Variable Selection in the Kernel Regression Based Short-Term Load Forecasting Model.
Grzegorz DudekPublished in: ICAISC (2) (2012)
Keyphrases
- variable selection
- short term
- forecasting model
- load forecasting
- long term
- electric load forecasting
- input variables
- cross validation
- high dimensional
- ls svm
- kernel function
- dimension reduction
- linear models
- support vector
- model selection
- wind power
- wind speed
- stock market
- feature space
- high dimensional data
- neural network
- power generation
- bp neural network
- data sets
- multiple kernel learning
- training data
- feature selection
- machine learning