Research and Application of Load Forecasting Based on Machine Learning and Big Data

On this basis, a new calculation method based on probability theory is proposed, which has a wide application prospect in practical application. Due to the uncertainty and uncertainty of the power grid, it is difficult to accurately model and forecast it with conventional models. In recent years, the wide application of big data, cloud computing, artificial intelligence and other technologies in the power system has brought a huge impact to the power system. This project takes the power system in the power system as the research object, and uses the power system load forecasting technology combining neural network, SVM, random forest and deep neural network to carry out the power system load prediction research of the power system. The accuracy and credibility of the model are verified by the simulation of the model.