Calling diaggregate with a single monthly aggregate reading. about neural-disaggregator HOT 6 CLOSED

That is a shame. Thank you for your help and your time.

from neural-disaggregator.

Hi @cathreya! What do you mean by single monthly aggregate? Does this mean one value per month? Maybe you could use the sample_period attribute from NILMTK?

from neural-disaggregator.

Thanks for your reply! Instead of using values from the dataset, we want to to take total mains electricity usage per month from a user, and convert it to an Elecmeter input to the model.

from neural-disaggregator.

In this case I am afraid that you have to write your own custom disaggregator. All models in this repo are designed to work with fast sampling rates (usually with a sampling period of 6 seconds).

from neural-disaggregator.

Suppose we had 6 seconds aggregates from the user, would we be able to create Elecmeter objects for those?

from neural-disaggregator.

Aah ok I see. So you want to use a feed of user data but not a dataset? NILMTK is a toolkit for working with datasets so, since you couldn't figure out the converter, you can not use neural-disaggregator.

from neural-disaggregator.