UC Santa Cruz

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.