Here are some animations illustrating the spatio-temporal relationships between power at multiple wind farms (top) and wind speed/direction (bottom). Capturing these relationships can improve short-term wind power forecasts.

Latest News

Slides form Bristol Seminar: for most of February I'm a Heilbronn Visitor in Data Science at the University of Bristol and gave this presentation in the Bristol Data Science Seminar Series.
New Paper! Some thoughts from Calum Edmunds, Sergio Martin Martinez, myself and colleagues on wind participating in response and reserve markets. Just published in Renewable and Sustainable Energy Reviews. Enjoy 50 days free access with this link. Pre-print also available.
New Paper! Ciaran Gilbert recently published his work on improving wind farm power forecasts by leveraging data from individual turbines! Read it here.