Short-term Electricity Price Forecasting with Empirical Mode Decomposition based Ensemble Kernel Machines.
Xueheng QiuPonnuthurai N. SuganthanGehan A. J. AmaratungaPublished in: ICCS (2017)
Keyphrases
- short term
- kernel machines
- empirical mode decomposition
- long term
- load forecasting
- non stationary
- ensemble learning
- learning machines
- support vector
- power generation
- semi supervised
- multi band
- semi supervised learning
- ensemble methods
- kernel function
- neural network
- learning algorithm
- wavelet decomposition
- electricity markets
- multiple kernel learning
- wind speed
- random forest
- learning tasks
- kernel methods
- image reconstruction
- feature selection
- radial basis function
- learning problems
- machine learning algorithms
- artificial neural networks
- reproducing kernel hilbert space
- labeled and unlabeled data
- high dimensional
- training set
- forecasting model
- feature space
- training data
- machine learning