Comprehensive learning particle swarm optimization based memetic algorithm for model selection in short-term load forecasting using support vector regression

- Feature selection and parameter tuning are conducted as a unifying model selection.
- CLPSO-based memetic algorithm is proposed to solve the model selection problem.
- Providing significant improvement compared with other model selection methods.
- Improving accuracy and outperform some counterparts in literature.