Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects

Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects

Globally, wind energy is growing rapidly and has received huge consideration to fulfill global energy requirements. An accurate wind power forecasting is crucial to achieve a stable and reliable operation of the power grid. However, the unpredictability and stochastic characteristics of wind power a...

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Bibliographic Details
Main Authors: M. S. Hossain Lipu, Md. Sazal Miah, M. A. Hannan, Aini Hussain, Mahidur R. Sarker, Afida Ayob, Mohamad Hanif Md Saad, Md. Sultan Mahmud
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Wind power forecasting
artificial intelligence
machine learning
deep learning
optimization
hybrid approaches
Online Access:https://ieeexplore.ieee.org/document/9483904/

Internet

https://ieeexplore.ieee.org/document/9483904/

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