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A Study Of Energy Disaggregation Using Deep Learning

Creative Commons 'BY-NC-SA' version 4.0 license

Energy disaggregation estimates appliance-by-appliance electricity consumption from a single meter that measures the total energy consumed in a house. Recently, deep neural networks have driven remarkable improvements in classification performance in neighbouring fields such as image classification and automatic speech recognition. In this work, I make use of recurrent neural networks with three datasets (two of which are publicly available) in order to study the energy disaggregation ability of recurrent neural networks.

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