Title :
Forecasting and development of a wind speed emulator based on computational intelligence techniques
Author :
Danier Adriano Montero, L. ; Andres Felipe Mosquera, P. ; Florez Cediel, Oscar David
Author_Institution :
Electron. Eng., U Distrital Francisco Jose de Caldas, Bogota, Colombia
Abstract :
This paper presents the application of fuzzy systems, genetic algorithms for optimization and neural network models as techniques for forecasting of wind speed time series. The results obtained from the forecasting simulations are used to emulate the short term wind speed with an extractor. The solution methods are described and compared between them, to determine the best solution and the respectively analysis.
Keywords :
forecasting theory; fuzzy systems; genetic algorithms; neural nets; time series; wind turbines; computational intelligence techniques; fuzzy systems; genetic algorithms; neural network models; wind speed emulator; wind speed time series forecasting; Artificial neural networks; Backpropagation; Electronic mail; Forecasting; MATLAB; Mathematical model; Wind speed; ANFIS; ANN; FIS; MLP; RBF; VFD; cGA; forecasting; fuzzy systems; sGA; wind speed;
Conference_Titel :
Power Electronics and Power Quality Applications (PEPQA), 2015 IEEE Workshop on
Conference_Location :
Bogota
DOI :
10.1109/PEPQA.2015.7168241
