兰州大学机构库

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A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China 期刊论文
International Journal of Green Energy, 2016, 卷号: 13, 期号: 6, 页码: 595-607
Authors:  Qin, Shanshan;  Wang, Jianzhou;  Wu, Jie;  Zhao, Ge
Favorite  |    Submit date:2017/01/12
Elman artificial neural network (EANN)  error correction  smooth transition periodic autoregressive (STPAR)  wind energy  wind speed forecasting  
Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm 期刊论文
International Journal of Green Energy, 2016, 卷号: 13, 期号: 11, 页码: 1145-1162
Authors:  Wu, Jie;  Wang, Jianzhou;  Qin, Shanshan;  Lu, Haiyan
Favorite  |    Submit date:2017/01/16
Anomalous value  K-means clustering algorithm  parameter optimization  wind energy  wind power classification