REAL-TIME NON-INTRUSIVE APPLIANCE LOAD MONITOR - Feedback System for Single-point per Appliance Electricity Usage

Tuomo Alasalmi, Jaakko Suutala, Juha Röning

Abstract

External single-point appliance load monitoring gives detailed information about appliance electricity use without expensive or intrusive installation. This is vital for a wide distribution of practical solutions. Current research has focused on improving the load disaggregation algorithms, whereas consumers would benefit most from a good feedback system, even if the energy usage estimates are not perfect. A good feedback system can motivate consumers to save energy from 10% to 15%. In an ongoing project on energy efficient living at the University of Oulu, we have developed a real-time application using a non-intrusive appliance load monitoring algorithm. The algorithm is based on thresholding, kNN-classifier, and on-and-off event matching. Accuracy of the developed system is in line with other similar work and provides a real-time operation. In a test setting, events were detected with 96.1% accuracy and the total energy estimate differed from the actual consumption by 11.3%. With such a solution, consumers can easily see the energy used by different appliances and can make energy saving decisions because they can see the effects of their actions immediately. This kind of technologies will play a key role if ever increasing energy saving targets set by international contracts are to be met.

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Paper Citation


in Harvard Style

Alasalmi T., Suutala J. and Röning J. (2012). REAL-TIME NON-INTRUSIVE APPLIANCE LOAD MONITOR - Feedback System for Single-point per Appliance Electricity Usage . In Proceedings of the 1st International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS, ISBN 978-989-8565-09-9, pages 203-208. DOI: 10.5220/0003951802030208


in Bibtex Style

@conference{smartgreens12,
author={Tuomo Alasalmi and Jaakko Suutala and Juha Röning},
title={REAL-TIME NON-INTRUSIVE APPLIANCE LOAD MONITOR - Feedback System for Single-point per Appliance Electricity Usage},
booktitle={Proceedings of the 1st International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,},
year={2012},
pages={203-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003951802030208},
isbn={978-989-8565-09-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,
TI - REAL-TIME NON-INTRUSIVE APPLIANCE LOAD MONITOR - Feedback System for Single-point per Appliance Electricity Usage
SN - 978-989-8565-09-9
AU - Alasalmi T.
AU - Suutala J.
AU - Röning J.
PY - 2012
SP - 203
EP - 208
DO - 10.5220/0003951802030208