A review of measure-correlate-predict (MCP) methods used to estimate long-term wind characteristics at a target site

In addition to offering a description of the linear, non-linear and probabilistic transfer functions used by the different algorithms, the hypotheses on which these functions are based and the data format with which the various methods work (time series or frequency distributions), this review will also cover limitations in the use of MCP methods, the uncertainty associated with them and the different reference data sources that have been studied. In this sense, the extensive collection of MCP methods which is brought together and reviewed in this paper, ranging from the simplest and easiest-to-use models to the most complicated computational ones which require specific user experience, comprises an extremely useful catalogue when it comes to choosing the best predictor method.