Energy
AI-Driven Predictive Maintenance for Wind Farms
Deploying Edge computing and IoT sensors across global wind farms to predict failures before they happen, saving millions.
Solution
Predictive AI Maintenance
Industry
Energy
Company Size
2,000+ Employees
Project Overview
client
Renewable Energy Corp
industry
Energy
solution
IoT Edge AI
technologies
Azure IoT Hub, Machine Learning
duration
10 Months
region
Europe
The Challenge
Unplanned turbine failures in remote locations caused massive repair costs and energy loss.
- 1Reactive maintenance strategy
- 2High cost of emergency repairs
Our Solution
Equipped turbines with IoT sensors streaming data to Azure Machine Learning models.
- Azure IoT Edge deployment
- Custom ML anomaly detection models
The Results
30%
Less Downtime
$5M+
Saved Annually
- Transitioned to proactive maintenance
Technologies Used
Azure IoT HubAzure Machine Learning
“AI is now driving our maintenance schedules.”
Robert Green
Head of Operations
More Success Stories
View all case studies
Retail
Scaling E-commerce Operations During Peak Seasons
Leveraging auto-scaling and managed services to support a multi-national retailer's explosive growth during holiday campaigns.
Impact3x
Government
Modernizing Public Sector Citizen Services
Building a scalable, secure citizen portal that handles millions of requests while meeting strict federal compliance standards.
Impact99.9%
Real Estate
Digitizing Property Management at Scale
Transforming manual processes into an automated, cloud-native platform that unified data across 500+ commercial properties.
Impact60%