A Method Based on Numerical Wind Field and Extreme Learning Machine for Typhoon Wind Speed Prediction of Wind Farm
Typhoon wind speed prediction is of great significance for it can help prevent wind farms from damages caused by frequent typhoon disasters in coastal areas. However, most researches on wind forecast are either for meteorological application or for normal weather. Therefore, this paper proposes a sy...
Guardado en:
Autores principales: | Hong Xu, Wan-Yu Wang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi Limited
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/31995c4a3c0c4dcca07dc16457fb322e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry
por: X. Xu, et al.
Publicado: (2021) -
Accuracy of wind speed predictability with heights using Recurrent Neural networks
por: Mohandes M., et al.
Publicado: (2021) -
Short term prediction of wind speed based on long-short term memory networks
por: Salman Umar T., et al.
Publicado: (2021) -
Numerical Simulation of the Stress Field in Repeated Mining of Coal Seams Based on In Situ Stress Measurement
por: Donghui Yang, et al.
Publicado: (2021) -
Typhoon Inversion Method Combined With the YanMeng Wind Field and a Meteorological Monitoring System for Transmission Lines
por: Liqiang An, et al.
Publicado: (2021)