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Discrete Wavelet Transform and Classifiers for Appliances Recognition

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Innovations in Smart Cities and Applications (SCAMS 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 37))

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Abstract

Recognition of appliances’ signatures is an important task in energy disaggregation applications. To save and manage energy, load signatures provided by appliances can be used to detect which appliance is used. In this study, we use a low frequency database to identify appliances based on discrete wavelet transform for features extraction and data dimensionality reduction. Further that, the accuracy of several classifiers is investigated. This paper aims to prove the effectiveness of DWT in load signatures recognition. Then, the best classifier for this studied task is selected.

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Authors and Affiliations

  1. Mohammadia School of Engineering, Mohammed V University in Rabat, Rabat, Morocco

    El Bouazzaoui Cherraqi, Nadia Oukrich & Abdelilah Maach

  2. Laboratory of Information Processing, Hassan II-University of Casablanca, Casablanca, Morocco

    Soufiane El Moumni

Authors
  1. El Bouazzaoui Cherraqi
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  2. Nadia Oukrich
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  3. Soufiane El Moumni
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  4. Abdelilah Maach
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Corresponding author

Correspondence to El Bouazzaoui Cherraqi .

Editor information

Editors and Affiliations

  1. Computer Sciences Department, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Computer Sciences Department, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco

    Anouar Abdelhakim Boudhir

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Cherraqi, E.B., Oukrich, N., El Moumni, S., Maach, A. (2018). Discrete Wavelet Transform and Classifiers for Appliances Recognition. In: Ben Ahmed, M., Boudhir, A. (eds) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-74500-8_20

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  • DOI: https://doi.org/10.1007/978-3-319-74500-8_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74499-5

  • Online ISBN: 978-3-319-74500-8

  • eBook Packages: EngineeringEngineering (R0)

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