HIGHLIGHTS
· A hybrid framework considering feature extraction is proposed to achieve a more accurate and stable prediction performance.
· The framework combines variational mode decomposition, the multi-kernel support vector regression model and the optimization algorithm.
· Elite chaotic opposition-learning strategy and adaptive weights are introduced to optimize the sparrow search algorithm.