Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction.
Víctor de la PompaAlejandro CatalinaJosé R. DorronsoroPublished in: IDEAL (2) (2018)
Keyphrases
- gaussian process
- support vector regression
- regression model
- gaussian process models
- gaussian processes
- prediction model
- wind energy
- support vector classification
- support vector
- kernel function
- kernel learning
- covariance function
- hyperparameters
- load forecasting
- model selection
- renewable energy
- bayesian framework
- solar energy
- latent variables
- support vector machine
- support vector machine svm
- semi supervised
- feature space
- image processing
- wind farm
- autoregressive conditional heteroscedasticity
- data sets
- kernel matrix
- recurrent neural networks
- em algorithm
- genetic algorithm