Real-time recognition and profiling of appliances through a single electricity sensor

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dc.contributor.author Ruzzelli, Antonio G.
dc.contributor.author Nicolas, C.
dc.contributor.author Schoofs, Anthony
dc.contributor.author O'Hare, G. M. P. (Greg M. P.)
dc.date.accessioned 2012-02-09T15:13:48Z
dc.date.available 2012-02-09T15:13:48Z
dc.date.copyright 2010 IEEE en
dc.date.issued 2010-06
dc.identifier.issn 978-1-4244-7150-8
dc.identifier.uri http://hdl.handle.net/10197/3505
dc.description Paper presented at Sensor Mesh and Ad Hoc Communications and Networks (SECON), 2010 7th Annual IEEE Communications Society Conference, Boston, Massachusetts, 21-25 June, 2010 en
dc.description.abstract Sensing, monitoring and actuating systems are expected to play a key role in reducing buildings overall energy consumption. Leveraging sensor systems to support energy efficiency in buildings poses novel research challenges in monitoring space usage, controlling devices, interfacing with smart energy meters and communicating with the energy grid. In the attempt of reducing electricity consumption in buildings, identifying individual sources of energy consumption is key to generate energy awareness and improve efficiency of available energy resources usage. Previous work studied several non-intrusive load monitoring techniques to classify appliances; however, the literature lacks of an comprehensive system that can be easily installed in existing buildings to empower users profiling, benchmarking and recognizing loads in real-time. This has been a major reason holding back the practice adoption of load monitoring techniques. In this paper we present RECAP: RECognition of electrical Appliances and Profiling in real-time. RECAP uses a single wireless energy monitoring sensor easily clipped to the main electrical unit. The energy monitoring unit transmits energy data wirelessly to a local machine for data processing and storage. The RECAP system consists of three parts: (1) Guiding the user for profiling electrical appliances within premises and generating a database of unique appliance signatures; (2) Using those signatures to train an artificial neural network that is then employed to recognize appliance activities (3) Providing a Load descriptor to allow peer appliance benchmarking. RECAP addresses the need of an integrated and intuitive tool to empower building owners with energy awareness. Enabling real-time appliance recognition is a stepping-stone towards reducing energy consumption and allowing a number of major applications including load-shifting techniques, energy expenditure breakdown per appliance, detection of power hungry and faulty appliances, and recognition of occupant activity. This paper describes the system design and performance evaluation in domestic environment. en
dc.description.sponsorship Science Foundation Ireland en
dc.format.extent 798271 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher IEEE 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 Real time recognition en
dc.subject Electricity sensor en
dc.subject Profiling en
dc.subject.lcsh Real-time data processing en
dc.subject.lcsh Detectors en
dc.subject.lcsh Electric apparatus and appliances--Energy consumption en
dc.title Real-time recognition and profiling of appliances through a single electricity sensor en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.internal.webversions Publisher's version en
dc.internal.webversions http://dx.doi.org/10.1109/SECON.2010.5508244 en
dc.status Peer reviewed en
dc.identifier.doi 10.1109/SECON.2010.5508244
dc.neeo.contributor Ruzzelli|Antonio G.|aut| en
dc.neeo.contributor Nicolas|C.|aut| en
dc.neeo.contributor Schoofs|Anthony|aut| en
dc.neeo.contributor O'Hare|G. M. P. (Greg M. P.)|aut| en
dc.description.admin ti, ab, co - TS 02.02.12 en


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