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Power Estimation of Multiple Two-State Loads Using A Probabilistic Non-Intrusive Approach

Author

Listed:
  • Nilson Henao

    (Department of Electrical and Computer Engineering, Université du Québec, Trois-Rivieres, QC G9A 5H7, Canada)

  • Kodjo Agbossou

    (Department of Electrical and Computer Engineering, Université du Québec, Trois-Rivieres, QC G9A 5H7, Canada)

  • Sousso Kelouwani

    (Department of Mechanical Engineering, Université du Québec, Trois-Rivières, QC G9A 5H7, Canada)

  • Sayed Saeed Hosseini

    (Department of Electrical and Computer Engineering, Université du Québec, Trois-Rivieres, QC G9A 5H7, Canada)

  • Michael Fournier

    (Laboratoire des Technologies de l’Énergie, Institut de Recherche Hydro-Québec, Shawinigan, QC G9N 7N5, Canada)

Abstract

This paper investigates a non-intrusive approach of retrieving electric space heater (ESH) power profiles from a residential aggregated signal. In cold-climate regions with heating appliances controlled by electronic thermostats, an accurate non-intrusive recognition of power profiles is a challenging task. Accordingly, a robust disaggregation approach based on the difference factorial hidden Markov model (DFHMM) and the Kronecker operation is contributed. The proposed method aims to uncover the underlying stochastic tow-state models of ESHs using their common prior knowledge. The major advantage of the developed load-monitoring architecture consists of modeling simplicity and inference as well as load-detection efficacy in the presence of perturbations from other unknown loads. The experimental results prove the effectiveness of the method in manipulating the challenging case of multiple two-state loads with a high event overlapping probability.

Suggested Citation

  • Nilson Henao & Kodjo Agbossou & Sousso Kelouwani & Sayed Saeed Hosseini & Michael Fournier, 2018. "Power Estimation of Multiple Two-State Loads Using A Probabilistic Non-Intrusive Approach," Energies, MDPI, vol. 11(1), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:88-:d:125051
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    Citations

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    Cited by:

    1. Angreine Kewo & Pinrolinvic D. K. Manembu & Per Sieverts Nielsen, 2023. "A Rigorous Standalone Literature Review of Residential Electricity Load Profiles," Energies, MDPI, vol. 16(10), pages 1-27, May.
    2. Himeur, Yassine & Alsalemi, Abdullah & Bensaali, Faycal & Amira, Abbes, 2020. "Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree," Applied Energy, Elsevier, vol. 267(C).

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