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Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.

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hi, i have run RNN-example.ipynb,but the data is not correct. my result is ============ Recall: 0.06080812748658777 ============ Precision: 0.7873688147161255 ============ Accuracy: 0.29049305213046556 ============ F1 Score: 0.11289725264136873 ============ Relative error in...

after calling " rnn.disaggregate(test_mains, output, train_meter, sample_period=1) " there should be a output.close() or error will be raised.

Thanks for your work, but I have a question about it. in case of redd dataset there are two meters in site meter so only one meter of site meter...

Hello! Thank you sir for your great work. could you tell me please how can i call the nilmtk and RNNDisaggregator.

Hello! I am attempting to use your implementation of the WindowGRU algorithm to train across multiple houses. The following is how the code is structured, I am having issues with...

bug

Hello! Thank you for your contribution. I would like to know how to add loss visualization function in RNN network. I would like to observe its fitting

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Hello: I‘m confused about the sample_period, I set sample_period=1 for the dish washer but get bad results, the predict result can hardly match the actual data.May I ask about the...

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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...

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Hi, I found your project very interesting. Just a quick question.Is it possible to train and test the whole number of appliances (not only a single one)?. If it is...

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Hi, Sir Thanks for your help. I am so confused for the following, input(for ukdale): train_meter = train_elec.submeters()['kettle'] train_mains = train_elec.mains() output: ElecMeter(instance=54, building=1, dataset='UK-DALE', site_meter, appliances=[Appliance(type='immersion heater', instance=1), Appliance(type='water...

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