Long-term prediction of wind speed in La Serena City (Chile) using hybrid neural network-particle swarm algorithm
An artificial neural network was used for forecasting of long-term wind speed data (24 and 48 hours ahead) in La Serena City (Chile). In order to obtain a more effective correlation and prediction, a particle swarm algorithm was implemented to update the weights of the network. 43800 data points of...
- Autores:
-
Lazzús, Juan A
Salfate, Ignacio
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2017
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/63587
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/63587
http://bdigital.unal.edu.co/64033/
- Palabra clave:
- 55 Ciencias de la tierra / Earth sciences and geology
Wind speed
time series forecasting
artificial neural network
particle swarm optimization
meteorological data
Velocidad del viento
predicción de series de tiempo
redes neuronales artificiales
optimización de enjambre de particulas
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional