A Novel Efficient DLUBE Model Constructed by Error Interval Coefficients for Clustered Wind Power Prediction

Interval prediction is essential to improve the scheduling and planning of wind power systems. In this study, a novel lower upper bound estimation model based on the gated recurrent unit was proposed for the clustered wind power forecasting. Different from existing research, the proposed model direc...

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Detalhes bibliográficos

Principais autores:	Xiaosheng Peng, Qiyou Xu, Hongyu Wang, Jianxun Lang, Wenze Li, Tao Cai, Shanxu Duan, Yuying Xie, Chaoshun Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2021-01-01
coleção:	IEEE Access
Assuntos:	Gated recurrent unit lower upper bound estimation clustered wind power prediction devised loss functions error interval coefficients
Acesso em linha:	https://ieeexplore.ieee.org/document/9406581/
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