A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources

A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources

Nowadays, learning-based modeling system is adopted to establish an accurate prediction model for renewable energy resources. Computational Intelligence (CI) methods have become significant tools in production and optimization of renewable energies. The complexity of this type of energy lies in its...

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Bibliographic Details
Main Authors: Shahab Shamshirband, Timon Rabczuk, Kwok-Wing Chau
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Big dataset
deep learning
modeling
optimizing
solar energy
wind energy
Online Access:https://ieeexplore.ieee.org/document/8894383/

Internet

https://ieeexplore.ieee.org/document/8894383/

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