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

Nilson Henao, Kodjo Agbossou, Sousso Kelouwani, Sayed Saeed Hosseini and Michael Fournier
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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

Energies, 2018, vol. 11, issue 1, 1-15

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.

Keywords: building energy consumption; non-intrusive load monitoring; smart grids; hidden Markov models (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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