Proposing a Hybrid Genetic Algorithm based Parsimonious Random Forest Regression (H-GAPRFR) technique for solar irradiance forecasting with feature selection and parameter optimization.
Josalin Jemima J.D. Nelson JayakumarS. Charles RajaVenkatesh P.Published in: Earth Sci. Informatics (2022)
Keyphrases
- parameter optimization
- random forest
- feature selection
- feature set
- support vector regression
- random forests
- model selection
- decision trees
- parameter estimation
- genetic algorithm
- regression model
- genetic algorithm ga
- support vector machine
- differential evolution
- parameter settings
- hyperparameters
- fold cross validation
- support vector
- multi label
- ensemble methods
- pid controller
- machine learning
- prediction model
- evolutionary algorithm
- maximum likelihood
- feature subset
- artificial neural networks
- cross validation
- computer vision
- data sets
- ensemble classifier
- optimization algorithm
- multi class