Data sources Configurations

For more high level documentation see Data Sources

Overview

A Datasource defines how data is accessed, structured, and shared across multiple applications within the platform — such as Dashboards and Reports.
It acts as a reusable configuration that encapsulates one or more data inputs (e.g., time series, statistics, attributes) and exposes them to different visualization or analysis contexts.

Datasources enable users to:

Share consistent data definitions across multiple tools.
Simplify configuration management by centralizing data logic.
Support multiple data types, such as time series points, availability statistics, and object attributes.

Each Datasource includes the following key parameters:

Parameter	Description	Multiplicity
Numerical Attributes	Numerical Metadata or object properties describing the asset (e.g., rated power, site name).	Many
Asset Type	Defines the type of physical or logical asset associated with the datasource (e.g., turbine, inverter).	1
Points / Statistics	Data sources providing numerical or categorical information, such as time series, real-time values, or aggregated statistics.	Many
Calculations	Derived metrics computed from raw data or attributes (e.g., Active Power / Rated Power).	Many

Datasource Types

Datasources can encapsulate different data source types, depending on the nature of the data and use case:

1. Point

Represents a time series or real-time measurement.
Examples:

Time series: 10-07-25 → 2100 kWh, 11-07-25 → 1400 kWh
Real time: 10-07-25 09:17 → 321 kW
Aggregated period: 10-07-25 to 14-07-25 → 5600 kWh

Typical use cases:

Monitoring energy production, temperature, or wind speed over time.
Computing period-based aggregations or derived KPIs.

For configuration documentation see Point Datasource

2. Availability Statistics

Represents operational availability data or loss-related metrics.
Examples:

TBA (Technical Based Availability): 92.5 %
Lost Production: 23.2 MWh

Typical use cases:

Measuring equipment uptime.
Quantifying production losses.
Supporting availability-based performance KPIs.

For configuration documentation see Availability Statistics Data Source

3. Asset Attributes

Represents static or slowly changing asset information.
Examples:

Rated Power: 2000 kW
Site Name: Wind Turbine 2

Typical use cases:

Enriching dashboards and reports with contextual metadata.
Providing reference values for calculations (e.g., normalization).

For configuration documentation see Asset Attribute Datasource

General Datasource Architecture

Key Benefits

Centralized Data Configuration: Define once, reuse everywhere.
Flexible Data Composition: Combine attributes, points, and calculations.
Multi-Application Sharing: Seamless integration with dashboards and reports.
Consistency and Traceability: Ensure unified data logic across the platform.