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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Nacional de Colombia
2017-01-01
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| Series: | Earth Sciences Research Journal |
| Subjects: | |
| Online Access: | https://revistas.unal.edu.co/index.php/esrj/article/view/50337 |
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