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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Autores principales:	Abdulmajid Lawal, Shafiqur Rehman, Luai M. Alhems, Md. Mahbub Alam
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Convolutional neural network long short term memory wind speed prediction machine learning hybrid model above ground level Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/6eb8a4e5698c49dfa79c1623bcb788f7
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Wind Speed Prediction Using Hybrid 1D CNN and BLSTM Network

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