Event Matching Classification Method for Non-Intrusive Load Monitoring

Elnaz Azizi, Mohammad T. H. Beheshti and Sadegh Bolouki
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Elnaz Azizi: Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran 14155-6343, Iran
Mohammad T. H. Beheshti: Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran 14155-6343, Iran
Sadegh Bolouki: Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran 14155-6343, Iran

Sustainability, 2021, vol. 13, issue 2, 1-20

Abstract: Nowadays, energy management aims to propose different strategies to utilize available energy resources, resulting in sustainability of energy systems and development of smart sustainable cities. As an effective approach toward energy management, non-intrusive load monitoring (NILM), aims to infer the power profiles of appliances from the aggregated power signal via purely analytical methods. Existing NILM methods are susceptible to various issues such as the noise and transient spikes of the power signal, overshoots at the mode transition times, close consumption values by different appliances, and unavailability of a large training dataset. This paper proposes a novel event-based NILM classification algorithm mitigating these issues. The proposed algorithm (i) filters power signals and accurately detects all events; (ii) extracts specific features of appliances, such as operation modes and their respective power intervals, from their power signals in the training dataset; and (iii) labels with high accuracy each detected event of the aggregated signal with an appliance mode transition. The algorithm is validated using REDD with the results showing its effectiveness to accurately disaggregate low-frequency measured data by existing smart meters.

Keywords: demand-side management; clustering; event detection; non-intrusive load monitoring (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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