In order to structure your timeseries definitions, and to easily find your way in definitions, it is important to have a proper naming convention.

A proper naming convention simplifies recognizing at what level a timeseries handles data, when you are configuring your calculation models this comes in handy.

Based on our experience we use following format:

{prefix}_{group}_{name}_{type short}_{owner short}

Examples:

NL_ELECTRICITY_GRID_COST_BP_AP

HZ_ELECTRICITY_OFFTAKE_SP_AR

To identify on which level the Timeseries Definition is configured:

In the above example - it is a country related Timeseries - NL is the prefix, the second example is a Tenant specific timeseries for which the tenant choose to use HZ as an identifier.

Group provides a higher level form of configuration - in this case the commodity is used for both examples.

Name is the logical name - which is also mentioned in the "name" attribute of the Timeseries Definition.

In the examples:

GRID_COST - is the Grid Cost

OFFTAKE - is the Offtake of the electricity

BP = Billing Price

SP = Sales Price

MQ = Metering Quantity

MV = Metering Volume

MR = Metering Reading

BQ = Billing Quantity

SQ = Sales Quantity

AP = Access Point

APAR = Access Point Arrangement

PAAR = Party Arrangement

AR = Arrangement

GB = Global