This model simulates daily wind speeds based on analysis of historical time series records. The first model (linked below) will generate monthly mean and standard deviation values by analyzing the daily time series to determine the average monthly values and then sample the daily distribution over each month. It is assumed that the daily wind speed values are distributed on a gamma probability distribution. After you run the first model (Wind Model Parameter Generator), copy and paste the resulting mean and standard deviation values to the Daily Wind Model to generate stochastic wind speed values for a forecast model.
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