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A Machine-Learning Based Nonintrusive Smart Home Appliance Status Recognition
Mathematical Problems in Engineering
In a smart home, the nonintrusive load monitoring recognition scheme normally achieves high appliance recognition performance in the case where the appliance signals have widely varying power levels and signature characteristics. However, it becomes more difficult to recognize appliances with equal or very close power specifications, often with almost identical signature characteristics. In literature, complex methods based on transient event detection and multiple classifiers that operate ondoi:10.1155/2020/9356165 doaj:c3a0f93e1ed348e091a1a204aab76eae fatcat:x36esidfmzc63eqptcnkqyuf5i