With more than 16 GW of installed renewable capacity and operations spanning 28 global markets, this renewable energy leader manages hundreds of wind farms across Europe, North America, and Latin America.In their pursuit of operational excellence, the company partnered with Enlitia to explore how AI could predict wind turbine failures before they happen, unlocking new levels of efficiency and reliability.
Before collaborating with Enlitia, the customer faced a common challenge among large renewable operators: turning vast amounts of SCADA, weather, and event data into actionable insights.
Their goal was ambitious - anticipate failures, reduce downtime, and move from reactive to predictive maintenance across their global fleet.
Through Enlitia’s platform, the customer:
The results of this collaboration went beyond maintenance performance. By predicting critical component faults up to 24 hours in advance, and external weather-related events up to seven days ahead, the company enabled smarter workforce planning and reduced energy losses.
Trading teams also benefited from earlier fault risk alerts, allowing them to minimise market deviations and improve financial outcomes.
This project marked a significant step toward predictive O&M, combining AI foresight with operational expertise to improve asset reliability and lifetime.
Discover how AI predicted turbine faults up to 24 hours ahead and weather risks seven days in advance. Fill in the form below to access the full Use Case and see how Enlitia is redefining predictive maintenance.
Enlitia is an innovative provider of asset performance management & monitoring solutions, empowering the energy industry to thrive in the digital era. With our pioneering AI Platform, we deliver transformative results, driving growth, performance, and value for our clients. Unlock the power of data with Enlitia today.
