Operations Control Tower · RENEWABLES
Every turbine, every windfarm, on one operational picture.
Wind farms across multiple sites operate under different weather, terrain and grid conditions — making centralised performance management hard and maintenance coordination harder. The XMPro AO Platform brings every turbine into one operational picture with predictive performance, coordinated maintenance and per-asset drill-down.
What's getting in the way today.
Multi-location windfarm operations compound four pressures:
Diverse geographical conditions
Each site faces different weather and environmental conditions that affect turbine performance — yet operators need a comparable picture across the portfolio.
Operational efficiency
Maximising energy output demands per-turbine optimisation across locations, not just farm-level dashboards.
Maintenance coordination
Scheduling crews, parts and outage windows across multiple sites with different conditions is hard without a shared planning view.
Data integration
Telemetry from many vendors, SCADA flavours and historians has to converge into one operational picture before it can be useful.
Multi-Location Windfarm Management — how it works.
A centralised, predictive control tower across every windfarm — with digital twins per turbine, automated maintenance scheduling and customisable analytics.
The platform integrates rotor and gearbox telemetry, power output, yaw, pitch, operational signals and live weather and wind-forecast feeds continuously from every turbine. Per-turbine digital twins mirror real-world conditions and let operators simulate alternative settings before applying them. ML models calculate yaw error and efficiency, asset health and utilisation scores, and predict failure likelihood with confidence scoring — surfacing failure modes like suboptimal wind-direction alignment, blade-pitch inefficiency, gearbox oil viscosity drift and blade leading-edge erosion. the platform’s recommendation engine routes ranked alerts to the right responder, automated maintenance scheduling coordinates work across sites, and a multi-site map with drill-down to per-turbine asset analysis gives operators a single source of truth.
*Illustrative dashboards from the platform. Layout, signals and decision points are scoped per site.
Scope this for your operation.
Tell us about your fleet, your control maturity and the lever that matters most. We’ll map this use case to your starting point.
What this looks like in operation.
Higher energy output
Per-turbine yaw, pitch and operational optimisation surface the levers that aggregate dashboards never expose.
Coordinated maintenance
Predictive maintenance scheduling across sites cuts emergency mobilisations and uses outage windows efficiently.
Defensible performance reporting
Per-asset history with predictive insights produces the evidence trail for regulators, asset owners and PPAs.
Built for these industries.
Other solutions you might explore.
Not a concept. In production.
XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.
Now pushing the frontier.
MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.
