Map telemetry sources. Bring SCADA, PI historian, DERMS, inverter telemetry, Kafka, Influx, OEM APIs, and operational systems into one visible workflow.
Energy asset telemetry normalization
Energy asset telemetry becomes useful only when schemas, site entities, KPIs, and freshness checks are governed before operational teams act.
Mage
I mapped this energy use case as a Mage workflow.
- ingest battery, solar, wind, SCADA, PI historian, DERMS, inverter, Kafka, Influx, and OEM API feeds
- standardize asset IDs, site hierarchies, units, schemas, and KPI logic
- validate freshness, duplicate signals, missing assets, and operational thresholds
- publish reports, alerts, dashboards, anomaly features, and agent context
You can inspect every source schema, asset mapping, KPI check, freshness result, delivery target, and context artifact before operators or agents use the output.
Use Mage to normalize energy asset telemetry into trusted operational context.
Energy asset telemetry becomes useful only when schemas, site entities, KPIs, and freshness checks are governed before operational teams act.
Battery, solar, wind, IoT, Kafka, InfluxDB, vendor APIs, and site systems feed Mage schema normalization, KPI workflows, CDC/streaming batches, and asset reports.
From energy source chaos to governed action
Use Mage as the execution layer between the specific sources, validation rules, governed delivery targets, and reusable context this energy workflow needs.
The vendor SOAP feed retried late, so Mage held billing logic and kept the exception visible.
Validate asset signals. Check schema drift, duplicate signals, missing assets, stale reads, KPI bounds, and failed vendor calls.
Register asset context. Version source schemas, asset mappings, KPI definitions, freshness evidence, retries, run history, and delivery outcomes.
Deliver telemetry outputs. Publish reports, alerts, dashboards, anomaly features, service workflows, and reusable context for operators and agents.
How Mage normalizes energy asset telemetry
Mage turns distributed energy telemetry into governed workflows with schema checks, asset mapping, freshness, and operational delivery.
Run the energy asset telemetry workflow. Normalize SCADA, PI historian, DERMS, inverter, IoT, and OEM feeds, map asset entities, validate KPIs and freshness, publish alerts and dashboards, and keep the context auditable.
The energy telemetry workflow is ready to review. I normalized asset feeds, mapped site entities, validated KPI and freshness checks, prepared operational outputs, and registered reusable context.
Start with telemetry. Start with the battery, solar, wind, remote-monitoring, or site telemetry feed that needs reliable normalization and freshness.
Map asset sources. Mage connects SCADA, PI historian, DERMS, inverter telemetry, Kafka, Influx, OEM APIs, and operational systems in one workflow.
Validate signals. Check schema drift, duplicate signals, missing assets, stale reads, KPI bounds, and failed vendor calls before delivery.
Standardize asset logic. Standardize asset IDs, site hierarchies, sensor fields, units, KPI logic, and operational definitions before teams act.
Deliver operational outputs. Publish reports, service alerts, operational dashboards, anomaly features, and reusable context for operators and agents.
Preserve asset context. Keep source schemas, asset mappings, KPI definitions, freshness evidence, retries, and run history attached to every output.
What the workflow includes
Normalize asset signals Mage normalizes battery, solar, wind, and remote-monitoring feeds across SCADA, PI historian, DERMS, inverter telemetry, Kafka, Influx, OEM APIs, and operational databases.
Validate operational KPIs Schema checks, entity mapping, KPI validation, freshness tests, and retry state run before telemetry becomes a dashboard, report, alert, or model feature.
Deliver trusted operations context Reports, alerts, dashboards, and agent context stay tied to the asset mappings, source schemas, and workflow runs that produced them.
Use case details
The workflow view shows sources on the left, Mage execution in the middle, and governed outputs plus AI context on the right.
Business problem
Energy asset telemetry becomes useful only when schemas, site entities, KPIs, and freshness checks are governed before operational teams act.
Mage workflow story
Normalize battery, solar, wind, SCADA, PI historian, DERMS, inverter telemetry, Kafka, Influx, and OEM API feeds with asset mapping, KPI checks, freshness, alerts, dashboards, and agent context.
Workflow diagram
Battery, solar, wind, IoT, Kafka, InfluxDB, vendor APIs, and site systems feed Mage schema normalization, KPI workflows, CDC/streaming batches, and asset reports.
Bring Mage the SCADA, PI historian, DERMS, inverter telemetry, OEM API, KPI, and freshness checks that operators already watch. Mage will map the schema normalization, asset identity, validation, and governed delivery path with you.