Residential Household Non-Intrusive Load Monitoring via Graph-Based Multi-Label Semi-Supervised Learning

Nonintrusive load monitoring refers to inferring what appliances are operating in a household at a given time solely from fluctuations on the main power feeder. It is one approach to demand-side management strategies in the smart grid, and most current research employs machine learning to make those inferences. However, the learning algorithms used usually require knowledge of the set of appliances active at each sample instant in addition to...