Unifying operational data for real-time grid awareness

Modern grid operations depend on data arriving from everywhere at once.

SCADA systems stream telemetry. Asset systems track equipment status. Outage management platforms log incidents. Maintenance systems capture work orders. Market systems reflect demand and pricing changes.

Each system serves its purpose. But none were designed to create a unified, operational picture. Operations teams often rely on stitched dashboards, manual extracts, or fragile integrations to understand what’s happening across the grid. When data pipelines break — or metrics drift — situational awareness suffers.

Mage helps energy organizations orchestrate and monitor the flow of operational data across these systems, ensuring decision tools and dashboards are powered by current, trusted inputs.

Instead of chasing data issues during critical events, teams operate from reliable pipelines that simply run.

What this enables

• unify telemetry, outage, and asset data

• power grid operations dashboards

• support load forecasting models

• monitor infrastructure health metrics

• deliver consistent data to control room tools

How a workflow runs

1. Ingest operational system data
   Collect telemetry, outage events, asset metadata, and maintenance logs.

2. Normalize & standardize metrics
   Align naming conventions, timestamps, and asset identifiers.

3. Transform for operational use
   Prepare datasets for dashboards, forecasting systems, or decision tools.

4. Deliver reliably to downstream systems
   Ensure operational platforms receive current, validated data.

5. Monitor pipeline health
   Detect failures or anomalies before they impact operations.

What changes for operations teams

✔ improved situational awareness
✔ fewer manual reconciliation efforts
✔ more reliable dashboards
✔ faster response during outages or peak events
✔ greater confidence in forecasting inputs

Why Mage works for grid operations

Operational environments demand stability and transparency.

Mage provides:

• orchestration across diverse system types

• version-controlled transformations

• pipeline observability and monitoring

• flexible deployment in cloud or controlled infrastructure