Value with a factor such as line loss applied.

Value converted from one unit of measurement to another.

Estimated value if the final measurement is too low or high.

Interval data values created by "intervalizing" a scalar reading by applying a profile to it.

Comparison of normal versus actual usage.

Create value identifiers far the energy Unit of Measure (UOM) on the device.

Set up a factor to hold the conversion values.

Configure a value derivation algorithm by using Groovy.

Create value identifiers for the energy UOM on the measuring component type.

Configure a value derivation algorithm by using Java.

Configure the derived values on the final measurement type for the measuring components to be defined on the device.

Configure the derived values on the device type for the derived values to be defined on the device.

Configure the derived values on the measuring component type for the measuring components to be defined on the device.

Configure the derived values on the measuring component for the measuring components to be defined on the device.

Validation, Estimation, and Editing (VEE) stage, so that each interval can be compared to a specific date and time for validation.

Create the Final Measurements stage, so that each interval measurement is stored as a single record for a specific date and time.

Load the Initial Measurements stage, so that each interval measurement is stored as a single record for a specific date and time.

Create the Final Measurements stage, so that each interval is stored as the adjusted value to represent an average interval value.

Usage factor

Usage transaction

Usage subscription

Usage rule