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Appl. Sci. 2018, 8(4), 542; https://doi.org/10.3390/app8040542

An Iterative Load Disaggregation Approach Based on Appliance Consumption Pattern

1
State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China
2
School of Computer and Remote Sensing Information Technology, North China Institute of Aerospace Engineering, Langfang 065000, China
*
Author to whom correspondence should be addressed.
Received: 23 February 2018 / Revised: 26 March 2018 / Accepted: 29 March 2018 / Published: 2 April 2018
(This article belongs to the Section Energy)
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Abstract

Non-intrusive load monitoring (NILM), monitoring single-appliance consumption level by decomposing the aggregated energy consumption, is a novel and economic technology that is beneficial to energy utilities and energy demand management strategies development. Hardware costs of high-frequency sampling and algorithm’s computational complexity hampered NILM large-scale application. However, low sampling data shows poor performance in event detection when multiple appliances are simultaneously turned on. In this paper, we contribute an iterative disaggregation approach that is based on appliance consumption pattern (ILDACP). Our approach combined Fuzzy C-means clustering algorithm, which provide an initial appliance operating status, and sub-sequence searching Dynamic Time Warping, which retrieves single energy consumption based on the typical power consumption pattern. Results show that the proposed approach is effective to accurately disaggregate power consumption, and is suitable for the situation where different appliances are simultaneously operated. Also, the approach has lower computational complexity than Hidden Markov Model method and it is easy to implement in the household without installing special equipment. View Full-Text
Keywords: non-intrusive load monitoring; energy disaggregation; smart meter signal; consumption pattern non-intrusive load monitoring; energy disaggregation; smart meter signal; consumption pattern
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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).
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Wang, H.; Yang, W. An Iterative Load Disaggregation Approach Based on Appliance Consumption Pattern. Appl. Sci. 2018, 8, 542.

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