ROMEO Seeks to Improve Wind Farms with Machine Learning and IoT at the Edge

ROMEO Seeks to Improve Wind Farms with Machine Learning and IoT at the Edge

Machine learning, IoT and cloud will improve wind turbine maintenance ©2011 Palle Peter Skov, ©Copyright Energinet.dk This past summer a five-year, €16 million EU Horizon 2020 project kicked off to reduce the maintenance cost of wind turbines using predictive machine learning algorithms , the Internet of Things and cloud computing . The project called ROMEO , or “Reliable Operations & Maintenance Decision tools and strategies for high LCoE reduction on Offshore wind”, and not the Shakespearean character, includes a consortium of both large enterprises, small and mid-sized companies and academia from six countries and is led by Iberdrola Renovables […]