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OdysseasKr / neural-disaggregator

Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
MIT License
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Loading Model #33

Open Oussama1920 opened 4 years ago

Oussama1920 commented 4 years ago

Hello everybody , thank you OdysseasKr for the great work i have tried the Recurrent network with LSTM , i have trained the model then exported it and it's working very well. but i have an enquiry , after loading the model and when we use the method disaggregate of ### RNNDisaggregator() , why we need the aggregated meter that provides the input (train_meter) for disaggregation ? i'm confused

OdysseasKr commented 4 years ago

Hi @Oussama1920 sorry for the extremely late reply. The train_meter is only used to get the metadata for the result. In other words, the disaggregate process uses the test mains to create a predicted meter. The metadata of the predicted meter are taken from the train_meter object.

I hope this clears up the confusion.