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Real-Time Recognition Non-Intrusive Electrical Appliance Monitoring Algorithm for a Residential Building Energy Management System

Author

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  • Kofi Afrifa Agyeman

    (Department of Electrical Engineering, Kyungpook National University, Daegu 41566, Korea)

  • Sekyung Han

    (Department of Electrical Engineering, Kyungpook National University, Daegu 41566, Korea)

  • Soohee Han

    (Department of Creative IT Engineering, Pohang University of Science and Technology, Pohang 37673, Korea)

Abstract

The concern of energy price hikes and the impact of climate change because of energy generation and usage forms the basis for residential building energy conservation. Existing energy meters do not provide much information about the energy usage of the individual appliance apart from its power rating. The detection of the appliance energy usage will not only help in energy conservation, but also facilitate the demand response (DR) market participation as well as being one way of building energy conservation. However, energy usage by individual appliance is quite difficult to estimate. This paper proposes a novel approach: an unsupervised disaggregation method, which is a variant of the hidden Markov model (HMM), to detect an appliance and its operation state based on practicable measurable parameters from the household energy meter. Performing experiments in a practical environment validates our proposed method. Our results show that our model can provide appliance detection and power usage information in a non-intrusive manner, which is ideal for enabling power conservation efforts and participation in the demand response market.

Suggested Citation

  • Kofi Afrifa Agyeman & Sekyung Han & Soohee Han, 2015. "Real-Time Recognition Non-Intrusive Electrical Appliance Monitoring Algorithm for a Residential Building Energy Management System," Energies, MDPI, vol. 8(9), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:9:p:9029-9048:d:54794
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    References listed on IDEAS

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    1. Kempton, Willett & Layne, Linda L., 1994. "The consumer's energy analysis environment," Energy Policy, Elsevier, vol. 22(10), pages 857-866, October.
    2. Carrie Armel, K. & Gupta, Abhay & Shrimali, Gireesh & Albert, Adrian, 2013. "Is disaggregation the holy grail of energy efficiency? The case of electricity," Energy Policy, Elsevier, vol. 52(C), pages 213-234.
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    Cited by:

    1. Samira Ortiz & Mandoye Ndoye & Marcel Castro-Sitiriche, 2021. "Satisfaction-Based Energy Allocation with Energy Constraint Applying Cooperative Game Theory," Energies, MDPI, vol. 14(5), pages 1-18, March.
    2. Krzysztof Dowalla & Piotr Bilski & Robert Łukaszewski & Augustyn Wójcik & Ryszard Kowalik, 2022. "Application of the Time-Domain Signal Analysis for Electrical Appliances Identification in the Non-Intrusive Load Monitoring," Energies, MDPI, vol. 15(9), pages 1-20, May.
    3. Hui He & Zixuan Liu & Runhai Jiao & Guangwei Yan, 2019. "A Novel Nonintrusive Load Monitoring Approach based on Linear-Chain Conditional Random Fields," Energies, MDPI, vol. 12(9), pages 1-17, May.
    4. Pascal A. Schirmer & Iosif Mporas, 2019. "Statistical and Electrical Features Evaluation for Electrical Appliances Energy Disaggregation," Sustainability, MDPI, vol. 11(11), pages 1-14, June.
    5. Antonio Ruano & Alvaro Hernandez & Jesus Ureña & Maria Ruano & Juan Garcia, 2019. "NILM Techniques for Intelligent Home Energy Management and Ambient Assisted Living: A Review," Energies, MDPI, vol. 12(11), pages 1-29, June.
    6. Hsueh-Hsien Chang & Nguyen Viet Linh, 2017. "Statistical Feature Extraction for Fault Locations in Nonintrusive Fault Detection of Low Voltage Distribution Systems," Energies, MDPI, vol. 10(5), pages 1-20, April.
    7. Robertas Lukočius & Žilvinas Nakutis & Vytautas Daunoras & Ramūnas Deltuva & Pranas Kuzas & Roma Račkienė, 2018. "An Analysis of the Systematic Error of a Remote Method for a Wattmeter Adjustment Gain Estimation in Smart Grids," Energies, MDPI, vol. 12(1), pages 1-26, December.
    8. Augustyn Wójcik & Piotr Bilski & Robert Łukaszewski & Krzysztof Dowalla & Ryszard Kowalik, 2021. "Identification of the State of Electrical Appliances with the Use of a Pulse Signal Generator," Energies, MDPI, vol. 14(3), pages 1-26, January.

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