Wind Speed Prediction Using Hybrid 1D CNN and BLSTM Network

As the world witnesses population increase, the global power demand is increasing and the need for exploring other alternative clean and self-renewable sources of energy such as wind has become necessary. For optimal operation of the wind farms and stability of the grid, wind prediction ahead of tim...

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Bibliographic Details
Main Authors:	Abdulmajid Lawal, Shafiqur Rehman, Luai M. Alhems, Md. Mahbub Alam
Format:	article
Language:	EN
Published:	IEEE 2021
Subjects:	Convolutional neural network long short term memory wind speed prediction machine learning hybrid model above ground level Electrical engineering. Electronics. Nuclear engineering TK1-9971
Online Access:	https://doaj.org/article/6eb8a4e5698c49dfa79c1623bcb788f7
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Wind Speed Prediction Using Hybrid 1D CNN and BLSTM Network

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