Wind Power Forecasting Using Attention-Based Recurrent Neural Networks: A Comparative Study

Wind Power Forecasting Using Attention-Based Recurrent Neural Networks: A Comparative Study

Wind power is one of the most efficient renewable resources without emissions. Nonetheless, it is difficult to exactly forecast wind power generation given historical power and wind speed information, the failure of which may cost the risk of large-scale outages. This article takes a close look at t...

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Bibliographic Details
Main Authors: Bin Huang, Yuying Liang, Xiaolin Qiu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Wind power forecast
time-series forecast
recurrent neural network
attention
deep learning
DA-RNN
Online Access:https://ieeexplore.ieee.org/document/9374915/

Internet

https://ieeexplore.ieee.org/document/9374915/

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