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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Elafoudi, G. Stankovic, L. Stankovic, V. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK (Elafoudi, G.; Stankovic, L.; Stankovic, V.) |
| Abstract | Non-intrusive appliance load monitoring (NALM), also called load disaggregation, is a method for isolating the energy consumption of individual appliances from an overall household energy consumption. Traditionally, NALM techniques are based on measuring several electrical parameters at high sampling rates, which increases the meter cost and communications and storage overhead. In this paper, we propose a low-complexity disaggregation method based on Dynamic Time Warping algorithm that uses only active power aggregate smart meter data, captured at a low frequency, for training and disaggregation. Experimental results are provided for three households using data collected during two months, showing which individual appliances were used and when. Average recognition accuracy of 85% was obtained. |
| Starting Page | 36 |
| Ending Page | 39 |
| File Size | 112730 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479928903 |
| DOI | 10.1109/ISCCSP.2014.6877810 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-21 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training NALM Home appliances Accuracy Load Signature Disaggregation Smart meters Libraries Dynamic Time Warping Sensors Smart Meter Monitoring |
| Content Type | Text |
| Resource Type | Article |
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