Noise model based -support vector regression with its application to short-term wind speed forecasting
- 1 September 2014
- journal article
- Published by Elsevier BV in Neural Networks
- Vol. 57, 1-11
- https://doi.org/10.1016/j.neunet.2014.05.003
Abstract
No abstract availableKeywords
This publication has 33 references indexed in Scilit:
- Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization ApproachIEEE Transactions on Neural Networks and Learning Systems, 2012
- Clifford Support Vector Machines for Classification, Regression, and RecurrenceIEEE Transactions on Neural Networks, 2010
- Statistical Analysis of Wind Power Forecast ErrorIEEE Transactions on Power Systems, 2008
- On the multivariate Laplace distributionIEEE Signal Processing Letters, 2006
- Bayesian Support Vector Regression Using a Unified Loss FunctionIEEE Transactions on Neural Networks, 2004
- Practical selection of SVM parameters and noise estimation for SVM regressionNeural Networks, 2004
- Experimentally optimal ν in support vector regression for different noise models and parameter settingsNeural Networks, 2004
- Training v-Support Vector Regression: Theory and AlgorithmsNeural Computation, 2002
- Support-vector networksMachine Learning, 1995
- A robust backpropagation learning algorithm for function approximationIEEE Transactions on Neural Networks, 1994