Case Study: ENGIE Digital achieves scalable AI-driven renewable energy analytics with Microsoft Azure

ENGIE brings AI to renewable energy platform, helps decarbonize energy production with Azure

ENGIE Digital needed a more scalable, flexible way to manage the massive stream of IoT data coming from renewable energy assets for its Darwin operational performance platform. Its aging system could no longer handle the volume and complexity of data needed to monitor wind, solar, biogas, and hydroelectric sites efficiently, so it turned to Microsoft Azure, including Azure Time Series Insights and Azure IoT Edge.

With Microsoft Azure, ENGIE Digital modernized Darwin into a cloud-based, AI-driven analytics platform with real-time dashboards, anomaly detection, and improved forecasting. The solution processes billions of IoT data points, improves production predictions, supports teams across hundreds of renewable energy sites, and lowers storage costs through a more efficient data model—helping ENGIE reduce disruptions, boost energy output, and advance decarbonization goals.

ENGIE Digital

Sebastien Gauthier

Head of Darwin Delivery