Comments (4)
With this demo you can explore HART85 algorithm (it is a bit hidden in the docs):
https://github.com/nilmtk/nilmtk/blob/master/docs/manual/user_guide/hart_disaggregation_demo.ipynb
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thanks @Raphael164. Do you know if I can run this nilmtk & nilm-contrib environments in Google Colab? I have tried running the following commands: !pip install git+https://github.com/nilmtk/nilmtk.git but it is returning errors.
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@ccruzalegui I am sorry but unfortunately I have never worked with google colab, hence I can't give you thank information
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Related Issues (20)
- API - When testing uses power apparent as default HOT 1
- activation_series() on the REDD dataset (imported with convert_redd() and DataSet() ) gives seemingly incorrect results
- Combed dataset AHU problem
- the function train_jointly() in api.py HOT 1
- Incompatible HOT 1
- Unable to get FHMM on house 6
- Using nilmtk for a personal synthetic dataset
- Unable to download nilmtk HOT 24
- Can I use it to know if the household has electric vehicle?
- Unable to import FHMM_Exact using experimentation API HOT 5
- Redd to Aws converter
- Error: failed to send plot to http://127.0.0.1:63342 when trying to plot any NILMTK plot on Pycharm! HOT 1
- AssertionError: when trying to load iawe-dataset (or any other) with nilmtk DataSet HOT 5
- What units are used for power and energy ?
- REDD dataset link not working HOT 14
- Error training with FHMM (unable to allocate 26.0GB for an array) HOT 3
- How to run nilmtk in the cloud? HOT 4
- I am trying to convert the AMPDS2 dataset to work with the REDD dataset
- Data loss when converting e.g. iAWE csv to h5 HOT 1
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