Next Article in Journal
On the Evolution of the Integral Time Scale within Wind Farms
Previous Article in Journal
Behavior Anomaly Indicators Based on Reference Patterns—Application to the Gearbox and Electrical Generator of a Wind Turbine
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Energies 2018, 11(1), 88; https://doi.org/10.3390/en11010088

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

1
Department of Electrical and Computer Engineering, Université du Québec, Trois-Rivieres, QC G9A 5H7, Canada
2
Department of Mechanical Engineering, Université du Québec, Trois-Rivières, QC G9A 5H7, Canada
3
Laboratoire des Technologies de l’Énergie, Institut de Recherche Hydro-Québec, Shawinigan, QC G9N 7N5, Canada
*
Author to whom correspondence should be addressed.
Received: 30 November 2017 / Revised: 20 December 2017 / Accepted: 22 December 2017 / Published: 1 January 2018
Full-Text   |   PDF [1290 KB, uploaded 2 January 2018]   |  

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. View Full-Text
Keywords: building energy consumption; non-intrusive load monitoring; smart grids; hidden Markov models building energy consumption; non-intrusive load monitoring; smart grids; hidden Markov models
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Henao, N.; Agbossou, K.; Kelouwani, S.; Hosseini, S.S.; Fournier, M. Power Estimation of Multiple Two-State Loads Using A Probabilistic Non-Intrusive Approach. Energies 2018, 11, 88.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top