Day-Ahead Electricity Price Forecasting Strategy Based on Machine Learning and Optimization Algorithm

Electric power marketization is the product of the continuous development of the current electric power system. Day-ahead electricity price plays an important role in power market, so the prediction of day-ahead electricity price becomes very important. In this paper, the load rate of the system is introduced, and the machine learning algorithm is adopted. In addition, the improvement and expansion of the machine learning algorithm are realized by combining the tuning advantage of the bionic optimization algorithm, and then the accurate prediction of day-ahead electricity price is realized. The results show that this strategy algorithm can greatly improve the accuracy of day-ahead electricity price forecasting.