activation_series() on the REDD dataset (imported with convert_redd() and DataSet() ) gives seemingly incorrect results

[ForkyTheEditor]

redd = DataSet(path)
all_activations = []

for number, building in redd.buildings.items():
    activations = {'Building' : number}
    for meter in building.elec.meters:
        activations[meter.label()] =  len(meter.activation_series(on_power_threshold=20))
       
    all_activations.append(activations)

I have even toyed around with the parameters of activation_series() but the metadata seems to work best. The results it gives me just don't seem right to me.

This is the output:

[{'Building': 1,
  'Site meter': 0,
  'Fridge': 724,
  'Dish washer': 18,
  'Sockets': 39,
  'Light': 73,
  'Microwave': 302,
  'Unknown': 0,
  'Electric space heater': 23,
  'Electric stove': 4,
  'Electric oven': 227,
  'Washer dryer': 32},
 {'Building': 2,
  'Site meter': 0,
  'Sockets': 27,
  'Light': 223,
  'Electric stove': 18,
  'Microwave': 65,
  'Washer dryer': 0,
  'Fridge': 374,
  'Dish washer': 5,
  'Waste disposal unit': 0},
 {'Building': 3,
  'Site meter': 5993,
  'Sockets': 106,
  'Light': 114,
  'CE appliance': 0,
  'Fridge': 723,
  'Waste disposal unit': 0,
  'Dish washer': 4,
  'Electric furnace': 36,
  'Microwave': 49,
  'Smoke alarm': 0,
  'Unknown': 40,
  'Washer dryer': 11},
 {'Building': 4,
  'Site meter': 1,
  'Light': 209,
  'Electric furnace': 8,
  'Sockets': 603,
  'Washer dryer': 15,
  'Electric stove': 91,
  'Unknown': 4,
  'Smoke alarm': 0,
  'Dish washer': 7,
  'Air conditioner': 53},
 {'Building': 5,
  'Site meter': 0,
  'Microwave': 3,
  'Light': 0,
  'Sockets': 0,
  'Electric furnace': 23,
  'Subpanel': 25,
  'Unknown': 2,
  'Fridge': 96,
  'Dish washer': 1,
  'Waste disposal unit': 0,
  'CE appliance': 10,
  'Washer dryer': 0,
  'Electric space heater': 3},
 {'Building': 6,
  'Site meter': 0,
  'Sockets': 4,
  'Washer dryer': 0,
  'Electric stove': 10,
  'CE appliance': 22,
  'Unknown': 4,
  'Fridge': 286,
  'Dish washer': 0,
  'Electric space heater': 6603,
  'Light': 0,
  'Air handling unit': 161,
  'Air conditioner': 40}]

The fridges are a good example about why this data seems off. Wildly different results for different houses even though a fridge is an appliance that mostly turns on and off automatically.

Anyone have any idea what's going on here?