Turning Blurry Wind Data into Crystal-Clear Insights
Deep learning has been a game changer in many industries, from autonomous vehicles to natural language processing. Now, this powerful technology is making waves in the renewable energy sector, specifically in the creation of high-resolution wind resource maps using super-resolution models. These maps are vital for wind farm developers to optimise turbine placement and accurately estimate energy production.
By Mike Optis, Veer Renewables, and Jacob Schnell, University of Waterloo, Canada