Rithwik Kukunuri

Hello @klemenjak! I apologize for the really late reply. The API does not support choosing an appliance manually. If you wish to choose it manually, you can load the data...

This can be a good first issue, so someone can add the tag.

@PMeira , I think we also need to add a couple of examples for using the algorithms with the experimentation API and without the experimentation API. The experimentation API sometimes...

Yes @nipunbatra we need to use sample_interval. Also, we need to specify if user wishes to downsample the data.

@oneway3124 , the operations involved in the problem are very computationally expensive. And for each appliance each of those operations need to be executed. Hence, it is taking more time...

@PMeira @levaphenyl I can help with writing the notebooks. Just, one quick question. Currently, we have nilmtk-contrib which is under-development and nilmtk-contrib which is hosted on anaconda cloud. For which...

Hello @klemenjak, the experiments we used were having data for 2 months. I think the experiment you are trying to do, needs more GPU memory. The experiments we conducted were...

I see, the experiment was for a duration of 6 months. That explains why it is unable to run. Can you try algorithms such as Mean?(It doesn't depend much on...

@klemenjak Give me sometime. I will get back to you with a code snippet. Which should help you train models of a larger timeframe, but the training process will be...

Exactly, that is the function! Q1: The number of samples Q2: I am not an expert on NILM. But, I think a chunk size that covers a month should do...