– How can detecting failures in wind turbines help in improving profitability?
– How can ML/AI help with detecting failures in wind turbines?
– What are the pit-falls with applying ML/AI at scale that one should be aware of?
Pramod Bangalore is currently Head of Research at Greenbyte AB, a renewable energy tech company headquartered in Sweden. Pramod obtained his PhD in Electric Power Engineering from Chalmers University of Technology in 2016. His PhD demonstrated the use of Machine learning for condition monitoring of wind turbine components. Before he joined Greenbyte, he worked as a Big Data Applications expert in the Computer Science Dept. at Chalmers. His main interests lie in the industrial application of Machine learning and Artificial intelligence methods, especially in the renewable energy sector.
Stage 1 | Applied Data-Driven Maintenance
Program Day 2, Pramod Bangalore – Head of Research | Greenbyte