Site-specific production forecast through data-driven and engineering models
R Braunbehrens,
K Strecker,
A Anand
et al.
Abstract:The present study investigates the predictive capabilities of two site-specific wind power forecasting models. The two approaches make use of a machine learning ensemble model that combines forecasts from several numerical weather predictions (NWP) to match local observations. In the first approach, the training data consists of historical site power production recordings. This yields a black-box model that includes the wind farm behaviour. The second approach is a combination of data-driven and explicit model… Show more
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