UNILM applies filter pipelines, probabilistic knapsack on Gaussian appliance models, and labelled partition maps to disaggregate and label appliance energy use, accounting for 93.7% of aggregate consumption.
Transferability of neural network approaches for low-rate energy dis- aggregation
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Universal Non-Intrusive Load Monitoring (UNILM) Using Filter Pipelines, Probabilistic Knapsack, and Labelled Partition Maps
UNILM applies filter pipelines, probabilistic knapsack on Gaussian appliance models, and labelled partition maps to disaggregate and label appliance energy use, accounting for 93.7% of aggregate consumption.