In this inaugural episode of the Turbit Podcast, CEO Michael Tegtmeier sits down with Dr. Richard Kunert, Head of Data Science, to explore how artificial intelligence is reshaping wind energy operations.
Dr. Kunert shares insights from his journey from neuroscience to predictive maintenance for wind turbines, explaining Turbit's data-driven approach to monitoring that creates "digital twins" of each turbine to detect anomalies before they become costly failures.
The conversation delves into how AI addresses the modern challenges of wind farm operations—larger fleets, more complex assets, and skilled labor shortages—by intelligently prioritizing alerts and helping operators focus their attention where it matters most.
Listen as they discuss practical applications of AI in wind energy, from anomaly detection to root cause prediction, and explore bigger questions about how AI is changing work patterns, creating new business models, and moving the industry toward a future of zero-risk operations.
Key topics:
- How predictive maintenance uses AI to detect issues before they lead to downtime
- The evolution from simple threshold-based monitoring to intelligent relevance prediction
- Combining various data streams to create comprehensive insights about turbine health
- The future of human-AI collaboration in renewable energy management