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Predicting wind speed using Radial basis function neural network

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Radial Basis Function Neural Network

Matlab implemetation of RBF network for prediction of wind speed in an unknown station. Data collected from 12 synoptic meteorological stations in the Republic of Ireland (Haslett and Raftery, Applied Statistics 1989). Description and data itself can be found from the following link.

The clusters from data points is determided using kmeans.

The optimal number of clusters is determined by trying out different number of clusters while observing the error performance. 3 – 100 cluster were tried out for this data, and 14 clusters showed a better learning performance as well as better error convergence on both the training and test data set.

Sigma is calculated using the formula:

Model Training:

  • Training set: Data from 1961-1970
  • Test set: Data from 1971-1978

Model Perfomance:

Actual vs Predicted

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Predicting wind speed using Radial basis function neural network

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