Although the machine-learning model demonstrates high accuracy in wind speed prediction, it struggles to accurately depict fluctuation range of predicted values due inherent uncertainty sequences. To address this limitation and enhance reliability, we propose an effective interval prediction that combines twin support vector regression (TSVR), variational mode decomposition (VMD), slime mould a...