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

Roberto Carapellucci and Lorena Giordano

Applied Energy, 2013, vol. 101, issue C, 541-550

Abstract: The availability of hourly wind speed data is becoming increasingly important for ensuring the proper design of wind energy conversion systems. For many sites, measured series of such high resolution are incomplete or entirely lacking; hence the need for a model for synthesizing wind speed data.

Keywords: Wind speed; Synthetic data generation; Diurnal pattern; Optimization algorithm; Autocorrelation function (search for similar items in EconPapers)
Date: 2013
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