proceeding Journal |
| author |
Álvaro Lozano, Alberto L. Barriuso, Daniel H. de la Iglesia, Juan F. de Paz Gabriel Villarrubia |
| title |
Household occupancy detection based on electricity consumption |
| publishDate |
2018 |
| topic |
demand response load shiting home energy management system smart grid |
| url |
https://zenodo.org/record/2677514 |
| contents |
Through monitoring the power consumption of a house, it is possible to establish if someone is on it at a
particular time. Currently there are several approaches to determine the occupation of a home. There are
works that ad-dress the use of intrusive systems that require user interaction, while other works address the
non-intrusive use of sensors for presence detection. In this article, we propose the use of a sensor network for
measuring the electricity consumption of a family home. In particular, the use of a multi-agent system is
proposed for the intelligent management of the data generated by the deployed sensor network. Through nonintrusive
occupation monitoring algorithm, it can be determined when a house is occupied by users and when
it is empty. This work has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAM-GO). |
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2022-06-06T03:27:52Z |
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