Method for planning a layout of a renewable energy site

A method for identifying a renewable energy site, the method comprising:

• obtaining, for at least one geographical area, correlated sets of historical meteorological data and terrain data, relating to the respective geographical area(s);
• deriving a data model using a deep learning algorithm, and on the basis of the correlated sets of historical meteorological data and terrain data, by training the data model, the data model being adapted to identify coherence between meteorological data and terrain data relating to the same geographical area;
• feeding site-specific meteorological data and site-specific terrain data related to at least one geographical area to the data model, each geographical area comprising at least one candidate renewable energy site, the site-specific terrain data having a higher resolution than the site-specific meteorological data;
• obtaining estimated meteorological data related to the geographical area(s) with increased resolution by downscaling the site-specific meteorological data, using the data model, and based on the site-specific meteorological data and the site-specific terrain data fed to the data model;
• identifying at least one suitable renewable energy site within the at least one geographical area on the basis of the estimated meteorological data related to the geographical area(s) with increased resolution;
• and
• estimating an energy production of the renewable energy site based on the estimated meteorological data with increased resolution for the renewable energy site and based on the layout of the renewable energy site.