Algorithm Optimization of Short-Term Load Forecasting Model Based on Least Square Support Vector Machine.

Short-term load forecasting can reasonably allocate power resources and keep modern power systems in a stable and reliable working state. Due to the increasing requirements of modern power systems in recent years and the close integration of computer technology and smart grids, artificial intelligence has been widely used in power load forecasting. The least-square support vector machine (LSSVM) model is used in It has good forecasting effect in short-term load forecasting. This article introduces several artificial intelligence algorithms that can be used to optimize model parameters and summarize methods to make model prediction results more accurate.