Comments (2)
Thanks a lot, your answer really helps me!
from neural-disaggregator.
Hi! I am not sure I fully understand your question but I will do my best to answer some points.
- I believe you refer to Neural NILM, right?
- NILMTK is used to get data from datasets and some utility operations. This code uses NILMTK to train models which are then used for disaggregation.
- The models in this repository are used for energy disaggregation. This means that given the mains consumption as input, they output the consumption of a specific appliance. Therefore, we don't get activations, but the whole timeseries of the consumption for the target device. If you need only the activations, you need to get the points where the consumption is greater than the "turn on threshold". NILMTK provides thresholds for all appliances in REDD and UKDALE.
- "Predict" in the context of Keras (and machine learning in general) is used when talking about getting results from new data. So we "train" or "fit" during the training phase and we "predict" during the deployment or testing phase. So "predicting" and "disaggregating" mean the same in this context.
from neural-disaggregator.
Related Issues (20)
- How do you extract activations and select windows in your code? HOT 3
- Add requirements HOT 1
- Question about model used in RNN HOT 1
- train_across_buildings and train_across_buildings_chunk HOT 4
- Why just load mains from only one meter of site_meter? HOT 3
- 'GRUDisaggregator' object has no attribute '_pre_disaggregation_checks HOT 8
- Question: Basic Parameters HOT 1
- question about train_elec.mains() for ukdale HOT 1
- prediction of the whole appliances HOT 2
- installation
- Loading Model HOT 1
- Question:sample-period HOT 1
- I'm not good at programming. I hope you can give me some guidance HOT 5
- ModuleNotFoundError: No module named 'nilmtk' HOT 1
- ModuleNotFoundError: No module named 'rnndisaggregator'
- The result data is not correct HOT 6
- MIT License HOT 1
- Attribute error
- ValueError: The file 'disag-out.h5' is already opened, but not in read-only mode (as requested).
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from neural-disaggregator.