Options
ANNOT : Automated electricity data annotation using wireless sensor networks
Date Issued
2010-06
Date Available
2010-08-18T13:22:37Z
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE Computer Society
Copyright (Published Version)
2010 IEEE
Subject – LCSH
Wireless sensor networks
Electric power consumption--Measurement
Real-time data processing
Electric power systems--Load dispatching
Web versions
Language
English
Status of Item
Peer reviewed
Part of
2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON) [proceedings]
Conference Details
Paper at 7th Annual IEEE Communications Society Conference on Sensor Mesh and Ad Hoc Communications and Networks (SECON '10), June 21-25, 2010, Boston
ISBN
978-1-4244-7150-8
This item is made available under a Creative Commons License
File(s)
Owning collection
Scopus© citations
45
Acquisition Date
Mar 28, 2024
Mar 28, 2024
Views
2116
Acquisition Date
Mar 28, 2024
Mar 28, 2024
Downloads
2875
Last Week
4
4
Last Month
20
20
Acquisition Date
Mar 28, 2024
Mar 28, 2024