A methodology for the synthetic generation of hourly wind speed time series based on some known aggregate input data

► We proposed a methodology for synthetic generation of hourly wind speed time series. ► The generation model is able to adapt to a different number and type of input data. ► Model validation is carried out examining two Italian localities. ► Model performances are assessed comparing features of measured and generated data. ► Best results are obtained when mean and maximum measured wind speeds are known.