Title :
Wind speed forecasting using genetic programming
Author :
Graff, Mario ; Pena, Ruben ; Medina, Aurelio
Author_Institution :
Div. de Estudios de Posgrado, Univ. Michoacana de San Nicolas de Hidalgo, Morelia, Mexico
Abstract :
This contribution presents the application of genetic programming to the problem of time series forecasting. This forecast technique is applied to wind speed time series. The results obtained from the forecasting are used to determine the power generation capacity of a fixed-speed wind turbine, which includes a squirrel cage induction generator. The forecast values obtained with the genetic programming are compared against the original time series data in order to show the precision of this forecast technique.
Keywords :
asynchronous generators; forecasting theory; genetic algorithms; time series; wind turbines; fixed-speed wind turbine; genetic programming; power generation capacity; squirrel cage induction generator; wind speed time series forecasting values; Forecasting; Mathematical model; Predictive models; Time series analysis; Wind forecasting; Wind speed; Wind turbines;
Conference_Titel :
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location :
Cancun
Print_ISBN :
978-1-4799-0453-2
Electronic_ISBN :
978-1-4799-0452-5
DOI :
10.1109/CEC.2013.6557598
