Smart Grid Load Prediction and Coordination Optimization Method Based on Genetic Algorithm

In the construction management of electric power enterprises, with the continuous development of social economy and science and technology, the power industry has gradually changed from monopoly to competition, and in the context of the construction of national unified smart grid in the future, power load forecasting has become more and more important, and its accuracy directly affects the formulation of power system dispatching and development plans. After understanding the load prediction characteristics and research status of power system, this paper systematically studies the application characteristics of BP neural network, clarifies the application value of BP artificial neural network in optimizing the load prediction model of power system, and verifies and analyzes it in combination with practical cases, so as to judge the feasibility of the model in power load forecasting.