Wind variability can cause financial variability. The challenge is to understand this variability in detail to achieve increasingly stable and predictable financial performance for your wind plant portfolio.
WindLogics' new method for variation analysis provides an accurate long-term wind power production time series (not just annual averages) for a wind plant, and for an entire portfolio of wind plants. By combining an accurate 40-year time series from all operating wind plants (or any subset), we get a portfolio time series from which we can calculate the correlation, error of prediction, standard deviation and predictive intervals for the wind plant portfolio as a whole. This provides an understanding of the detailed seasonal and monthly performance characteristics of the entire wind plant portfolio, and becomes a valuable tool in managing wind energy assets.
