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- Title
Variance stabilizing transformation of wind forecast errors.
- Authors
Woodruff, David L.; Slevogt, Gerrit
- Abstract
Variance stabilizing transformations are often used in statistical analysis to support simple graphical analysis and also a variety of statistical tests. We describe a variance-stabilizing transformation popular in bioinformatics and demonstrate its application to wide-area wind power data, where indeed it helps to reduce the dependence of the variance of the errors on the power level because it stabilizes the variance of the historic forecasts and observations. The stabilization occurs even in an environment where the forecast process itself is not stationary. We also demonstrate that the method seems to be robust with respect to the value of its control parameter, which can be estimated from wind power data. Copyright © 2015 John Wiley & Sons, Ltd.
- Subjects
WIND power; STATISTICS; BIOINFORMATICS; FORECASTING; LINEAR statistical models
- Publication
Wind Energy, 2016, Vol 19, Issue 10, p1845
- ISSN
1095-4244
- Publication type
Article
- DOI
10.1002/we.1954