A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection.
Zhihao ShangYanhua ChenDaokai LaiMin LiYi YangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- model selection
- machine learning
- parameter estimation
- probabilistic model
- bayesian learning
- selection criterion
- statistical learning
- data mining
- learning algorithm
- sample size
- information criterion
- mixture model
- bayesian networks
- neural network
- short term
- prediction model
- hyperparameters
- active learning
- objective function
- wind speed
- bayesian information criterion
- marginal likelihood