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.
关键词
智慧能源系统/可再生能源/预测/优化调度/机器学习/鲁棒优化
Key words
Smart energy system/Renewable energy/Prediction/Optimization scheduling/Machine learning/Robust optimization
维普
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