Method for providing wind data
AssigneeWobben Properties GmbH
InventorsFrederik Berger, Milan Damminger, Tim Homeyer, Michael Brüdgam
Life of this patent
Estimating the term…
Loading patent…
AssigneeWobben Properties GmbH
InventorsFrederik Berger, Milan Damminger, Tim Homeyer, Michael Brüdgam
Estimating the term…
The present disclosure is directed to method for providing wind data at a prediction location includes providing training data sets for a plurality of installation locations for wind turbines, wherein the training data sets are obtained from public databases, preparing the training data sets for machine learning by transforming the training data sets into features, training a prediction model for predicting at least one statistical wind condition at the location based on the features, obtaining a target location, in particular from a Customer Relationship Management (CRM) system, predicting the at least one statistical wind condition at the target location using the trained prediction model, and providing wind data including the predicted at least one statistical wind condition to the CRM system.
A method for providing wind data at a location, comprising
Dependencies are inferred from the claim text.