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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.
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Latest NewsSlides 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 Papers recently published on forecast evaluation and containment of loss events on the GB power system. Available here.
New Paper! Ciaran Gilbert recently published his work on improving wind farm power forecasts by leveraging data from individual turbines! Read it here.
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