Accurate short-term load forecasting is of momentous significance to ensure safe and economic operation of quick-change electric bus (e-bus) charging stations. In order to improve the accuracy and stability of load prediction. this paper proposes a hybrid model that combines fuzzy clustering (FC). least squares support vector machine (LSSVM). https://herbsdailyes.shop/product-category/b2-vitamins-riboflavin/