NILM (Nonintrusive Load Monitoring) or appliance recognition software that uses algorithms, namely Hidden Markov Model (HMM) and Factorial HMM, to detect changes in electricity values entering a building, thus inferring which appliances are used and their individual energy consumption. In this paper, a “simple” technique is introduced that uses combinatorics on a specially designed observation matrix to detect hidden appliances and their electricity usage by dissecting the building’s total electricity usage.
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