Data-Driven Model Predictive Control-Based Proactive Scheduling for Commercial Microgrid Considering Anomaly Detection
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DOI: 10.1109/jsyst.2022.3172397
Abstract: One of the challenging tasks for commercial microgrids with distributed generation is to ensure critical loads resilience during high-impact, low-frequency extreme events. This article proposes a data-driven model predictive control-based proactive scheduling strategy for microgrids… read more here.
Keywords: driven model; proactive scheduling; extreme events; data driven ... See more keywords