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Baseline (fixed)

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@daniprec daniprec released this 12 May 08:13
· 510 commits to master since this release

This first version can perform the following tasks:

  • Read and preprocess data from hdf5 files using the nilmtk library.

  • Automatically distinguish between ON and OFF states, by applying a kMeans algorithm to the appliance load.

  • Train a bidirectional GRU model. This model does both regression (appliance load consumption) and classification (appliance state).

  • Plot the model predictions against the ground-truth data.