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://www.ivoryjinelle.com/limited-price-Florida-State-FSU-Seminoles-Maroon-iPhone-13-Pro-Max-Skin-p44288-hot-buy/