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Issues: JackKelly/neuralnilm_prototype
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Try quantising input data OR using linspace to init weights
research idea
#38
opened Feb 16, 2015 by
JackKelly
train net on many appliances and then extract the ‘knowledge’ for a single appliance?
research idea
#33
opened Feb 16, 2015 by
JackKelly
Dealing with missing samples and different sample rates
research idea
#32
opened Feb 16, 2015 by
JackKelly
force the outputs to sum to no more than the aggregate power demand at each time slice
research idea
#31
opened Feb 16, 2015 by
JackKelly
Use two networks: one outputs boolean for if the appliance is on or off
research idea
#27
opened Feb 16, 2015 by
JackKelly
one network per appliance (multiple experts) vs one network for all classes of appliances
research idea
#25
opened Feb 16, 2015 by
JackKelly
Try getting net to map just from fdiff to quantized fdiff
research idea
#22
opened Feb 16, 2015 by
JackKelly
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