The measurement layer consists of field devices such as sensors, signal units, and measurement instruments installed across LV networks and secondary substations. While these devices are not part of the Thaora platform itself, they form the primary data source within the customer’s or system integrator’s environment. Thaora is designed to accept heterogeneous devices and protocols without vendor lock-in.

The communication layer securely transfers measurement data from field devices to the Thaora platform in real or near real time. This is the first interface between the metering infrastructure and the platform, supporting multiple transport technologies such as cellular and LPWAN networks to ensure reliable delivery under varied grid conditions.

Thaora Distribution Intelligence includes a centralized time-series database optimized for high-frequency grid measurements.

It integrates with existing DSO systems — including SCADA, ADMS, and asset management platforms — via secure, standards-based APIs, ensuring data consistency and supporting cross-functional workflows.

Data warehouse capabilities enable deep analysis, aggregation, and reporting of historical grid states.

Incoming data streams are normalized, validated, and mapped against the electrical network topology.

Advanced analytics including AI/ML models detect voltage anomalies, outages, communication loss, or environmental hazards such as temperature, humidity, and ozone.

Statistical and numerical models identify congestion trends, predict asset stress, and support proactive maintenance strategies.

Historical data continually refines the predictive models for improved accuracy over time.

Operators access real-time dashboards via web or mobile interfaces, displaying the LV network with live status, alarms, trend views, and event logs.

This layer translates raw telemetry into actionable insights, allowing faster and more informed operational and strategic decisions.

The platform’s modular architecture supports seamless onboarding of new measurement devices, protocols, and analytics components.

Processed data can be securely forwarded to external enterprise or regulatory systems, enabling full end-to-end interoperability.

Engineered for high scalability, the system supports thousands of substations and millions of data points without performance loss.

Thaora Distribution Intelligence is cloud-native and supports deployment on-premises or through major cloud providers such as AWS, Google Cloud, and Microsoft Azure.

This hybrid approach ensures scalability, cybersecurity compliance, and alignment with operator IT policies — while maintaining full data sovereignty.