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Source Publication:International Journal of Green Energy
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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
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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
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Submit date:2017/01/16
Anomalous value
K-means clustering algorithm
parameter optimization
wind energy
wind power classification