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  5. Demo abstract : appliance load monitoring by power load disaggregation
 
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Demo abstract : appliance load monitoring by power load disaggregation

Author(s)
Schoofs, Anthony  
Sintoni, Alex  
O'Hare, G. M. P. (Greg M. P.)  
Ruzzelli, Antonio G.  
Uri
http://hdl.handle.net/10197/3447
Date Issued
2010-06
Date Available
2012-01-26T14:38:44Z
Abstract
Appliance load monitoring systems are designed to disaggregate the power load of a building in order to estimate the nature of individual loads, providing a real-time fine-grained recognition of active appliances. Monitoring non-intrusively appliances’ contributions to a given load enables a wide range of applications, ranging from electricity bill decomposition to accurate electricity user profiling. This work demonstrates a real implementation of such appliance load monitoring system. An intuitive graphical user interface is proposed to drive the system setup for profiling appliances’ signatures and for visualising the monitoring output.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2010 IEEE
Subjects

Load monitoring

Applicances

Energy monitoring

Subject – LCSH
Household appliances, Electric--Energy consumption
Electric power consumption--Measurement
DOI
10.1109/SECON.2010.5508225
Web versions
http://dx.doi.org/10.1109/SECON.2010.5508225
Language
English
Status of Item
Peer reviewed
Journal
2010 7th Annual IEEE Communications Society Conference on Sensor Mesh and Ad Hoc Communications and Networks (SECON) [proceedings]
Conference Details
Paper presented at the 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 21-25 June, 2010, Boston, Massachusetts
ISBN
978-1-4244-7151-5
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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SECONdemo-Schoofs.pdf

Size

1.03 MB

Format

Adobe PDF

Checksum (MD5)

d2e45733e394124417dec64579fe978e

Owning collection
Computer Science Research Collection
Mapped collections
CLARITY Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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