2024
DOI: 10.1049/rpg2.12956
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Hybrid model for wind power estimation based on BIGRU network and error discrimination‐correction

Yalong Li,
Ye Jin,
Yangqing Dan
et al.

Abstract: Accurate estimation of wind power is essential for predicting and maintaining the power balance in the power system. This paper proposes a novel approach to enhance the accuracy of wind power estimation through a hybrid model integrating neural networks and error discrimination‐correction techniques. In order to improve the accuracy of estimation, a bidirectional gating recurrent unit is developed, forming an initial wind power estimation curve through training. Additionally, a sequential model‐based algorithm… Show more

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