To address this, this paper proposes an end-to-end decision-focused framework that jointly optimizes probabilistic forecasting and robust operation for microgrids. First, a hybrid prediction model. . High penetration of renewable energy sources (RES) introduces significant uncertainty and intermittency into microgrid operations, posing challenges to economic and reliable scheduling. To address. . [Objective] To address the negative impacts of renewable energy and load uncertainty on the economic performance and low-carbon optimization operation of multi-energy microgrids,this paper explores the potential of comprehensive demand response and proposes a low-conservatism robust solution method. . Hybrid renewable energy sources and microgrids will determine future electricity generation and supply.
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