Relevance Vector Machine with compounded kernels for regression and classification in power systems forecasting.
Qing DuanWanxing ShengYan MaPublished in: FSKD (2015)
Keyphrases
- relevance vector machine
- power system
- gaussian processes
- support vector machine
- short term load forecasting
- sparse bayesian learning
- support vector
- nonlinear regression
- bayesian learning
- load forecasting
- support vector regression
- feature space
- multi class
- regression problems
- decision trees
- gaussian process
- linear regression
- feature selection
- hyperparameters
- cross validation
- kernel function
- model selection
- least squares
- feature extraction
- neural network
- kernel methods
- regression model
- k nearest neighbour
- positive data
- fuzzy logic