Case Study: a leading renewable energy organization improves wildfire and weather risk alerts with OSEDEA

a leading renewable energy organization launches predictive wildfire AI in 6 weeks with OSEDEA

The customer, a leading renewable energy organization, faced the challenge of managing its widespread power plants amidst increasingly unpredictable weather and growing wildfire risks. Its control centre team lacked a centralized system to monitor these environmental threats, which directly impacted the operations of its hydro, solar, and wind assets. The vendor, OSEDEA, was engaged to develop an AI and data solution to address this.

OSEDEA built a predictive AI dashboard that processes large volumes of weather and satellite data to forecast threats like wildfires, heavy rainfall, and extreme winds. The solution provides real-time alerts and visualizations, enabling faster response times and smarter operational decisions. Completed in just six weeks, the platform allows the customer's team to configure site-specific thresholds and is designed to scale with their growing portfolio of renewable energy assets.