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The essence of Non-Intrusive Load Monitoring (NILM) is to extract electricity consumption details of individual appliance from an aggregated house-level electrical measurement at the main panel without sub-metering each appliance. In this paper, an Expectation Maximization (EM) based semi-supervised multi-label classification technique is applied in NILM. It requires a one-time registration of individual...
The article tackles the issues related to the identification of electrical appliances inside residential buildings. Each appliance can be identified from the aggregate power readings at the meter panel. The possibility of applying a temporal multilabel classification approach in the domain of nonintrusive load monitoring is explored (nonevent-based method). A novel set of metafeatures is proposed...
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