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Attempt a reimplementation of the NILM model with the newer keras API.
-> Could make predictions easier.
-> Trainable variables for meta learner should still be obtainable.
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Issue: I am trying to install nilmtk/nilmtk package with miniforge in a aarch64 architecture (because nilmtk is architecture agnostic,isn't it? ). Besides python versions (I've tried many) or fresh cr…
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Hi everybody,
I would like to point out that the procedure to access to the Dataport dataset evolved : they ask an additional code they send by email.
In consequences, the dataport_downloader do…
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Hello, thank you for your efforts on Nilm research. Your published papers and vae_nilm project are very helpful for my research.I tried to train the Nilm model with your project. The data is uk_dale l…
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I have my own aggregated meter data and want to see how the NILMTK performs... I want the TK to show the air conditioner consumption. So technically i have only one meter which has generated a table o…
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Hi,
I am wondering if it is possible to train on several different datasets and then test using the API? I've played around but keep getting errors so unsure whether this is something that isn't po…
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Dear Sir,
Thank you for sharing the codes. I m a Chinese researcher and am also researching on power disaggregation.
I tried running the codes and found some problems.
I think the problem is becaus…
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Their schema seems well organized and I was surprised to find this!
https://nilm-metadata.readthedocs.io/en/latest/dataset_metadata.html
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Can see signal2vec using only pretrained encodings in this repo.
Is there a repository for the signal2vec model training and using it with datasets other than the ones in nilmtk ?