A Method for Forecasting Short-Term Wind Speed Based on EMD and SVM

Autor: Xiao Jing Dang, Haoyong Chen, Xiaoming Jin
Rok vydání: 2013
Předmět:
Zdroj: Applied Mechanics and Materials. 392:622-627
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.392.622
Popis: In this paper, a method for wind speed forecasting based on Empirical Mode Decomposition and Support Vector machine is proposed. Compared with the approach based on Support Vector machine only, the method in this paper use EMD to decompose the data of wind power into several independent intrinsic mode functions (IMF),then model each component with the SVM model and get the final value of the overall wind power prediction. Experiments show the efficiency of the approach with a higher forecasting accuracy.
Databáze: OpenAIRE