Multi-Step Short-Term Wind Speed Prediction Using a Residual Dilated Causal Convolutional Network with Nonlinear Attention

Multi-Step Short-Term Wind Speed Prediction Using a Residual Dilated Causal Convolutional Network with Nonlinear Attention

Wind energy is the most used renewable energy worldwide second only to hydropower. However, the stochastic nature of wind speed makes it harder for wind farms to manage the future power production and maintenance schedules efficiently. Many wind speed prediction models exist that focus on advance ne...

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Detalhes bibliográficos
Principais autores: Kumar Shivam, Jong-Chyuan Tzou, Shang-Chen Wu
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2020-04-01
coleção:Energies
Assuntos:
wind speed forecasting
wind energy
machine learning
convolutional neural network
deep learning architectures
time series
Acesso em linha:https://www.mdpi.com/1996-1073/13/7/1772

Internet

https://www.mdpi.com/1996-1073/13/7/1772

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