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UsageJourney

Params

name

A human readable description of the object.

uj_steps

A list of UsageJourneySteps.

Calculated attributes

duration

ExplainableQuantity in minute, representing the Duration of user journey.

Example value: 20 min

Depends directly on:

through the following calculations:

You can also visit the link to Duration of user journey’s full calculation graph.

nb_usage_journeys_in_parallel_per_usage_pattern

Dictionary with UsagePattern as keys and Usage pattern hourly nb of user journeys in parallel as values, in concurrent.

Example value: {
UsagePattern usage pattern (d71fc8): 26298 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in :
first 10 vals [0.667, 2.67, 3, 2.67, 1, 0.333, 2.33, 2, 3, 0.667],
last 10 vals [1, 2.67, 3, 0.667, 2.67, 2, 1.67, 0.667, 2, 1],
}

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.

fabrication_impact_repartition_weights

Dictionary with UsagePattern as keys and Usage pattern fabrication weight in user journey impact repartition as values, in concurrent.

Example value: {
UsagePattern usage pattern (d71fc8): 26298 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in :
first 10 vals [0.667, 2.67, 3, 2.67, 1, 0.333, 2.33, 2, 3, 0.667],
last 10 vals [1, 2.67, 3, 0.667, 2.67, 2, 1.67, 0.667, 2, 1],
}

Depends directly on:

through the following calculations:

You can also visit the link to usage pattern fabrication weight in user journey impact repartition’s full calculation graph.

fabrication_impact_repartition_weight_sum

Sum of user journey fabrication impact repartition weights in concurrent.

Example value: 26298 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in :
first 10 vals [0.667, 2.67, 3, 2.67, 1, 0.333, 2.33, 2, 3, 0.667],
last 10 vals [1, 2.67, 3, 0.667, 2.67, 2, 1.67, 0.667, 2, 1]

Depends directly on:

through the following calculations:

You can also visit the link to Sum of user journey fabrication impact repartition weights’s full calculation graph.

fabrication_impact_repartition

Dictionary with UsagePattern as keys and User journey fabrication impact attribution to usage pattern as values, in concurrent.

Example value: {
UsagePattern usage pattern (d71fc8): 26298 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in :
first 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
last 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
}

Depends directly on:

through the following calculations:

You can also visit the link to user journey fabrication impact attribution to usage pattern’s full calculation graph.

usage_impact_repartition_weights

Dictionary with UsagePattern as keys and Usage pattern usage weight in user journey impact repartition as values, in concurrent * gram / kilowatt_hour.

Example value: {
UsagePattern usage pattern (d71fc8): 26298 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in ·g/kWh:
first 10 vals [56.7, 227, 255, 227, 85, 28.3, 198, 170, 255, 56.7],
last 10 vals [85, 227, 255, 56.7, 227, 170, 142, 56.7, 170, 85],
}

Depends directly on:

through the following calculations:

You can also visit the link to usage pattern usage weight in user journey impact repartition’s full calculation graph.

usage_impact_repartition_weight_sum

Sum of user journey usage impact repartition weights in concurrent * gram / kilowatt_hour.

Example value: 26298 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in ·g/kWh:
first 10 vals [56.7, 227, 255, 227, 85, 28.3, 198, 170, 255, 56.7],
last 10 vals [85, 227, 255, 56.7, 227, 170, 142, 56.7, 170, 85]

Depends directly on:

through the following calculations:

You can also visit the link to Sum of user journey usage impact repartition weights’s full calculation graph.

usage_impact_repartition

Dictionary with UsagePattern as keys and User journey usage impact attribution to usage pattern as values, in concurrent.

Example value: {
UsagePattern usage pattern (d71fc8): 26298 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in :
first 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
last 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
}

Depends directly on:

through the following calculations:

You can also visit the link to user journey usage impact attribution to usage pattern’s full calculation graph.