A new approach for supervised power disaggregation by using a deep recurrent LSTM network.

Lukas Mauch Bin Yang

Published in: GlobalSIP (2015)

Keyphrases

recurrent neural networks
recurrent networks
network model
learning algorithm
power grid
network topologies
peer to peer
semi supervised
complex networks
computer networks
feed forward
wireless sensor networks
unsupervised learning
power consumption
end to end
active learning
data sets