ANNOT : Automated electricity data annotation using wireless sensor networks

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dc.contributor.author Schoofs, Anthony
dc.contributor.author Guerrieri, A.
dc.contributor.author Delaney, Declan T.
dc.contributor.author O'Hare, G. M. P. (Greg M. P.)
dc.contributor.author Ruzzelli, Antonio G.
dc.date.accessioned 2010-08-18T13:22:37Z
dc.date.available 2010-08-18T13:22:37Z
dc.date.copyright 2010 IEEE en
dc.date.issued 2010-06
dc.identifier.isbn 978-1-4244-7150-8
dc.identifier.uri http://hdl.handle.net/10197/2398
dc.description Paper at 7th Annual IEEE Communications Society Conference on Sensor Mesh and Ad Hoc Communications and Networks (SECON '10), June 21-25, 2010, Boston en
dc.description.abstract Recent advances in low-power wireless networking have enabled remote and nonintrusive access to households’ electric meter readings, allowing direct real-time feedback on electricity consumption to home owners and energy providers. Fine-grained electricity billing based on appliance power load monitoring has been investigated for more than two decades, but has not yet witnessed wide commercial acceptance. In this paper, we argue that the required human supervision for profiling and calibrating appliance load monitoring systems is a key reason preventing large-scale commercial roll-outs.We propose ANNOT, a system to automate electricity data annotation leveraging cheap wireless sensor nodes. Characteristic sensory stimuli captured by sensor nodes placed next to appliances are translated into appliance operating state and correlated to the electricity data, autonomously generating the annotation of electricity data with appliance activity. The system is able to facilitate the acquisition of appliance signatures, training data and validate the monitoring output. We validate the concept by integrating the automated annotation system to the RECAP appliance load monitoring system. en
dc.description.sponsorship Science Foundation Ireland en
dc.format.extent 891044 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher IEEE Computer Society en
dc.relation.ispartof 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON) [proceedings] en
dc.relation.requires CLARITY Research Collection en
dc.rights Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Data annotation en
dc.subject Load monitoring en
dc.subject Wireless sensor networks en
dc.subject Electricity monitoring en
dc.subject.lcsh Wireless sensor networks en
dc.subject.lcsh Electric power consumption--Measurement en
dc.subject.lcsh Real-time data processing en
dc.subject.lcsh Electric power systems--Load dispatching en
dc.title ANNOT : Automated electricity data annotation using wireless sensor networks en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.internal.webversions Publisher's version
dc.internal.webversions http://dx.doi.org/10.1109/SECON.2010.5508248
dc.status Peer reviewed en
dc.identifier.doi 10.1109/SECON.2010.5508248
dc.neeo.contributor Schoofs|Anthony|aut| en
dc.neeo.contributor Guerrieri|A.|aut| en
dc.neeo.contributor Delaney|Declan T.|aut| en
dc.neeo.contributor O'Hare|G. M. P. (Greg M. P.)|aut| en
dc.neeo.contributor Ruzzelli|Antonio G.|aut| en
dc.description.admin Conference website - http://www.ieee-secon.org/. Paper may be published in IEEE SEECON 2010 Conference Proceedings and in IEEE Xplore. If so, the current version will need be to replaced with the published version plus set text. DG 08/07/10 au, ti, ke - TS 28/07/10 Published details added 15/3/11 OR en


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