A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting

Article ID	Journal	Published Year	Pages	File Type
5013146	Energy Conversion and Management	2017	13 Pages	PDF

Keywords

ANN Weight coefficient optimization CPSO WNN MAPE Fnn SSE ARIMA GSA GRNN RMSE RBF ARMA Elman neural network Differential evolution Genetic algorithm back propagation MAE PSO Particle swarm optimization Chaotic particle swarm optimization General Regression Neural Network Feed-forward neural network Artificial Neural Network Wavelet neural network IMF intrinsic mode function Radial basis function Support vector machine SVM combined model Auto regressive moving average Autoregressive Integrated Moving Average Enn Wind speed prediction

Related Topics

Physical Sciences and Engineering Energy Energy (General)

A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting

Authors

Wenyu Zhang, Zongxi Qu, Kequan Zhang, Wenqian Mao, Yining Ma, Xu Fan,