nilmtk 0.1
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User GuideΒΆ

  • Statistics and dataset diagnostics
    • Basic stats for a whole building
    • Diagnosing problems with data
    • Exploring a single appliance
  • Dataset Preprocessing
    • Finding the range of voltage for air conditioner 1
    • Removing readings in the dataset where voltage >260 or voltage <160
    • Filtering data from 13 July to 4 August
    • Downsampling the dataset to 1 minute
    • Fill large gaps in appliances with zeros and forward-fill small gaps
    • Prepend and append zeros
    • Drop missing samples from mains
    • Find intersection of mains and appliance datetime indicies
  • Demo IPython notebook
    • Computing stats for Kitchen_Outlets Channel 3

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© Copyright 2014, nilmtk authors.
Last updated on Jul 11, 2014.
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