Performance Evaluation of the Electrical Appliances Identification System Using the PLAID Database in Independent Mode of House

Fateh Ghazali, Abdenour Hacine-Gharbi, Khaled Rouabah, Philippe Ravier

2024

Abstract

In Electrical Appliances Identification (EAI) system, Plug Load Appliance Identification Dataset (PLAID) is largely used to develop and benchmark new methods proposed for demand management in electricity networks, more particularly, automated control, non-intrusive load planning and monitoring. Particularly, this database contains electrical signals of 11 appliance electrical appliances, recorded in several houses. In state-of-the-art, the EAI systems have used this latest PLAID designed, in two parts (one for training and the other for testing). These parts can be organized on house-dependent mode or house-independent mode. In the first mode, the signals of each appliance class and house in the testing part have examples in the training part. In opposition, in the second mode, the houses in testing part have not any example in training part. In this paper, we propose a comparative study between the performance of house-dependent EAI system and those of house independent mode system. In addition, in order to more validate the results of the comparison study, we propose the use of other classifiers like Gaussian Mixture Model (GMM), Linear Discriminant Analysis (LDA) and Artificial Neural Network (ANN). The obtained results, based on the use of PLAID, have demonstrated that the performances of this system, in independent mode, are relatively low compared to those obtained in dependent mode. This shows that the house’s electrical installation has a good footprint in the input current signal.

Paper Citation

in Harvard Style

Ghazali F., Hacine-Gharbi A., Rouabah K. and Ravier P. (2024). Performance Evaluation of the Electrical Appliances Identification System Using the PLAID Database in Independent Mode of House. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-684-2, SciTePress, pages 880-885. DOI: 10.5220/0012468900003654

in Bibtex Style

@conference{icpram24,
author={Fateh Ghazali and Abdenour Hacine-Gharbi and Khaled Rouabah and Philippe Ravier},
title={Performance Evaluation of the Electrical Appliances Identification System Using the PLAID Database in Independent Mode of House},
booktitle={Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2024},
pages={880-885},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012468900003654},
isbn={978-989-758-684-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - Performance Evaluation of the Electrical Appliances Identification System Using the PLAID Database in Independent Mode of House
SN - 978-989-758-684-2
AU - Ghazali F.
AU - Hacine-Gharbi A.
AU - Rouabah K.
AU - Ravier P.
PY - 2024
SP - 880
EP - 885
DO - 10.5220/0012468900003654
PB - SciTePress