Feature selection and hyper parameters optimization for short-term wind power forecast.
Hui HuangRong JiaXiaoyu ShiJun LiangJian DangPublished in: Appl. Intell. (2021)
Keyphrases
- short term
- wind power
- hyperparameters
- long term
- wind speed
- model selection
- feature selection
- forecasting model
- support vector
- power generation
- cross validation
- bayesian inference
- bayesian framework
- random sampling
- load forecasting
- em algorithm
- closed form
- incremental learning
- prior information
- sample size
- maximum a posteriori
- neuro fuzzy
- optimization algorithm
- feature extraction
- ls svm
- maximum likelihood
- machine learning
- learning algorithm
- computational intelligence
- electricity markets
- power system
- feature set
- incomplete data
- knn
- support vector regression
- neural network