With the continuous advancement of the construction goals of “carbon neutrality” and “carbon peaking”, the energy Internet, as the main driving force for achieving the “dual carbon” goal, can provide openness for the integration of equipment for energy generation, transmission, storage, and consumption. Based on the existing information and communication technology, it can effectively improve the level of energy management and control. This paper aims at the coordination and management of renewable energy and traditional energy, and constructs a conventional power system model based on grid companies, energy storage companies, microgrids and power users. First of all, the problem of energy management is transformed into a three-stage Stackelberg game, which maximizes personal income while meeting the reliable operation of the system and the power demand of users. The three-stage non-cooperative game problem is solved based on the reverse guidance method, so as to obtain the closed expression of the optimal strategy at each stage. The power generation forecasting technology based on big data is studied, and an electric energy forecasting method is proposed that can effectively guide the energy consumption of microgrids. The simulation results show the validity of the big data-based renewable energy management model proposed in this paper, and verify that the accurate wind power prediction results are conducive to the theoretical analysis of better energy management.