UsagePattern
Params
name
A human readable description of the object.
user_journey
An instance of UserJourney.
devices
description to be done
network
An instance of Network.
country
An instance of Country.
hourly_user_journey_starts
description to be done
Backwards links
Calculated attributes
utc_hourly_user_journey_starts
usage pattern utc in dimensionless.
Example value: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in dimensionless:
first 10 vals [6, 5, 9, 9, 7, 1, 4, 4, 5, 9],
last 10 vals [1, 9, 1, 8, 8, 4, 2, 4, 2, 6]
Depends directly on:
through the following calculations:
You can also visit the link to usage pattern UTC’s full calculation graph.
nb_user_journeys_in_parallel
usage pattern hourly nb of user journeys in parallel in dimensionless.
Example value: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in dimensionless:
first 10 vals [2.0, 1.67, 3.0, 3.0, 2.33, 0.33, 1.33, 1.33, 1.67, 3.0],
last 10 vals [0.33, 3.0, 0.33, 2.67, 2.67, 1.33, 0.67, 1.33, 0.67, 2.0]
Depends directly on:
through the following calculations:
You can also visit the link to usage pattern hourly nb of user journeys in parallel’s full calculation graph.
devices_energy
energy consumed by usage pattern devices in kilowatt_hour.
Example value: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kWh:
first 10 vals [0.1, 0.08, 0.15, 0.15, 0.12, 0.02, 0.07, 0.07, 0.08, 0.15],
last 10 vals [0.02, 0.15, 0.02, 0.13, 0.13, 0.07, 0.03, 0.07, 0.03, 0.1]
Depends directly on:
- usage pattern hourly nb of user journeys in parallel
- Power of device on which the user journey is made
through the following calculations:
You can also visit the link to Energy consumed by usage pattern devices’s full calculation graph.
devices_energy_footprint
devices energy footprint of usage pattern in kilogram.
Example value: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kg:
first 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.01, 0.01],
last 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.0, 0.01]
Depends directly on:
through the following calculations:
You can also visit the link to Devices energy footprint of usage pattern’s full calculation graph.
devices_fabrication_footprint
devices fabrication footprint of usage pattern in kilogram.
Example value: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kg:
first 10 vals [0.02, 0.02, 0.03, 0.03, 0.02, 0.0, 0.01, 0.01, 0.02, 0.03],
last 10 vals [0.0, 0.03, 0.0, 0.03, 0.03, 0.01, 0.01, 0.01, 0.01, 0.02]
Depends directly on:
- usage pattern hourly nb of user journeys in parallel
- Carbon footprint fabrication of device on which the user journey is made
- Lifespan of device on which the user journey is made
- device on which the user journey is made fraction of usage time
through the following calculations:
You can also visit the link to Devices fabrication footprint of usage pattern’s full calculation graph.
energy_footprint
usage pattern total energy footprint in kilogram.
Example value: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kg:
first 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.01, 0.01],
last 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.0, 0.01]
Depends directly on:
through the following calculations:
You can also visit the link to usage pattern total energy footprint’s full calculation graph.
instances_fabrication_footprint
usage pattern total fabrication footprint in kilogram.
Example value: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kg:
first 10 vals [0.02, 0.02, 0.03, 0.03, 0.02, 0.0, 0.01, 0.01, 0.02, 0.03],
last 10 vals [0.0, 0.03, 0.0, 0.03, 0.03, 0.01, 0.01, 0.01, 0.01, 0.02]
Depends directly on:
through the following calculations:
You can also visit the link to usage pattern total fabrication footprint’s full calculation graph.