An Optimization Method for Short-Term Power Load Forecasting Based on IPSO-SVM

To improve the accuracy of short-term power load forecasting, this paper presents an optimization method for short-term power load forecasting, which is based on Improved Particle Swarm Optimization algorithm and Support Vector Machine(IPSO-SVM) combined forecasting model to forecast power load, and constructs a complete short-term power load forecasting model. Compared with traditional PSO-SVM, the optimized IPSO-SVM prediction model has higher prediction accuracy, which has important practical reference value in the research of power load prediction, and provides a new method path for the field of power load forecasting.