Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7112713 | Electric Power Systems Research | 2015 | 7 Pages |
Abstract
A Wind power forecasting method based on the use of discrete time Markov chain models is developed starting from real wind power time series data. It allows to directly obtain in an easy way an estimate of the wind power distributions on a very short-term horizon, without requiring restrictive assumptions on wind power probability distribution. First and Second Order Markov Chain Model are analytically described. Finally, the application of the proposed method is illustrated with reference to a set of real data.
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
A. Carpinone, M. Giorgio, R. Langella, A. Testa,