Research on Renewable Energy Prediction and Scheduling Optimization Algorithms in Smart Energy Systems
Renewable energy has become an important driving force for global energy transformation.The large-scale integration of renewable energy poses challenges to the optimization and scheduling of smart energy systems.This article proposed a machine learning based multi time scale prediction method and a robust optimization sched-uling model considering prediction errors to address the uncertainty and volatility of renewable energy output,effec-tively improving the system's ability to absorb renewable energy and operational economy.The simulation analysis verified the feasibility and superiority of the proposed method.
Smart energy systemRenewable energyPredictionOptimization schedulingMachine learningRobust optimization
万方数据
维普
