Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm
The regression model based on the support vector machine (SVM) is a standard mid-term and long-term load forecasting method.However, the hyperparameters of traditional SVM are challenging to determine, leading to its poor forecasting effect.This paper proposes an improved sparrow search algorithm (ISSA) to solve the problem of hyperparameter select