Beispiel #1
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def preprocess_redd(building, freq):
    building.utility.electric = building.utility.electric.sum_split_supplies()
    building = prepb.downsample(building, rule=freq)
    building = prepb.fill_appliance_gaps(building)
    building = prepb.drop_missing_mains(building)
    building = prepb.make_common_index(building)
    building.utility.electric.mains[(1, 1)].rename(
        columns={Measurement('power', 'apparent'): Measurement('power', 'active')}, inplace=True)
    building = prepb.filter_top_k_appliances(building, k=6)

    return building
Beispiel #2
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def preprocess_iawe(building, freq):
    building.utility.electric = building.utility.electric.sum_split_supplies()
    building = prepb.filter_out_implausible_values(
        building, Measurement('voltage', ''), 160, 260)
    building = prepb.filter_datetime(building, '7-13-2013', '8-4-2013')
    building = prepb.downsample(building, rule=freq)
    building = prepb.fill_appliance_gaps(building)
    building = prepb.prepend_append_zeros(
        building, '7-13-2013', '8-4-2013', freq, 'Asia/Kolkata')
    building = prepb.drop_missing_mains(building)
    building = prepb.make_common_index(building)
    building = prepb.filter_top_k_appliances(building, k=6)
    return building
Beispiel #3
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    building, Measurement('voltage', ''), 160, 260)

# optional. (required for iAWE) Note that this will remove motor as it does not have
# any data in this period
building = prepb.filter_datetime(
    building, '7-13-2013', '8-4-2013')

# 2. downsample mains, circuits and appliances
building = prepb.downsample(building, rule='1T')

# 3. Fill large gaps in appliances with zeros and forward-fill small gaps
building = prepb.fill_appliance_gaps(building)

# optional. (required for iAWE)
building = prepb.prepend_append_zeros(
    building, '7-13-2013', '8-4-2013', '1T', 'Asia/Kolkata')

# 4. Drop missing samples from mains
building = prepb.drop_missing_mains(building)

# TODO: for some datasets (e.g. UKPD), we'll have to find a common index
# for the subset of the appliances we want to use.

# 5. Find intersection of mains and appliance datetime indicies
building = prepb.make_common_index(building)

# 6. Contiguous blocks of datetimes
# could use nilmtk.stats.electricity.single.periods_with_sufficient_samples ?

# plot_missing_samples_using_bitmap(building.utility.electric)