Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting.
Di WuBoyu WangDoina PrecupBenoit BouletPublished in: ECML/PKDD (3) (2017)
Keyphrases
- load forecasting
- multiple kernel learning
- support vector regression
- kernel function
- short term
- feature selection
- kernel methods
- power system
- linear combination
- support vector
- electric power
- regression model
- support vector machine
- learning problems
- bp neural network
- rbf neural network
- learning algorithm
- transfer learning
- support vectors
- semi supervised learning
- support vector machine svm
- long term
- multi task
- model selection
- wavelet neural network
- feature space
- multiple features
- neural network
- learning models
- learning tasks
- artificial neural networks
- pattern recognition
- data sets
- supervised learning