A new unsupervised NILM algorithm, DUE, combines Markov-model activity chains with load simulation to disaggregate 15-minute smart-meter data into eight appliance categories, benchmarked on three European datasets.
Strbac , title Demand side management: Benefits and challenges , journal Energy Policy volume 36 ( year 2008 ) pages 4419--4426
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Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households
A new unsupervised NILM algorithm, DUE, combines Markov-model activity chains with load simulation to disaggregate 15-minute smart-meter data into eight appliance categories, benchmarked on three European datasets.