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University of Connecticut Zijie Pan University of Connecticut Diego Cerrai University of Connecticut, Western Connecticut State University, University of Connecticut Dongjin Song, University of Connecticut
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Existing power outage prediction models fail to account for spatial weather patterns, but this new approach leverages graph neural networks and contrastive learning to substantially improve prediction accuracy.