Non-intrusive appliance load monitoring using low-resolution smart meter data

Tools

Liao, Jing and Elafoudi, G. and Stankovic, L. and Stankovic, V. (2014) Non-intrusive appliance load monitoring using low-resolution smart meter data. In: IEEE International Conference on Smart Grid Communications, 2014-11-03 - 2014-11-06. (https://doi.org/10.1109/SmartGridComm.2014.7007702)

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Abstract

We propose two algorithms for power load disaggregation at low-sampling rates (greater than 1sec): a low-complexity, supervised approach based on Decision Trees and an unsupervised method based on Dynamic Time Warping. Both proposed algorithms share common pre-classification steps. We provide reproducible algorithmic description and benchmark the proposed methods with a state-of-the-art Hidden Markov Model (HMM)-based approach. Experimental results using three US and three UK households, show that both proposed methods outperform the HMM-based approach and are capable of disaggregating a range of domestic loads even when the training period is very short.

ORCID iDs

Liao, Jing ORCID logoORCID: https://orcid.org/0000-0002-5614-7939, Elafoudi, G. ORCID logoORCID: https://orcid.org/0000-0001-6539-5216, Stankovic, L. ORCID logoORCID: https://orcid.org/0000-0002-8112-1976 and Stankovic, V. ORCID logoORCID: https://orcid.org/0000-0002-1075-2420;
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