ANNEA partnered with our team to spearhead a groundbreaking project aimed at revolutionizing the wind energy sector through the implementation of an intelligent turbine health and performance optimization system.



ANNEA presented us with the intricate task of creating an integrated system that seamlessly collects data from wind turbine sensors and processes it in real-time. The objective was to facilitate data refinement, scaling, and frequency conversion, and ultimately enable advanced health assessment, performance prediction, and anomaly detection.



  • Data Integration
  • Real-time Data Processing
  • Advanced Health Assessment Modeling
  • Performance Forecasting
  • Anomaly Detection
  • Structural Integrity Analysis


Key Technologies

  • AWS S3
  • State-of-the-Art Data Processing Algorithms
  • Specialized Scaling and Frequency Conversion Techniques
  • Cutting-edge Health Assessment Algorithm
  • Advanced Performance Prediction Models
  • Anomaly Detection Framework
  • Efficient Deployment using Docker Containers
  • Kubernetes (k8s) for Seamless Scalability
  • Utilization of AWS Cloud Services



The ANNEA collaboration led to the development of a sophisticated wind turbine management solution that redefines industry standards. Leveraging innovative technologies, we engineered an end-to-end system allowing energy providers to effortlessly capture sensor data and undergo a meticulous process encompassing data refinement, scaling, and frequency conversion.


An integral component of our system is an advanced algorithm that computes an insightful health index for each turbine, offering unparalleled visibility into their operational well-being. This information equips providers with the knowledge needed for proactive maintenance planning and optimizing overall performance.


We also implemented state-of-the-art forecasting algorithms to predict turbine behavior over time, empowering stakeholders with precise insights for strategic decision-making. Our anomaly detection module, powered by cutting-edge models, swiftly identifies deviations in power output, ensuring immediate corrective measures are taken.


Our architectural framework employs Docker containers and Kubernetes orchestration for seamless deployment, while AWS services provide robust and reliable cloud infrastructure.


In conclusion, the collaboration between ANNEA and our team yielded a groundbreaking solution that empowers wind turbine energy providers. By offering advanced health insights, accurate performance predictions, and timely anomaly detection, our system equips the industry with the tools needed to enhance operational efficiency, optimize maintenance strategies, and ensure sustainable energy production.




August 20, 2023


Renewable energy